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Google Cloud Platform

Collect logs and metrics from Google Cloud Platform with Elastic Agent.

What is an Elastic integration?
Version
2.33.2 (View all)
Compatible Kibana version(s)
8.12.0 or higher
Supported Serverless project types

What's this?
Security
Observability
Subscription level
What's this?
Basic
Level of support
What's this?
Elastic

The Google Cloud integration collects and parses Google Cloud Audit Logs, VPC Flow Logs, Firewall Rules Logs and Cloud DNS Logs that have been exported from Cloud Logging to a Google Pub/Sub topic sink and collects Google Cloud metrics and metadata from Google Cloud Monitoring.

Authentication

To use this Google Cloud Platform (GCP) integration, you need to set up a Service Account with a Role and a Service Account Key to access data on your GCP project.

Service Account

First, you need to create a Service Account. A Service Account (SA) is a particular type of Google account intended to represent a non-human user who needs to access the GCP resources.

The Elastic Agent uses the SA to access data on Google Cloud Platform using the Google APIs.

If you haven't already, this might be a good moment to check out the best practices for securing service accounts guide.

Role

You need to grant your Service Account (SA) access to Google Cloud Platform resources by assigning a role to the account. In order to assign minimal privileges, create a custom role that has only the privileges required by Agent. Those privileges are:

  • compute.instances.list (required for GCP Compute instance metadata collection) **
  • monitoring.metricDescriptors.list
  • monitoring.timeSeries.list
  • pubsub.subscriptions.consume
  • pubsub.subscriptions.create *
  • pubsub.subscriptions.get
  • pubsub.topics.attachSubscription *

* Only required if Agent is expected to create a new subscription. If you create the subscriptions yourself you may omit these privileges. ** Only required if corresponding collection will be enabled.

After you have created the custom role, assign the role to your service account.

Service Account Keys

Now, with your brand new Service Account (SA) with access to Google Cloud Platform (GCP) resources, you need some credentials to associate with it: a Service Account Key.

From the list of SA:

  1. Click the one you just created to open the detailed view.
  2. From the Keys section, click "Add key" > "Create new key" and select JSON as the type.
  3. Download and store the generated private key securely (remember, the private key can't be recovered from GCP if lost).

Configure the Integration Settings

The next step is to configure the general integration settings used for all logs from the supported services (Audit, DNS, Firewall, and VPC Flow).

The "Project Id" and either the "Credentials File" or "Credentials JSON" will need to be provided in the integration UI when adding the Google Cloud Platform integration.

Project Id

The Project Id is the Google Cloud project ID where your resources exist.

Credentials File vs Json

Based on your preference, specify the information in either the Credentials File OR the Credentials JSON field.

Option 1: Credentials File

Save the JSON file with the private key in a secure location of the file system, and make sure that the Elastic Agent has at least read-only privileges to this file.

Specify the file path in the Elastic Agent integration UI in the "Credentials File" field. For example: /home/ubuntu/credentials.json.

Option 2: Credentials JSON

Specify the content of the JSON file you downloaded from Google Cloud Platform directly in the Credentials JSON field in the Elastic Agent integration.

Recommendations

Elastic recommends using Credentials File, as in this method the credential information doesn’t leave your Google Cloud Platform environment. When using Credentials JSON, the integration stores the info in Elasticsearch, and the access is controlled based on policy permissions or access to underlying Elasticsearch data.

Logs Collection Configuration

With a properly configured Service Account and the integration setting in place, it's time to start collecting some logs.

Requirements

You need to create a few dedicated Google Cloud resources before starting, in detail:

  • Log Sink
  • Pub/Sub Topic
  • Subscription

Elastic recommends separate Pub/Sub topics for each of the log types so that they can be parsed and stored in a specific data stream.

Here's an example of collecting Audit Logs using a Pub/Sub topic, a subscription, and a Log Router. We will create the resources in the Google Cloud Console and then configure the Google Cloud Platform integration.

On the Google Cloud Console

At a high level, the steps required are:

  • Visit "Logging" > "Log Router" > "Create Sink" and provide a sink name and description.
  • In "Sink destination", select "Cloud Pub/Sub topic" as the sink service. Select an existing topic or "Create a topic". Note the topic name, as it will be provided in the Topic field in the Elastic agent configuration.
  • If you created a new topic, you must remember to go to that topic and create a subscription for it. A subscription directs messages on a topic to subscribers. Note the "Subscription ID", as it will need to be entered in the "Subscription name" field in the integration settings.
  • Under "Choose logs to include in sink", for example add logName:"cloudaudit.googleapis.com" in the "Inclusion filter" to include all audit logs.

This is just an example; you will need to create your filter expression to select the log types you want to export to the Pub/Sub topic.

More example filters for different log types:

#
# VPC Flow: logs for specific subnet
#
resource.type="gce_subnetwork" AND
log_id("compute.googleapis.com/vpc_flows") AND
resource.labels.subnetwork_name"=[SUBNET_NAME]"
#
# Audit: Google Compute Engine firewall rule deletion
#
resource.type="gce_firewall_rule" AND
log_id("cloudaudit.googleapis.com/activity") AND
protoPayload.methodName:"firewalls.delete"
#
# DNS: all DNS queries
#
resource.type="dns_query"
#
# Firewall: logs for a given country
#
resource.type="gce_subnetwork" AND
log_id("compute.googleapis.com/firewall") AND
jsonPayload.remote_location.country=[COUNTRY_ISO_ALPHA_3]

Start working on your query using the Google Cloud Logs Explorer, so you can preview and pinpoint the exact log types you want to forward to your Elastic Stack.

To learn more, please read how to Build queries in the Logs Explorer, and take a look at the Sample queries using the Logs Explorer page in the Google Cloud docs.

On Kibana

Visit "Management" > "Integrations" > "Installed Integrations" > "Google Cloud Platform" and select the "Integration Policies" tab. Select the integration policy you previously created.

From the list of services, select "Google Cloud Platform (GCP) audit logs (gcp-pubsub)" and:

  • On the "Topic" field, specify the "topic name" you noted before on the Google Cloud Console.
  • On the "Subscription Name", specify the short subscription name you noted before on the Google Cloud Console (note: do NOT use the full-blown subscription name made of project/PROJECT_ID/subscriptions/SUBSCRIPTION_ID). Just pick the Subscription ID from the Google Cloud Console).
  • Click on "Save Integration", and make sure the Elastic Agent gets the updated policy.

Troubleshooting

If you don't see Audit logs showing up, check the Agent logs to see if there are errors.

Common error types:

  • Missing roles in the Service Account
  • Misconfigured settings, like "Project Id", "Topic" or "Subscription Name" fields

Missing Roles in the Service Account

If your Service Account (SA) does not have the required roles, you might find errors like this one in the elastic_agent.filebeat dataset:

failed to subscribe to pub/sub topic: failed to check if subscription exists: rpc error: code = PermissionDenied desc = User not authorized to perform this action.

Solution: make sure your SA has all the required roles.

Misconfigured Settings

If you specify the wrong "Topic field" or "Subscription Name", you might find errors like this one in the elastic_agent.filebeat dataset:

[elastic_agent.filebeat][error] failed to subscribe to pub/sub topic: failed to check if subscription exists: rpc error: code = InvalidArgument desc = Invalid resource name given (name=projects/project/subscriptions/projects/project/subscriptions/non-existent-sub). Refer to https://cloud.google.com/pubsub/docs/admin#resource_names for more information.

Solution: double check the integration settings.

Metrics Collection Configuration

With a properly configured Service Account and the integration setting in place, it's time to start collecting some metrics.

Requirements

No additional requirement is needed to collect metrics.

Troubleshooting

If you don't see metrics showing up, check the Agent logs to see if there are errors.

Common error types:

  • Period is lower than 60 seconds
  • Missing roles in the Service Account
  • Misconfigured settings, like "Project Id"

Period is lower than 60 seconds

Usual minimum collection period for GCP metrics is 60 seconds. Any value lower than that cause an error when retrieving the metric metadata. If an error happens, the affected metric is skipped at the metric collection stage, resulting in no data being sent.

Missing Roles in the Service Account

If your Service Account (SA) does not have required roles, you might find errors related to accessing GCP resources.

To check you may add Monitoring Viewer and Compute Viewer roles (built-in GCP roles) to your SA. These roles contain the permission added in the previous step and expand them with additional permissions. You can analyze additional missing permissions from the GCP Console > IAM > clicking on the down arrow near the roles on the same line of your SA > View analyzed permissions. From the shown table you can check which permissions from the role the SA is actively using. They should match what you configured in your custom role.

Misconfigured Settings

If you specify a wrong setting you will probably find errors related to missing GCP resources.

Make sure the settings are correct and the SA has proper permissions for the given "Project Id".

Logs

Audit

The audit dataset collects audit logs of administrative activities and accesses within your Google Cloud resources.

Exported fields

FieldDescriptionType
@timestamp
Event timestamp.
date
client.user.email
User email address.
keyword
client.user.id
Unique identifier of the user.
keyword
cloud.account.id
The cloud account or organization id used to identify different entities in a multi-tenant environment. Examples: AWS account id, Google Cloud ORG Id, or other unique identifier.
keyword
cloud.availability_zone
Availability zone in which this host is running.
keyword
cloud.image.id
Image ID for the cloud instance.
keyword
cloud.instance.id
Instance ID of the host machine.
keyword
cloud.instance.name
Instance name of the host machine.
keyword
cloud.machine.type
Machine type of the host machine.
keyword
cloud.project.id
Name of the project in Google Cloud.
keyword
cloud.provider
Name of the cloud provider. Example values are aws, azure, gcp, or digitalocean.
keyword
cloud.region
Region in which this host is running.
keyword
container.id
Unique container id.
keyword
container.image.name
Name of the image the container was built on.
keyword
container.labels
Image labels.
object
container.name
Container name.
keyword
container.runtime
Runtime managing this container.
keyword
data_stream.dataset
Data stream dataset.
constant_keyword
data_stream.namespace
Data stream namespace.
constant_keyword
data_stream.type
Data stream type.
constant_keyword
ecs.version
ECS version this event conforms to. ecs.version is a required field and must exist in all events. When querying across multiple indices -- which may conform to slightly different ECS versions -- this field lets integrations adjust to the schema version of the events.
keyword
error.code
Error code describing the error.
keyword
error.message
Error message.
match_only_text
event.action
The action captured by the event. This describes the information in the event. It is more specific than event.category. Examples are group-add, process-started, file-created. The value is normally defined by the implementer.
keyword
event.created
event.created contains the date/time when the event was first read by an agent, or by your pipeline. This field is distinct from @timestamp in that @timestamp typically contain the time extracted from the original event. In most situations, these two timestamps will be slightly different. The difference can be used to calculate the delay between your source generating an event, and the time when your agent first processed it. This can be used to monitor your agent's or pipeline's ability to keep up with your event source. In case the two timestamps are identical, @timestamp should be used.
date
event.dataset
Event dataset
constant_keyword
event.id
Unique ID to describe the event.
keyword
event.ingested
Timestamp when an event arrived in the central data store. This is different from @timestamp, which is when the event originally occurred. It's also different from event.created, which is meant to capture the first time an agent saw the event. In normal conditions, assuming no tampering, the timestamps should chronologically look like this: @timestamp < event.created < event.ingested.
date
event.kind
This is one of four ECS Categorization Fields, and indicates the highest level in the ECS category hierarchy. event.kind gives high-level information about what type of information the event contains, without being specific to the contents of the event. For example, values of this field distinguish alert events from metric events. The value of this field can be used to inform how these kinds of events should be handled. They may warrant different retention, different access control, it may also help understand whether the data coming in at a regular interval or not.
keyword
event.module
Event module
constant_keyword
event.original
Raw text message of entire event. Used to demonstrate log integrity or where the full log message (before splitting it up in multiple parts) may be required, e.g. for reindex. This field is not indexed and doc_values are disabled. It cannot be searched, but it can be retrieved from _source. If users wish to override this and index this field, please see Field data types in the Elasticsearch Reference.
keyword
event.outcome
This is one of four ECS Categorization Fields, and indicates the lowest level in the ECS category hierarchy. event.outcome simply denotes whether the event represents a success or a failure from the perspective of the entity that produced the event. Note that when a single transaction is described in multiple events, each event may populate different values of event.outcome, according to their perspective. Also note that in the case of a compound event (a single event that contains multiple logical events), this field should be populated with the value that best captures the overall success or failure from the perspective of the event producer. Further note that not all events will have an associated outcome. For example, this field is generally not populated for metric events, events with event.type:info, or any events for which an outcome does not make logical sense.
keyword
gcp.audit.authentication_info.authority_selector
The authority selector specified by the requestor, if any. It is not guaranteed that the principal was allowed to use this authority.
keyword
gcp.audit.authentication_info.principal_email
The email address of the authenticated user making the request.
keyword
gcp.audit.authentication_info.principal_subject
String representation of identity of requesting party. Populated for both first and third party identities. Only present for APIs that support third-party identities.
keyword
gcp.audit.authorization_info.granted
Whether or not authorization for resource and permission was granted.
boolean
gcp.audit.authorization_info.permission
The required IAM permission.
keyword
gcp.audit.authorization_info.resource
The resource being accessed, as a REST-style string.
keyword
gcp.audit.authorization_info.resource_attributes.name
The name of the resource.
keyword
gcp.audit.authorization_info.resource_attributes.service
The name of the service.
keyword
gcp.audit.authorization_info.resource_attributes.type
The type of the resource.
keyword
gcp.audit.flattened
Contains the full audit document as sent by GCP.
flattened
gcp.audit.labels
A map of key, value pairs that provides additional information about the log entry. The labels can be user-defined or system-defined.
flattened
gcp.audit.logentry_operation.first
Optional. Set this to True if this is the first log entry in the operation.
boolean
gcp.audit.logentry_operation.id
Optional. An arbitrary operation identifier. Log entries with the same identifier are assumed to be part of the same operation.
keyword
gcp.audit.logentry_operation.last
Optional. Set this to True if this is the last log entry in the operation.
boolean
gcp.audit.logentry_operation.producer
Optional. An arbitrary producer identifier. The combination of id and producer must be globally unique.
keyword
gcp.audit.method_name
The name of the service method or operation. For API calls, this should be the name of the API method. For example, 'google.datastore.v1.Datastore.RunQuery'.
keyword
gcp.audit.num_response_items
The number of items returned from a List or Query API method, if applicable.
long
gcp.audit.request
flattened
gcp.audit.request_metadata.caller_ip
The IP address of the caller.
ip
gcp.audit.request_metadata.caller_supplied_user_agent
The user agent of the caller. This information is not authenticated and should be treated accordingly.
keyword
gcp.audit.request_metadata.raw.caller_ip
The raw IP address of the caller.
keyword
gcp.audit.resource_location.current_locations
Current locations of the resource.
keyword
gcp.audit.resource_name
The resource or collection that is the target of the operation. The name is a scheme-less URI, not including the API service name. For example, 'shelves/SHELF_ID/books'.
keyword
gcp.audit.response
flattened
gcp.audit.service_name
The name of the API service performing the operation. For example, datastore.googleapis.com.
keyword
gcp.audit.status.code
The status code, which should be an enum value of google.rpc.Code.
integer
gcp.audit.status.message
A developer-facing error message, which should be in English. Any user-facing error message should be localized and sent in the google.rpc.Status.details field, or localized by the client.
keyword
gcp.audit.type
Type property.
keyword
gcp.destination.instance.project_id
ID of the project containing the VM.
keyword
gcp.destination.instance.region
Region of the VM.
keyword
gcp.destination.instance.zone
Zone of the VM.
keyword
gcp.destination.vpc.project_id
ID of the project containing the VM.
keyword
gcp.destination.vpc.subnetwork_name
Subnetwork on which the VM is operating.
keyword
gcp.destination.vpc.vpc_name
VPC on which the VM is operating.
keyword
gcp.source.instance.project_id
ID of the project containing the VM.
keyword
gcp.source.instance.region
Region of the VM.
keyword
gcp.source.instance.zone
Zone of the VM.
keyword
gcp.source.vpc.project_id
ID of the project containing the VM.
keyword
gcp.source.vpc.subnetwork_name
Subnetwork on which the VM is operating.
keyword
gcp.source.vpc.vpc_name
VPC on which the VM is operating.
keyword
host.architecture
Operating system architecture.
keyword
host.containerized
If the host is a container.
boolean
host.domain
Name of the domain of which the host is a member. For example, on Windows this could be the host's Active Directory domain or NetBIOS domain name. For Linux this could be the domain of the host's LDAP provider.
keyword
host.hostname
Hostname of the host. It normally contains what the hostname command returns on the host machine.
keyword
host.id
Unique host id. As hostname is not always unique, use values that are meaningful in your environment. Example: The current usage of beat.name.
keyword
host.ip
Host ip addresses.
ip
host.mac
Host mac addresses.
keyword
host.name
Name of the host. It can contain what hostname returns on Unix systems, the fully qualified domain name, or a name specified by the user. The sender decides which value to use.
keyword
host.os.build
OS build information.
keyword
host.os.codename
OS codename, if any.
keyword
host.os.family
OS family (such as redhat, debian, freebsd, windows).
keyword
host.os.kernel
Operating system kernel version as a raw string.
keyword
host.os.name
Operating system name, without the version.
keyword
host.os.name.text
Multi-field of host.os.name.
text
host.os.platform
Operating system platform (such centos, ubuntu, windows).
keyword
host.os.version
Operating system version as a raw string.
keyword
host.type
Type of host. For Cloud providers this can be the machine type like t2.medium. If vm, this could be the container, for example, or other information meaningful in your environment.
keyword
input.type
Input type
keyword
log.file.path
Full path to the log file this event came from, including the file name. It should include the drive letter, when appropriate. If the event wasn't read from a log file, do not populate this field.
keyword
log.level
Original log level of the log event. If the source of the event provides a log level or textual severity, this is the one that goes in log.level. If your source doesn't specify one, you may put your event transport's severity here (e.g. Syslog severity). Some examples are warn, err, i, informational.
keyword
log.logger
The name of the logger inside an application. This is usually the name of the class which initialized the logger, or can be a custom name.
keyword
log.offset
Log offset
long
message
For log events the message field contains the log message, optimized for viewing in a log viewer. For structured logs without an original message field, other fields can be concatenated to form a human-readable summary of the event. If multiple messages exist, they can be combined into one message.
match_only_text
orchestrator.api_version
API version being used to carry out the action
keyword
orchestrator.cluster.name
Name of the cluster.
keyword
orchestrator.cluster.url
URL of the API used to manage the cluster.
keyword
orchestrator.cluster.version
The version of the cluster.
keyword
orchestrator.namespace
Namespace in which the action is taking place.
keyword
orchestrator.organization
Organization affected by the event (for multi-tenant orchestrator setups).
keyword
orchestrator.resource.name
Name of the resource being acted upon.
keyword
orchestrator.resource.type
Type of resource being acted upon.
keyword
orchestrator.type
Orchestrator cluster type (e.g. kubernetes, nomad or cloudfoundry).
keyword
service.name
Name of the service data is collected from. The name of the service is normally user given. This allows for distributed services that run on multiple hosts to correlate the related instances based on the name. In the case of Elasticsearch the service.name could contain the cluster name. For Beats the service.name is by default a copy of the service.type field if no name is specified.
keyword
source.address
Some event source addresses are defined ambiguously. The event will sometimes list an IP, a domain or a unix socket. You should always store the raw address in the .address field. Then it should be duplicated to .ip or .domain, depending on which one it is.
keyword
source.as.number
Unique number allocated to the autonomous system. The autonomous system number (ASN) uniquely identifies each network on the Internet.
long
source.as.organization.name
Organization name.
keyword
source.as.organization.name.text
Multi-field of source.as.organization.name.
match_only_text
source.geo.city_name
City name.
keyword
source.geo.continent_name
Name of the continent.
keyword
source.geo.country_iso_code
Country ISO code.
keyword
source.geo.country_name
Country name.
keyword
source.geo.location
Longitude and latitude.
geo_point
source.geo.region_iso_code
Region ISO code.
keyword
source.geo.region_name
Region name.
keyword
source.ip
IP address of the source (IPv4 or IPv6).
ip
tags
List of keywords used to tag each event.
keyword
user.email
User email address.
keyword
user_agent.device.name
Name of the device.
keyword
user_agent.name
Name of the user agent.
keyword
user_agent.original
Unparsed user_agent string.
keyword
user_agent.original.text
Multi-field of user_agent.original.
match_only_text
user_agent.os.family
OS family (such as redhat, debian, freebsd, windows).
keyword
user_agent.os.full
Operating system name, including the version or code name.
keyword
user_agent.os.full.text
Multi-field of user_agent.os.full.
match_only_text
user_agent.os.kernel
Operating system kernel version as a raw string.
keyword
user_agent.os.name
Operating system name, without the version.
keyword
user_agent.os.name.text
Multi-field of user_agent.os.name.
match_only_text
user_agent.os.platform
Operating system platform (such centos, ubuntu, windows).
keyword
user_agent.os.version
Operating system version as a raw string.
keyword
user_agent.version
Version of the user agent.
keyword

An example event for audit looks as following:

{
    "@timestamp": "2019-12-19T00:44:25.051Z",
    "agent": {
        "ephemeral_id": "a22278bb-5e1f-4ab7-b468-277c8c0b80a9",
        "id": "c6b95057-2f5d-4b8f-b4b5-37cbdb995dec",
        "name": "docker-fleet-agent",
        "type": "filebeat",
        "version": "8.7.1"
    },
    "client": {
        "user": {
            "email": "xxx@xxx.xxx"
        }
    },
    "cloud": {
        "project": {
            "id": "elastic-beats"
        },
        "provider": "gcp"
    },
    "data_stream": {
        "dataset": "gcp.audit",
        "namespace": "ep",
        "type": "logs"
    },
    "ecs": {
        "version": "8.8.0"
    },
    "elastic_agent": {
        "id": "c6b95057-2f5d-4b8f-b4b5-37cbdb995dec",
        "snapshot": false,
        "version": "8.7.1"
    },
    "event": {
        "action": "beta.compute.instances.aggregatedList",
        "agent_id_status": "verified",
        "category": [
            "network",
            "configuration"
        ],
        "created": "2023-10-25T04:18:46.637Z",
        "dataset": "gcp.audit",
        "id": "yonau2dg2zi",
        "ingested": "2023-10-25T04:18:47Z",
        "kind": "event",
        "outcome": "success",
        "provider": "data_access",
        "type": [
            "access",
            "allowed"
        ]
    },
    "gcp": {
        "audit": {
            "authorization_info": [
                {
                    "granted": true,
                    "permission": "compute.instances.list",
                    "resource_attributes": {
                        "name": "projects/elastic-beats",
                        "service": "resourcemanager",
                        "type": "resourcemanager.projects"
                    }
                }
            ],
            "num_response_items": 61,
            "request": {
                "@type": "type.googleapis.com/compute.instances.aggregatedList"
            },
            "resource_location": {
                "current_locations": [
                    "global"
                ]
            },
            "resource_name": "projects/elastic-beats/global/instances",
            "response": {
                "@type": "core.k8s.io/v1.Status",
                "apiVersion": "v1",
                "details": {
                    "group": "batch",
                    "kind": "jobs",
                    "name": "gsuite-exporter-1589294700",
                    "uid": "2beff34a-945f-11ea-bacf-42010a80007f"
                },
                "kind": "Status",
                "status_value": "Success"
            },
            "type": "type.googleapis.com/google.cloud.audit.AuditLog"
        }
    },
    "input": {
        "type": "gcp-pubsub"
    },
    "log": {
        "level": "INFO",
        "logger": "projects/elastic-beats/logs/cloudaudit.googleapis.com%2Fdata_access"
    },
    "service": {
        "name": "compute.googleapis.com"
    },
    "source": {
        "ip": "192.168.1.1"
    },
    "tags": [
        "forwarded",
        "gcp-audit"
    ],
    "user_agent": {
        "device": {
            "name": "Mac"
        },
        "name": "Firefox",
        "original": "Mozilla/5.0 (Macintosh; Intel Mac OS X 10.15; rv:71.0) Gecko/20100101 Firefox/71.0,gzip(gfe),gzip(gfe)",
        "os": {
            "full": "Mac OS X 10.15",
            "name": "Mac OS X",
            "version": "10.15"
        },
        "version": "71.0."
    }
}

Firewall

The firewall dataset collects logs from Firewall Rules in your Virtual Private Cloud (VPC) networks.

Exported fields

FieldDescriptionType
@timestamp
Event timestamp.
date
cloud.account.id
The cloud account or organization id used to identify different entities in a multi-tenant environment. Examples: AWS account id, Google Cloud ORG Id, or other unique identifier.
keyword
cloud.availability_zone
Availability zone in which this host is running.
keyword
cloud.image.id
Image ID for the cloud instance.
keyword
cloud.instance.id
Instance ID of the host machine.
keyword
cloud.instance.name
Instance name of the host machine.
keyword
cloud.machine.type
Machine type of the host machine.
keyword
cloud.project.id
Name of the project in Google Cloud.
keyword
cloud.provider
Name of the cloud provider. Example values are aws, azure, gcp, or digitalocean.
keyword
cloud.region
Region in which this host is running.
keyword
container.id
Unique container id.
keyword
container.image.name
Name of the image the container was built on.
keyword
container.labels
Image labels.
object
container.name
Container name.
keyword
container.runtime
Runtime managing this container.
keyword
data_stream.dataset
Data stream dataset.
constant_keyword
data_stream.namespace
Data stream namespace.
constant_keyword
data_stream.type
Data stream type.
constant_keyword
destination.address
Some event destination addresses are defined ambiguously. The event will sometimes list an IP, a domain or a unix socket. You should always store the raw address in the .address field. Then it should be duplicated to .ip or .domain, depending on which one it is.
keyword
destination.as.number
Unique number allocated to the autonomous system. The autonomous system number (ASN) uniquely identifies each network on the Internet.
long
destination.as.organization.name
Organization name.
keyword
destination.as.organization.name.text
Multi-field of destination.as.organization.name.
match_only_text
destination.domain
The domain name of the destination system. This value may be a host name, a fully qualified domain name, or another host naming format. The value may derive from the original event or be added from enrichment.
keyword
destination.geo.city_name
City name.
keyword
destination.geo.continent_name
Name of the continent.
keyword
destination.geo.country_iso_code
Country ISO code.
keyword
destination.geo.country_name
Country name.
keyword
destination.geo.location
Longitude and latitude.
geo_point
destination.geo.name
User-defined description of a location, at the level of granularity they care about. Could be the name of their data centers, the floor number, if this describes a local physical entity, city names. Not typically used in automated geolocation.
keyword
destination.geo.region_iso_code
Region ISO code.
keyword
destination.geo.region_name
Region name.
keyword
destination.ip
IP address of the destination (IPv4 or IPv6).
ip
destination.port
Port of the destination.
long
ecs.version
ECS version this event conforms to. ecs.version is a required field and must exist in all events. When querying across multiple indices -- which may conform to slightly different ECS versions -- this field lets integrations adjust to the schema version of the events.
keyword
event.action
The action captured by the event. This describes the information in the event. It is more specific than event.category. Examples are group-add, process-started, file-created. The value is normally defined by the implementer.
keyword
event.category
This is one of four ECS Categorization Fields, and indicates the second level in the ECS category hierarchy. event.category represents the "big buckets" of ECS categories. For example, filtering on event.category:process yields all events relating to process activity. This field is closely related to event.type, which is used as a subcategory. This field is an array. This will allow proper categorization of some events that fall in multiple categories.
keyword
event.created
event.created contains the date/time when the event was first read by an agent, or by your pipeline. This field is distinct from @timestamp in that @timestamp typically contain the time extracted from the original event. In most situations, these two timestamps will be slightly different. The difference can be used to calculate the delay between your source generating an event, and the time when your agent first processed it. This can be used to monitor your agent's or pipeline's ability to keep up with your event source. In case the two timestamps are identical, @timestamp should be used.
date
event.dataset
Event dataset
constant_keyword
event.id
Unique ID to describe the event.
keyword
event.ingested
Timestamp when an event arrived in the central data store. This is different from @timestamp, which is when the event originally occurred. It's also different from event.created, which is meant to capture the first time an agent saw the event. In normal conditions, assuming no tampering, the timestamps should chronologically look like this: @timestamp < event.created < event.ingested.
date
event.kind
This is one of four ECS Categorization Fields, and indicates the highest level in the ECS category hierarchy. event.kind gives high-level information about what type of information the event contains, without being specific to the contents of the event. For example, values of this field distinguish alert events from metric events. The value of this field can be used to inform how these kinds of events should be handled. They may warrant different retention, different access control, it may also help understand whether the data coming in at a regular interval or not.
keyword
event.module
Event module
constant_keyword
event.original
Raw text message of entire event. Used to demonstrate log integrity or where the full log message (before splitting it up in multiple parts) may be required, e.g. for reindex. This field is not indexed and doc_values are disabled. It cannot be searched, but it can be retrieved from _source. If users wish to override this and index this field, please see Field data types in the Elasticsearch Reference.
keyword
event.outcome
This is one of four ECS Categorization Fields, and indicates the lowest level in the ECS category hierarchy. event.outcome simply denotes whether the event represents a success or a failure from the perspective of the entity that produced the event. Note that when a single transaction is described in multiple events, each event may populate different values of event.outcome, according to their perspective. Also note that in the case of a compound event (a single event that contains multiple logical events), this field should be populated with the value that best captures the overall success or failure from the perspective of the event producer. Further note that not all events will have an associated outcome. For example, this field is generally not populated for metric events, events with event.type:info, or any events for which an outcome does not make logical sense.
keyword
event.type
This is one of four ECS Categorization Fields, and indicates the third level in the ECS category hierarchy. event.type represents a categorization "sub-bucket" that, when used along with the event.category field values, enables filtering events down to a level appropriate for single visualization. This field is an array. This will allow proper categorization of some events that fall in multiple event types.
keyword
gcp.destination.instance.project_id
ID of the project containing the VM.
keyword
gcp.destination.instance.region
Region of the VM.
keyword
gcp.destination.instance.zone
Zone of the VM.
keyword
gcp.destination.vpc.project_id
ID of the project containing the VM.
keyword
gcp.destination.vpc.subnetwork_name
Subnetwork on which the VM is operating.
keyword
gcp.destination.vpc.vpc_name
VPC on which the VM is operating.
keyword
gcp.firewall.flattened
Contains the full firewall document as sent by GCP.
flattened
gcp.firewall.rule_details.action
Action that the rule performs on match.
keyword
gcp.firewall.rule_details.destination_range
List of destination ranges that the firewall applies to.
keyword
gcp.firewall.rule_details.direction
Direction of traffic that matches this rule.
keyword
gcp.firewall.rule_details.ip_port_info
List of ip protocols and applicable port ranges for rules.
nested
gcp.firewall.rule_details.priority
The priority for the firewall rule.
long
gcp.firewall.rule_details.reference
Reference to the firewall rule.
keyword
gcp.firewall.rule_details.source_range
List of source ranges that the firewall rule applies to.
keyword
gcp.firewall.rule_details.source_service_account
List of all the source service accounts that the firewall rule applies to.
keyword
gcp.firewall.rule_details.source_tag
List of all the source tags that the firewall rule applies to.
keyword
gcp.firewall.rule_details.target_service_account
List of all the target service accounts that the firewall rule applies to.
keyword
gcp.firewall.rule_details.target_tag
List of all the target tags that the firewall rule applies to.
keyword
gcp.source.instance.project_id
ID of the project containing the VM.
keyword
gcp.source.instance.region
Region of the VM.
keyword
gcp.source.instance.zone
Zone of the VM.
keyword
gcp.source.vpc.project_id
ID of the project containing the VM.
keyword
gcp.source.vpc.subnetwork_name
Subnetwork on which the VM is operating.
keyword
gcp.source.vpc.vpc_name
VPC on which the VM is operating.
keyword
host.architecture
Operating system architecture.
keyword
host.containerized
If the host is a container.
boolean
host.domain
Name of the domain of which the host is a member. For example, on Windows this could be the host's Active Directory domain or NetBIOS domain name. For Linux this could be the domain of the host's LDAP provider.
keyword
host.hostname
Hostname of the host. It normally contains what the hostname command returns on the host machine.
keyword
host.id
Unique host id. As hostname is not always unique, use values that are meaningful in your environment. Example: The current usage of beat.name.
keyword
host.ip
Host ip addresses.
ip
host.mac
Host mac addresses.
keyword
host.name
Name of the host. It can contain what hostname returns on Unix systems, the fully qualified domain name, or a name specified by the user. The sender decides which value to use.
keyword
host.os.build
OS build information.
keyword
host.os.codename
OS codename, if any.
keyword
host.os.family
OS family (such as redhat, debian, freebsd, windows).
keyword
host.os.kernel
Operating system kernel version as a raw string.
keyword
host.os.name
Operating system name, without the version.
keyword
host.os.name.text
Multi-field of host.os.name.
text
host.os.platform
Operating system platform (such centos, ubuntu, windows).
keyword
host.os.version
Operating system version as a raw string.
keyword
host.type
Type of host. For Cloud providers this can be the machine type like t2.medium. If vm, this could be the container, for example, or other information meaningful in your environment.
keyword
input.type
Input type
keyword
log.file.path
Full path to the log file this event came from, including the file name. It should include the drive letter, when appropriate. If the event wasn't read from a log file, do not populate this field.
keyword
log.logger
The name of the logger inside an application. This is usually the name of the class which initialized the logger, or can be a custom name.
keyword
log.offset
Log offset
long
message
For log events the message field contains the log message, optimized for viewing in a log viewer. For structured logs without an original message field, other fields can be concatenated to form a human-readable summary of the event. If multiple messages exist, they can be combined into one message.
match_only_text
network.community_id
A hash of source and destination IPs and ports, as well as the protocol used in a communication. This is a tool-agnostic standard to identify flows. Learn more at https://github.com/corelight/community-id-spec.
keyword
network.direction
Direction of the network traffic. When mapping events from a host-based monitoring context, populate this field from the host's point of view, using the values "ingress" or "egress". When mapping events from a network or perimeter-based monitoring context, populate this field from the point of view of the network perimeter, using the values "inbound", "outbound", "internal" or "external". Note that "internal" is not crossing perimeter boundaries, and is meant to describe communication between two hosts within the perimeter. Note also that "external" is meant to describe traffic between two hosts that are external to the perimeter. This could for example be useful for ISPs or VPN service providers.
keyword
network.iana_number
IANA Protocol Number (https://www.iana.org/assignments/protocol-numbers/protocol-numbers.xhtml). Standardized list of protocols. This aligns well with NetFlow and sFlow related logs which use the IANA Protocol Number.
keyword
network.name
Name given by operators to sections of their network.
keyword
network.transport
Same as network.iana_number, but instead using the Keyword name of the transport layer (udp, tcp, ipv6-icmp, etc.) The field value must be normalized to lowercase for querying.
keyword
network.type
In the OSI Model this would be the Network Layer. ipv4, ipv6, ipsec, pim, etc The field value must be normalized to lowercase for querying.
keyword
related.hash
All the hashes seen on your event. Populating this field, then using it to search for hashes can help in situations where you're unsure what the hash algorithm is (and therefore which key name to search).
keyword
related.hosts
All hostnames or other host identifiers seen on your event. Example identifiers include FQDNs, domain names, workstation names, or aliases.
keyword
related.ip
All of the IPs seen on your event.
ip
related.user
All the user names or other user identifiers seen on the event.
keyword
rule.name
The name of the rule or signature generating the event.
keyword
source.address
Some event source addresses are defined ambiguously. The event will sometimes list an IP, a domain or a unix socket. You should always store the raw address in the .address field. Then it should be duplicated to .ip or .domain, depending on which one it is.
keyword
source.as.number
Unique number allocated to the autonomous system. The autonomous system number (ASN) uniquely identifies each network on the Internet.
long
source.as.organization.name
Organization name.
keyword
source.as.organization.name.text
Multi-field of source.as.organization.name.
match_only_text
source.domain
The domain name of the source system. This value may be a host name, a fully qualified domain name, or another host naming format. The value may derive from the original event or be added from enrichment.
keyword
source.geo.city_name
City name.
keyword
source.geo.continent_name
Name of the continent.
keyword
source.geo.country_iso_code
Country ISO code.
keyword
source.geo.country_name
Country name.
keyword
source.geo.location
Longitude and latitude.
geo_point
source.geo.name
User-defined description of a location, at the level of granularity they care about. Could be the name of their data centers, the floor number, if this describes a local physical entity, city names. Not typically used in automated geolocation.
keyword
source.geo.region_iso_code
Region ISO code.
keyword
source.geo.region_name
Region name.
keyword
source.ip
IP address of the source (IPv4 or IPv6).
ip
source.port
Port of the source.
long
tags
List of keywords used to tag each event.
keyword

An example event for firewall looks as following:

{
    "@timestamp": "2019-10-30T13:52:42.191Z",
    "agent": {
        "ephemeral_id": "175ae0b3-355c-4ca7-87ea-d5f1ee34102e",
        "id": "c6b95057-2f5d-4b8f-b4b5-37cbdb995dec",
        "name": "docker-fleet-agent",
        "type": "filebeat",
        "version": "8.7.1"
    },
    "cloud": {
        "availability_zone": "us-east1-b",
        "project": {
            "id": "test-beats"
        },
        "provider": "gcp",
        "region": "us-east1"
    },
    "data_stream": {
        "dataset": "gcp.firewall",
        "namespace": "ep",
        "type": "logs"
    },
    "destination": {
        "address": "10.42.0.2",
        "domain": "test-windows",
        "ip": "10.42.0.2",
        "port": 3389
    },
    "ecs": {
        "version": "8.8.0"
    },
    "elastic_agent": {
        "id": "c6b95057-2f5d-4b8f-b4b5-37cbdb995dec",
        "snapshot": false,
        "version": "8.7.1"
    },
    "event": {
        "action": "firewall-rule",
        "agent_id_status": "verified",
        "category": [
            "network"
        ],
        "created": "2023-10-25T04:20:37.182Z",
        "dataset": "gcp.firewall",
        "id": "1f21ciqfpfssuo",
        "ingested": "2023-10-25T04:20:41Z",
        "kind": "event",
        "type": [
            "allowed",
            "connection"
        ]
    },
    "gcp": {
        "destination": {
            "instance": {
                "project_id": "test-beats",
                "region": "us-east1",
                "zone": "us-east1-b"
            },
            "vpc": {
                "project_id": "test-beats",
                "subnetwork_name": "windows-isolated",
                "vpc_name": "windows-isolated"
            }
        },
        "firewall": {
            "rule_details": {
                "action": "ALLOW",
                "direction": "INGRESS",
                "ip_port_info": [
                    {
                        "ip_protocol": "TCP",
                        "port_range": [
                            "3389"
                        ]
                    }
                ],
                "priority": 1000,
                "source_range": [
                    "0.0.0.0/0"
                ],
                "target_tag": [
                    "allow-rdp"
                ]
            }
        }
    },
    "input": {
        "type": "gcp-pubsub"
    },
    "log": {
        "logger": "projects/test-beats/logs/compute.googleapis.com%2Ffirewall"
    },
    "network": {
        "community_id": "1:OdLB9eXsBDLz8m97ao4LepX6q+4=",
        "direction": "inbound",
        "iana_number": "6",
        "name": "windows-isolated",
        "transport": "tcp",
        "type": "ipv4"
    },
    "related": {
        "ip": [
            "192.168.2.126",
            "10.42.0.2"
        ]
    },
    "rule": {
        "name": "network:windows-isolated/firewall:windows-isolated-allow-rdp"
    },
    "source": {
        "address": "192.168.2.126",
        "geo": {
            "continent_name": "Asia",
            "country_name": "omn"
        },
        "ip": "192.168.2.126",
        "port": 64853
    },
    "tags": [
        "forwarded",
        "gcp-firewall"
    ]
}

VPC Flow

The vpcflow dataset collects logs sent from and received by VM instances, including instances used as GKE nodes.

Exported fields

FieldDescriptionType
@timestamp
Event timestamp.
date
cloud.account.id
The cloud account or organization id used to identify different entities in a multi-tenant environment. Examples: AWS account id, Google Cloud ORG Id, or other unique identifier.
keyword
cloud.availability_zone
Availability zone in which this host is running.
keyword
cloud.image.id
Image ID for the cloud instance.
keyword
cloud.instance.id
Instance ID of the host machine.
keyword
cloud.instance.name
Instance name of the host machine.
keyword
cloud.machine.type
Machine type of the host machine.
keyword
cloud.project.id
Name of the project in Google Cloud.
keyword
cloud.provider
Name of the cloud provider. Example values are aws, azure, gcp, or digitalocean.
keyword
cloud.region
Region in which this host is running.
keyword
container.id
Unique container id.
keyword
container.image.name
Name of the image the container was built on.
keyword
container.labels
Image labels.
object
container.name
Container name.
keyword
container.runtime
Runtime managing this container.
keyword
data_stream.dataset
Data stream dataset.
constant_keyword
data_stream.namespace
Data stream namespace.
constant_keyword
data_stream.type
Data stream type.
constant_keyword
destination.address
Some event destination addresses are defined ambiguously. The event will sometimes list an IP, a domain or a unix socket. You should always store the raw address in the .address field. Then it should be duplicated to .ip or .domain, depending on which one it is.
keyword
destination.as.number
Unique number allocated to the autonomous system. The autonomous system number (ASN) uniquely identifies each network on the Internet.
long
destination.as.organization.name
Organization name.
keyword
destination.as.organization.name.text
Multi-field of destination.as.organization.name.
match_only_text
destination.domain
The domain name of the destination system. This value may be a host name, a fully qualified domain name, or another host naming format. The value may derive from the original event or be added from enrichment.
keyword
destination.geo.city_name
City name.
keyword
destination.geo.continent_name
Name of the continent.
keyword
destination.geo.country_iso_code
Country ISO code.
keyword
destination.geo.country_name
Country name.
keyword
destination.geo.location
Longitude and latitude.
geo_point
destination.geo.name
User-defined description of a location, at the level of granularity they care about. Could be the name of their data centers, the floor number, if this describes a local physical entity, city names. Not typically used in automated geolocation.
keyword
destination.geo.region_iso_code
Region ISO code.
keyword
destination.geo.region_name
Region name.
keyword
destination.ip
IP address of the destination (IPv4 or IPv6).
ip
destination.port
Port of the destination.
long
ecs.version
ECS version this event conforms to. ecs.version is a required field and must exist in all events. When querying across multiple indices -- which may conform to slightly different ECS versions -- this field lets integrations adjust to the schema version of the events.
keyword
event.action
The action captured by the event. This describes the information in the event. It is more specific than event.category. Examples are group-add, process-started, file-created. The value is normally defined by the implementer.
keyword
event.category
This is one of four ECS Categorization Fields, and indicates the second level in the ECS category hierarchy. event.category represents the "big buckets" of ECS categories. For example, filtering on event.category:process yields all events relating to process activity. This field is closely related to event.type, which is used as a subcategory. This field is an array. This will allow proper categorization of some events that fall in multiple categories.
keyword
event.created
event.created contains the date/time when the event was first read by an agent, or by your pipeline. This field is distinct from @timestamp in that @timestamp typically contain the time extracted from the original event. In most situations, these two timestamps will be slightly different. The difference can be used to calculate the delay between your source generating an event, and the time when your agent first processed it. This can be used to monitor your agent's or pipeline's ability to keep up with your event source. In case the two timestamps are identical, @timestamp should be used.
date
event.dataset
Event dataset
constant_keyword
event.end
event.end contains the date when the event ended or when the activity was last observed.
date
event.id
Unique ID to describe the event.
keyword
event.ingested
Timestamp when an event arrived in the central data store. This is different from @timestamp, which is when the event originally occurred. It's also different from event.created, which is meant to capture the first time an agent saw the event. In normal conditions, assuming no tampering, the timestamps should chronologically look like this: @timestamp < event.created < event.ingested.
date
event.kind
This is one of four ECS Categorization Fields, and indicates the highest level in the ECS category hierarchy. event.kind gives high-level information about what type of information the event contains, without being specific to the contents of the event. For example, values of this field distinguish alert events from metric events. The value of this field can be used to inform how these kinds of events should be handled. They may warrant different retention, different access control, it may also help understand whether the data coming in at a regular interval or not.
keyword
event.module
Event module
constant_keyword
event.original
Raw text message of entire event. Used to demonstrate log integrity or where the full log message (before splitting it up in multiple parts) may be required, e.g. for reindex. This field is not indexed and doc_values are disabled. It cannot be searched, but it can be retrieved from _source. If users wish to override this and index this field, please see Field data types in the Elasticsearch Reference.
keyword
event.outcome
This is one of four ECS Categorization Fields, and indicates the lowest level in the ECS category hierarchy. event.outcome simply denotes whether the event represents a success or a failure from the perspective of the entity that produced the event. Note that when a single transaction is described in multiple events, each event may populate different values of event.outcome, according to their perspective. Also note that in the case of a compound event (a single event that contains multiple logical events), this field should be populated with the value that best captures the overall success or failure from the perspective of the event producer. Further note that not all events will have an associated outcome. For example, this field is generally not populated for metric events, events with event.type:info, or any events for which an outcome does not make logical sense.
keyword
event.start
event.start contains the date when the event started or when the activity was first observed.
date
event.type
This is one of four ECS Categorization Fields, and indicates the third level in the ECS category hierarchy. event.type represents a categorization "sub-bucket" that, when used along with the event.category field values, enables filtering events down to a level appropriate for single visualization. This field is an array. This will allow proper categorization of some events that fall in multiple event types.
keyword
gcp.destination.instance.project_id
ID of the project containing the VM.
keyword
gcp.destination.instance.region
Region of the VM.
keyword
gcp.destination.instance.zone
Zone of the VM.
keyword
gcp.destination.vpc.project_id
ID of the project containing the VM.
keyword
gcp.destination.vpc.subnetwork_name
Subnetwork on which the VM is operating.
keyword
gcp.destination.vpc.vpc_name
VPC on which the VM is operating.
keyword
gcp.source.instance.project_id
ID of the project containing the VM.
keyword
gcp.source.instance.region
Region of the VM.
keyword
gcp.source.instance.zone
Zone of the VM.
keyword
gcp.source.vpc.project_id
ID of the project containing the VM.
keyword
gcp.source.vpc.subnetwork_name
Subnetwork on which the VM is operating.
keyword
gcp.source.vpc.vpc_name
VPC on which the VM is operating.
keyword
gcp.vpcflow.flattened
Contains the full vpcflow document as sent by GCP.
flattened
gcp.vpcflow.reporter
The side which reported the flow. Can be either 'SRC' or 'DEST'.
keyword
gcp.vpcflow.rtt.ms
Latency as measured (for TCP flows only) during the time interval. This is the time elapsed between sending a SEQ and receiving a corresponding ACK and it contains the network RTT as well as the application related delay.
long
host.architecture
Operating system architecture.
keyword
host.containerized
If the host is a container.
boolean
host.domain
Name of the domain of which the host is a member. For example, on Windows this could be the host's Active Directory domain or NetBIOS domain name. For Linux this could be the domain of the host's LDAP provider.
keyword
host.hostname
Hostname of the host. It normally contains what the hostname command returns on the host machine.
keyword
host.id
Unique host id. As hostname is not always unique, use values that are meaningful in your environment. Example: The current usage of beat.name.
keyword
host.ip
Host ip addresses.
ip
host.mac
Host mac addresses.
keyword
host.name
Name of the host. It can contain what hostname returns on Unix systems, the fully qualified domain name, or a name specified by the user. The sender decides which value to use.
keyword
host.os.build
OS build information.
keyword
host.os.codename
OS codename, if any.
keyword
host.os.family
OS family (such as redhat, debian, freebsd, windows).
keyword
host.os.kernel
Operating system kernel version as a raw string.
keyword
host.os.name
Operating system name, without the version.
keyword
host.os.name.text
Multi-field of host.os.name.
text
host.os.platform
Operating system platform (such centos, ubuntu, windows).
keyword
host.os.version
Operating system version as a raw string.
keyword
host.type
Type of host. For Cloud providers this can be the machine type like t2.medium. If vm, this could be the container, for example, or other information meaningful in your environment.
keyword
input.type
Input type
keyword
log.file.path
Full path to the log file this event came from, including the file name. It should include the drive letter, when appropriate. If the event wasn't read from a log file, do not populate this field.
keyword
log.logger
The name of the logger inside an application. This is usually the name of the class which initialized the logger, or can be a custom name.
keyword
log.offset
Log offset
long
message
For log events the message field contains the log message, optimized for viewing in a log viewer. For structured logs without an original message field, other fields can be concatenated to form a human-readable summary of the event. If multiple messages exist, they can be combined into one message.
match_only_text
network.bytes
Total bytes transferred in both directions. If source.bytes and destination.bytes are known, network.bytes is their sum.
long
network.community_id
A hash of source and destination IPs and ports, as well as the protocol used in a communication. This is a tool-agnostic standard to identify flows. Learn more at https://github.com/corelight/community-id-spec.
keyword
network.direction
Direction of the network traffic. When mapping events from a host-based monitoring context, populate this field from the host's point of view, using the values "ingress" or "egress". When mapping events from a network or perimeter-based monitoring context, populate this field from the point of view of the network perimeter, using the values "inbound", "outbound", "internal" or "external". Note that "internal" is not crossing perimeter boundaries, and is meant to describe communication between two hosts within the perimeter. Note also that "external" is meant to describe traffic between two hosts that are external to the perimeter. This could for example be useful for ISPs or VPN service providers.
keyword
network.iana_number
IANA Protocol Number (https://www.iana.org/assignments/protocol-numbers/protocol-numbers.xhtml). Standardized list of protocols. This aligns well with NetFlow and sFlow related logs which use the IANA Protocol Number.
keyword
network.name
Name given by operators to sections of their network.
keyword
network.packets
Total packets transferred in both directions. If source.packets and destination.packets are known, network.packets is their sum.
long
network.transport
Same as network.iana_number, but instead using the Keyword name of the transport layer (udp, tcp, ipv6-icmp, etc.) The field value must be normalized to lowercase for querying.
keyword
network.type
In the OSI Model this would be the Network Layer. ipv4, ipv6, ipsec, pim, etc The field value must be normalized to lowercase for querying.
keyword
related.hash
All the hashes seen on your event. Populating this field, then using it to search for hashes can help in situations where you're unsure what the hash algorithm is (and therefore which key name to search).
keyword
related.hosts
All hostnames or other host identifiers seen on your event. Example identifiers include FQDNs, domain names, workstation names, or aliases.
keyword
related.ip
All of the IPs seen on your event.
ip
related.user
All the user names or other user identifiers seen on the event.
keyword
rule.name
The name of the rule or signature generating the event.
keyword
source.address
Some event source addresses are defined ambiguously. The event will sometimes list an IP, a domain or a unix socket. You should always store the raw address in the .address field. Then it should be duplicated to .ip or .domain, depending on which one it is.
keyword
source.as.number
Unique number allocated to the autonomous system. The autonomous system number (ASN) uniquely identifies each network on the Internet.
long
source.as.organization.name
Organization name.
keyword
source.as.organization.name.text
Multi-field of source.as.organization.name.
match_only_text
source.bytes
Bytes sent from the source to the destination.
long
source.domain
The domain name of the source system. This value may be a host name, a fully qualified domain name, or another host naming format. The value may derive from the original event or be added from enrichment.
keyword
source.geo.city_name
City name.
keyword
source.geo.continent_name
Name of the continent.
keyword
source.geo.country_iso_code
Country ISO code.
keyword
source.geo.country_name
Country name.
keyword
source.geo.location
Longitude and latitude.
geo_point
source.geo.name
User-defined description of a location, at the level of granularity they care about. Could be the name of their data centers, the floor number, if this describes a local physical entity, city names. Not typically used in automated geolocation.
keyword
source.geo.region_iso_code
Region ISO code.
keyword
source.geo.region_name
Region name.
keyword
source.ip
IP address of the source (IPv4 or IPv6).
ip
source.packets
Packets sent from the source to the destination.
long
source.port
Port of the source.
long
tags
List of keywords used to tag each event.
keyword

An example event for vpcflow looks as following:

{
    "@timestamp": "2019-06-14T03:50:10.845Z",
    "agent": {
        "ephemeral_id": "0b8165a2-0e25-4e9a-bb68-271697e0993f",
        "id": "c6b95057-2f5d-4b8f-b4b5-37cbdb995dec",
        "name": "docker-fleet-agent",
        "type": "filebeat",
        "version": "8.7.1"
    },
    "cloud": {
        "availability_zone": "us-east1-b",
        "instance": {
            "name": "kibana"
        },
        "project": {
            "id": "my-sample-project"
        },
        "provider": "gcp",
        "region": "us-east1"
    },
    "data_stream": {
        "dataset": "gcp.vpcflow",
        "namespace": "ep",
        "type": "logs"
    },
    "destination": {
        "address": "10.139.99.242",
        "domain": "elasticsearch",
        "ip": "10.139.99.242",
        "port": 9200
    },
    "ecs": {
        "version": "8.8.0"
    },
    "elastic_agent": {
        "id": "c6b95057-2f5d-4b8f-b4b5-37cbdb995dec",
        "snapshot": false,
        "version": "8.7.1"
    },
    "event": {
        "agent_id_status": "verified",
        "category": [
            "network"
        ],
        "created": "2023-10-25T04:21:42.006Z",
        "dataset": "gcp.vpcflow",
        "end": "2019-06-14T03:49:51.821056075Z",
        "id": "ut8lbrffooxz5",
        "ingested": "2023-10-25T04:21:43Z",
        "kind": "event",
        "start": "2019-06-14T03:40:20.510622432Z",
        "type": [
            "connection"
        ]
    },
    "gcp": {
        "destination": {
            "instance": {
                "project_id": "my-sample-project",
                "region": "us-east1",
                "zone": "us-east1-b"
            },
            "vpc": {
                "project_id": "my-sample-project",
                "subnetwork_name": "default",
                "vpc_name": "default"
            }
        },
        "source": {
            "instance": {
                "project_id": "my-sample-project",
                "region": "us-east1",
                "zone": "us-east1-b"
            },
            "vpc": {
                "project_id": "my-sample-project",
                "subnetwork_name": "default",
                "vpc_name": "default"
            }
        },
        "vpcflow": {
            "reporter": "DEST",
            "rtt": {
                "ms": 201
            }
        }
    },
    "input": {
        "type": "gcp-pubsub"
    },
    "log": {
        "logger": "projects/my-sample-project/logs/compute.googleapis.com%2Fvpc_flows"
    },
    "network": {
        "bytes": 11773,
        "community_id": "1:FYaJFSEAKLcBCMFoT6sR5TMHf/s=",
        "direction": "internal",
        "iana_number": "6",
        "name": "default",
        "packets": 94,
        "transport": "tcp",
        "type": "ipv4"
    },
    "related": {
        "ip": [
            "67.43.156.13",
            "10.139.99.242"
        ]
    },
    "source": {
        "address": "67.43.156.13",
        "as": {
            "number": 35908
        },
        "bytes": 11773,
        "domain": "kibana",
        "geo": {
            "continent_name": "Asia",
            "country_iso_code": "BT",
            "country_name": "Bhutan",
            "location": {
                "lat": 27.5,
                "lon": 90.5
            }
        },
        "ip": "67.43.156.13",
        "packets": 94,
        "port": 33576
    },
    "tags": [
        "forwarded",
        "gcp-vpcflow"
    ]
}

DNS

The dns dataset collects queries that name servers resolve for your Virtual Private Cloud (VPC) networks, as well as queries from an external entity directly to a public zone.

Exported fields

FieldDescriptionType
@timestamp
Event timestamp.
date
cloud.account.id
The cloud account or organization id used to identify different entities in a multi-tenant environment. Examples: AWS account id, Google Cloud ORG Id, or other unique identifier.
keyword
cloud.availability_zone
Availability zone in which this host is running.
keyword
cloud.image.id
Image ID for the cloud instance.
keyword
cloud.instance.id
Instance ID of the host machine.
keyword
cloud.instance.name
Instance name of the host machine.
keyword
cloud.machine.type
Machine type of the host machine.
keyword
cloud.project.id
Name of the project in Google Cloud.
keyword
cloud.provider
Name of the cloud provider. Example values are aws, azure, gcp, or digitalocean.
keyword
cloud.region
Region in which this host is running.
keyword
container.id
Unique container id.
keyword
container.image.name
Name of the image the container was built on.
keyword
container.labels
Image labels.
object
container.name
Container name.
keyword
data_stream.dataset
Data stream dataset.
constant_keyword
data_stream.namespace
Data stream namespace.
constant_keyword
data_stream.type
Data stream type.
constant_keyword
destination.address
Some event destination addresses are defined ambiguously. The event will sometimes list an IP, a domain or a unix socket. You should always store the raw address in the .address field. Then it should be duplicated to .ip or .domain, depending on which one it is.
keyword
destination.ip
IP address of the destination (IPv4 or IPv6).
ip
dns.answers
An array containing an object for each answer section returned by the server. The main keys that should be present in these objects are defined by ECS. Records that have more information may contain more keys than what ECS defines. Not all DNS data sources give all details about DNS answers. At minimum, answer objects must contain the data key. If more information is available, map as much of it to ECS as possible, and add any additional fields to the answer objects as custom fields.
group
dns.answers.class
The class of DNS data contained in this resource record.
keyword
dns.answers.data
The data describing the resource. The meaning of this data depends on the type and class of the resource record.
keyword
dns.answers.name
The domain name to which this resource record pertains. If a chain of CNAME is being resolved, each answer's name should be the one that corresponds with the answer's data. It should not simply be the original question.name repeated.
keyword
dns.answers.ttl
The time interval in seconds that this resource record may be cached before it should be discarded. Zero values mean that the data should not be cached.
long
dns.answers.type
The type of data contained in this resource record.
keyword
dns.question.name
The name being queried. If the name field contains non-printable characters (below 32 or above 126), those characters should be represented as escaped base 10 integers (\DDD). Back slashes and quotes should be escaped. Tabs, carriage returns, and line feeds should be converted to \t, \r, and \n respectively.
keyword
dns.question.registered_domain
The highest registered domain, stripped of the subdomain. For example, the registered domain for "foo.example.com" is "example.com". This value can be determined precisely with a list like the public suffix list (http://publicsuffix.org). Trying to approximate this by simply taking the last two labels will not work well for TLDs such as "co.uk".
keyword
dns.question.subdomain
The subdomain is all of the labels under the registered_domain. If the domain has multiple levels of subdomain, such as "sub2.sub1.example.com", the subdomain field should contain "sub2.sub1", with no trailing period.
keyword
dns.question.top_level_domain
The effective top level domain (eTLD), also known as the domain suffix, is the last part of the domain name. For example, the top level domain for example.com is "com". This value can be determined precisely with a list like the public suffix list (http://publicsuffix.org). Trying to approximate this by simply taking the last label will not work well for effective TLDs such as "co.uk".
keyword
dns.question.type
The type of record being queried.
keyword
dns.resolved_ip
Array containing all IPs seen in answers.data. The answers array can be difficult to use, because of the variety of data formats it can contain. Extracting all IP addresses seen in there to dns.resolved_ip makes it possible to index them as IP addresses, and makes them easier to visualize and query for.
ip
dns.response_code
The DNS response code.
keyword
ecs.version
ECS version this event conforms to. ecs.version is a required field and must exist in all events. When querying across multiple indices -- which may conform to slightly different ECS versions -- this field lets integrations adjust to the schema version of the events.
keyword
event.created
event.created contains the date/time when the event was first read by an agent, or by your pipeline. This field is distinct from @timestamp in that @timestamp typically contain the time extracted from the original event. In most situations, these two timestamps will be slightly different. The difference can be used to calculate the delay between your source generating an event, and the time when your agent first processed it. This can be used to monitor your agent's or pipeline's ability to keep up with your event source. In case the two timestamps are identical, @timestamp should be used.
date
event.dataset
Event dataset
constant_keyword
event.id
Unique ID to describe the event.
keyword
event.ingested
Timestamp when an event arrived in the central data store. This is different from @timestamp, which is when the event originally occurred. It's also different from event.created, which is meant to capture the first time an agent saw the event. In normal conditions, assuming no tampering, the timestamps should chronologically look like this: @timestamp < event.created < event.ingested.
date
event.kind
This is one of four ECS Categorization Fields, and indicates the highest level in the ECS category hierarchy. event.kind gives high-level information about what type of information the event contains, without being specific to the contents of the event. For example, values of this field distinguish alert events from metric events. The value of this field can be used to inform how these kinds of events should be handled. They may warrant different retention, different access control, it may also help understand whether the data coming in at a regular interval or not.
keyword
event.module
Event module
constant_keyword
event.original
Raw text message of entire event. Used to demonstrate log integrity or where the full log message (before splitting it up in multiple parts) may be required, e.g. for reindex. This field is not indexed and doc_values are disabled. It cannot be searched, but it can be retrieved from _source. If users wish to override this and index this field, please see Field data types in the Elasticsearch Reference.
keyword
event.outcome
This is one of four ECS Categorization Fields, and indicates the lowest level in the ECS category hierarchy. event.outcome simply denotes whether the event represents a success or a failure from the perspective of the entity that produced the event. Note that when a single transaction is described in multiple events, each event may populate different values of event.outcome, according to their perspective. Also note that in the case of a compound event (a single event that contains multiple logical events), this field should be populated with the value that best captures the overall success or failure from the perspective of the event producer. Further note that not all events will have an associated outcome. For example, this field is generally not populated for metric events, events with event.type:info, or any events for which an outcome does not make logical sense.
keyword
gcp.dns.auth_answer
Authoritative answer.
boolean
gcp.dns.destination_ip
Destination IP address, only applicable for forwarding cases.
ip
gcp.dns.egress_error
Egress proxy error.
keyword
gcp.dns.flattened
Contains the full dns document as sent by GCP.
flattened
gcp.dns.protocol
Protocol TCP or UDP.
keyword
gcp.dns.query_name
DNS query name.
keyword
gcp.dns.query_type
DNS query type.
keyword
gcp.dns.rdata
DNS answer in presentation format, truncated to 260 bytes.
keyword
gcp.dns.response_code
Response code.
keyword
gcp.dns.server_latency
Server latency.
integer
gcp.dns.source_ip
Source IP address of the query.
ip
gcp.dns.source_network
Source network of the query.
keyword
gcp.dns.source_type
Type of source generating the DNS query: private-zone, public-zone, forwarding-zone, forwarding-policy, peering-zone, internal, external, internet
keyword
gcp.dns.target_type
Type of target resolving the DNS query: private-zone, public-zone, forwarding-zone, forwarding-policy, peering-zone, internal, external, internet
keyword
gcp.dns.vm_instance_id
Compute Engine VM instance ID, only applicable to queries initiated by Compute Engine VMs.
keyword
gcp.dns.vm_instance_name
Compute Engine VM instance name, only applicable to queries initiated by Compute Engine VMs.
keyword
gcp.dns.vm_project_id
Google Cloud project ID, only applicable to queries initiated by Compute Engine VMs.
keyword
gcp.dns.vm_zone_name
Google Cloud VM zone, only applicable to queries initiated by Compute Engine VMs.
keyword
host.architecture
Operating system architecture.
keyword
host.containerized
If the host is a container.
boolean
host.domain
Name of the domain of which the host is a member. For example, on Windows this could be the host's Active Directory domain or NetBIOS domain name. For Linux this could be the domain of the host's LDAP provider.
keyword
host.hostname
Hostname of the host. It normally contains what the hostname command returns on the host machine.
keyword
host.id
Unique host id. As hostname is not always unique, use values that are meaningful in your environment. Example: The current usage of beat.name.
keyword
host.ip
Host ip addresses.
ip
host.mac
Host mac addresses.
keyword
host.name
Name of the host. It can contain what hostname returns on Unix systems, the fully qualified domain name, or a name specified by the user. The sender decides which value to use.
keyword
host.os.build
OS build information.
keyword
host.os.codename
OS codename, if any.
keyword
host.os.family
OS family (such as redhat, debian, freebsd, windows).
keyword
host.os.kernel
Operating system kernel version as a raw string.
keyword
host.os.name
Operating system name, without the version.
keyword
host.os.name.text
Multi-field of host.os.name.
text
host.os.platform
Operating system platform (such centos, ubuntu, windows).
keyword
host.os.version
Operating system version as a raw string.
keyword
host.type
Type of host. For Cloud providers this can be the machine type like t2.medium. If vm, this could be the container, for example, or other information meaningful in your environment.
keyword
input.type
Input type
keyword
log.level
Original log level of the log event. If the source of the event provides a log level or textual severity, this is the one that goes in log.level. If your source doesn't specify one, you may put your event transport's severity here (e.g. Syslog severity). Some examples are warn, err, i, informational.
keyword
log.logger
The name of the logger inside an application. This is usually the name of the class which initialized the logger, or can be a custom name.
keyword
log.offset
Log offset
long
network.iana_number
IANA Protocol Number (https://www.iana.org/assignments/protocol-numbers/protocol-numbers.xhtml). Standardized list of protocols. This aligns well with NetFlow and sFlow related logs which use the IANA Protocol Number.
keyword
network.protocol
In the OSI Model this would be the Application Layer protocol. For example, http, dns, or ssh. The field value must be normalized to lowercase for querying.
keyword
network.transport
Same as network.iana_number, but instead using the Keyword name of the transport layer (udp, tcp, ipv6-icmp, etc.) The field value must be normalized to lowercase for querying.
keyword
related.hosts
All hostnames or other host identifiers seen on your event. Example identifiers include FQDNs, domain names, workstation names, or aliases.
keyword
related.ip
All of the IPs seen on your event.
ip
source.address
Some event source addresses are defined ambiguously. The event will sometimes list an IP, a domain or a unix socket. You should always store the raw address in the .address field. Then it should be duplicated to .ip or .domain, depending on which one it is.
keyword
source.ip
IP address of the source (IPv4 or IPv6).
ip
tags
List of keywords used to tag each event.
keyword

An example event for dns looks as following:

{
    "@timestamp": "2021-12-12T15:59:40.446Z",
    "agent": {
        "ephemeral_id": "fd6c4189-cbc6-493a-acfb-c9e7b2b7588c",
        "id": "c6b95057-2f5d-4b8f-b4b5-37cbdb995dec",
        "name": "docker-fleet-agent",
        "type": "filebeat",
        "version": "8.7.1"
    },
    "cloud": {
        "project": {
            "id": "key-reference-123456"
        },
        "provider": "gcp",
        "region": "global"
    },
    "data_stream": {
        "dataset": "gcp.dns",
        "namespace": "ep",
        "type": "logs"
    },
    "destination": {
        "address": "216.239.32.106",
        "ip": "216.239.32.106"
    },
    "dns": {
        "answers": [
            {
                "class": "IN",
                "data": "67.43.156.13",
                "name": "asdf.gcp.example.com.",
                "ttl": 300,
                "type": "A"
            }
        ],
        "question": {
            "name": "asdf.gcp.example.com",
            "registered_domain": "example.com",
            "subdomain": "asdf.gcp",
            "top_level_domain": "com",
            "type": "A"
        },
        "resolved_ip": [
            "67.43.156.13"
        ],
        "response_code": "NOERROR"
    },
    "ecs": {
        "version": "8.8.0"
    },
    "elastic_agent": {
        "id": "c6b95057-2f5d-4b8f-b4b5-37cbdb995dec",
        "snapshot": false,
        "version": "8.7.1"
    },
    "event": {
        "action": "dns-query",
        "agent_id_status": "verified",
        "category": "network",
        "created": "2023-10-25T04:19:40.300Z",
        "dataset": "gcp.dns",
        "id": "zir4wud11tm",
        "ingested": "2023-10-25T04:19:41Z",
        "kind": "event",
        "outcome": "success"
    },
    "gcp": {
        "dns": {
            "auth_answer": true,
            "destination_ip": "216.239.32.106",
            "protocol": "UDP",
            "query_name": "asdf.gcp.example.com.",
            "query_type": "A",
            "response_code": "NOERROR",
            "server_latency": 0,
            "source_type": "internet",
            "target_type": "public-zone"
        }
    },
    "input": {
        "type": "gcp-pubsub"
    },
    "log": {
        "level": "INFO",
        "logger": "projects/key-reference-123456/logs/dns.googleapis.com%2Fdns_queries"
    },
    "network": {
        "iana_number": "17",
        "protocol": "dns",
        "transport": "udp"
    },
    "related": {
        "hosts": [
            "asdf.gcp.example.com"
        ],
        "ip": [
            "67.43.156.13",
            "216.239.32.106"
        ]
    },
    "tags": [
        "forwarded",
        "gcp-dns"
    ]
}

Loadbalancing Logs

The loadbalancing_logs dataset collects logs of the requests sent to and handled by GCP Load Balancers.

Exported fields

FieldDescriptionType
@timestamp
Event timestamp.
date
cloud.account.id
The cloud account or organization id used to identify different entities in a multi-tenant environment. Examples: AWS account id, Google Cloud ORG Id, or other unique identifier.
keyword
cloud.availability_zone
Availability zone in which this host is running.
keyword
cloud.image.id
Image ID for the cloud instance.
keyword
cloud.instance.id
Instance ID of the host machine.
keyword
cloud.instance.name
Instance name of the host machine.
keyword
cloud.machine.type
Machine type of the host machine.
keyword
cloud.project.id
Name of the project in Google Cloud.
keyword
cloud.provider
Name of the cloud provider. Example values are aws, azure, gcp, or digitalocean.
keyword
cloud.region
Region in which this host is running.
keyword
container.id
Unique container id.
keyword
container.image.name
Name of the image the container was built on.
keyword
container.labels
Image labels.
object
container.name
Container name.
keyword
data_stream.dataset
Data stream dataset.
constant_keyword
data_stream.namespace
Data stream namespace.
constant_keyword
data_stream.type
Data stream type.
constant_keyword
destination.address
Some event destination addresses are defined ambiguously. The event will sometimes list an IP, a domain or a unix socket. You should always store the raw address in the .address field. Then it should be duplicated to .ip or .domain, depending on which one it is.
keyword
destination.domain
The domain name of the destination system. This value may be a host name, a fully qualified domain name, or another host naming format. The value may derive from the original event or be added from enrichment.
keyword
destination.ip
IP address of the destination (IPv4 or IPv6).
ip
destination.nat.ip
Translated ip of destination based NAT sessions (e.g. internet to private DMZ) Typically used with load balancers, firewalls, or routers.
ip
destination.nat.port
Port the source session is translated to by NAT Device. Typically used with load balancers, firewalls, or routers.
long
destination.port
Port of the destination.
long
ecs.version
ECS version this event conforms to. ecs.version is a required field and must exist in all events. When querying across multiple indices -- which may conform to slightly different ECS versions -- this field lets integrations adjust to the schema version of the events.
keyword
event.created
event.created contains the date/time when the event was first read by an agent, or by your pipeline. This field is distinct from @timestamp in that @timestamp typically contain the time extracted from the original event. In most situations, these two timestamps will be slightly different. The difference can be used to calculate the delay between your source generating an event, and the time when your agent first processed it. This can be used to monitor your agent's or pipeline's ability to keep up with your event source. In case the two timestamps are identical, @timestamp should be used.
date
event.dataset
Event dataset
constant_keyword
event.module
Event module
constant_keyword
gcp.load_balancer.backend_service_name
The backend service to which the load balancer is sending traffic
keyword
gcp.load_balancer.cache_hit
Whether or not an entity was served from cache (with or without validation).
boolean
gcp.load_balancer.cache_id
Indicates the location and cache instance that the cache response was served from. For example, a cache response served from a cache in Amsterdam would have a cacheId value of AMS-85e2bd4b, where AMS is the IATA code, and 85e2bd4b is an opaque identifier of the cache instance (because some Cloud CDN locations have multiple discrete caches).
keyword
gcp.load_balancer.cache_lookup
Whether or not a cache lookup was attempted.
boolean
gcp.load_balancer.forwarding_rule_name
The name of the forwarding rule
keyword
gcp.load_balancer.status_details
Explains why the load balancer returned the HTTP status that it did. See https://cloud.google.com/cdn/docs/cdn-logging-monitoring#statusdetail\_http\_success\_messages for specific messages.
keyword
gcp.load_balancer.target_proxy_name
The target proxy name
keyword
gcp.load_balancer.url_map_name
The URL map name
keyword
host.architecture
Operating system architecture.
keyword
host.containerized
If the host is a container.
boolean
host.domain
Name of the domain of which the host is a member. For example, on Windows this could be the host's Active Directory domain or NetBIOS domain name. For Linux this could be the domain of the host's LDAP provider.
keyword
host.hostname
Hostname of the host. It normally contains what the hostname command returns on the host machine.
keyword
host.id
Unique host id. As hostname is not always unique, use values that are meaningful in your environment. Example: The current usage of beat.name.
keyword
host.ip
Host ip addresses.
ip
host.mac
Host mac addresses.
keyword
host.name
Name of the host. It can contain what hostname returns on Unix systems, the fully qualified domain name, or a name specified by the user. The sender decides which value to use.
keyword
host.os.build
OS build information.
keyword
host.os.codename
OS codename, if any.
keyword
host.os.family
OS family (such as redhat, debian, freebsd, windows).
keyword
host.os.kernel
Operating system kernel version as a raw string.
keyword
host.os.name
Operating system name, without the version.
keyword
host.os.name.text
Multi-field of host.os.name.
text
host.os.platform
Operating system platform (such centos, ubuntu, windows).
keyword
host.os.version
Operating system version as a raw string.
keyword
host.type
Type of host. For Cloud providers this can be the machine type like t2.medium. If vm, this could be the container, for example, or other information meaningful in your environment.
keyword
http.request.bytes
Total size in bytes of the request (body and headers).
long
http.request.method
HTTP request method. The value should retain its casing from the original event. For example, GET, get, and GeT are all considered valid values for this field.
keyword
http.request.referrer
Referrer for this HTTP request.
keyword
http.response.bytes
Total size in bytes of the response (body and headers).
long
http.response.status_code
HTTP response status code.
long
http.version
HTTP version.
keyword
input.type
Input type
keyword
log.level
Original log level of the log event. If the source of the event provides a log level or textual severity, this is the one that goes in log.level. If your source doesn't specify one, you may put your event transport's severity here (e.g. Syslog severity). Some examples are warn, err, i, informational.
keyword
log.logger
The name of the logger inside an application. This is usually the name of the class which initialized the logger, or can be a custom name.
keyword
log.offset
Log offset
long
network.protocol
In the OSI Model this would be the Application Layer protocol. For example, http, dns, or ssh. The field value must be normalized to lowercase for querying.
keyword
related.hosts
All hostnames or other host identifiers seen on your event. Example identifiers include FQDNs, domain names, workstation names, or aliases.
keyword
related.ip
All of the IPs seen on your event.
ip
source.address
Some event source addresses are defined ambiguously. The event will sometimes list an IP, a domain or a unix socket. You should always store the raw address in the .address field. Then it should be duplicated to .ip or .domain, depending on which one it is.
keyword
source.as.number
Unique number allocated to the autonomous system. The autonomous system number (ASN) uniquely identifies each network on the Internet.
long
source.as.organization.name
Organization name.
keyword
source.as.organization.name.text
Multi-field of source.as.organization.name.
match_only_text
source.geo.city_name
City name.
keyword
source.geo.continent_name
Name of the continent.
keyword
source.geo.country_iso_code
Country ISO code.
keyword
source.geo.country_name
Country name.
keyword
source.geo.location
Longitude and latitude.
geo_point
source.geo.region_iso_code
Region ISO code.
keyword
source.geo.region_name
Region name.
keyword
source.ip
IP address of the source (IPv4 or IPv6).
ip
source.port
Port of the source.
long
tags
List of keywords used to tag each event.
keyword
url.domain
Domain of the url, such as "www.elastic.co". In some cases a URL may refer to an IP and/or port directly, without a domain name. In this case, the IP address would go to the domain field. If the URL contains a literal IPv6 address enclosed by [ and ] (IETF RFC 2732), the [ and ] characters should also be captured in the domain field.
keyword
url.extension
The field contains the file extension from the original request url, excluding the leading dot. The file extension is only set if it exists, as not every url has a file extension. The leading period must not be included. For example, the value must be "png", not ".png". Note that when the file name has multiple extensions (example.tar.gz), only the last one should be captured ("gz", not "tar.gz").
keyword
url.original
Unmodified original url as seen in the event source. Note that in network monitoring, the observed URL may be a full URL, whereas in access logs, the URL is often just represented as a path. This field is meant to represent the URL as it was observed, complete or not.
wildcard
url.original.text
Multi-field of url.original.
match_only_text
url.path
Path of the request, such as "/search".
wildcard
url.port
Port of the request, such as 443.
long
url.query
The query field describes the query string of the request, such as "q=elasticsearch". The ? is excluded from the query string. If a URL contains no ?, there is no query field. If there is a ? but no query, the query field exists with an empty string. The exists query can be used to differentiate between the two cases.
keyword
url.scheme
Scheme of the request, such as "https". Note: The : is not part of the scheme.
keyword
user_agent.device.name
Name of the device.
keyword
user_agent.name
Name of the user agent.
keyword
user_agent.original
Unparsed user_agent string.
keyword
user_agent.original.text
Multi-field of user_agent.original.
match_only_text
user_agent.os.full
Operating system name, including the version or code name.
keyword
user_agent.os.full.text
Multi-field of user_agent.os.full.
match_only_text
user_agent.os.name
Operating system name, without the version.
keyword
user_agent.os.name.text
Multi-field of user_agent.os.name.
match_only_text
user_agent.os.version
Operating system version as a raw string.
keyword
user_agent.version
Version of the user agent.
keyword

An example event for loadbalancing looks as following:

{
    "@timestamp": "2020-06-08T23:41:30.078Z",
    "agent": {
        "ephemeral_id": "f4dde373-2ff7-464b-afdb-da94763f219b",
        "id": "5d3eee86-91a9-4afa-af92-c6b79bd866c0",
        "name": "docker-fleet-agent",
        "type": "filebeat",
        "version": "8.6.0"
    },
    "cloud": {
        "project": {
            "id": "PROJECT_ID"
        },
        "region": "global"
    },
    "data_stream": {
        "dataset": "gcp.loadbalancing_logs",
        "namespace": "ep",
        "type": "logs"
    },
    "destination": {
        "address": "81.2.69.193",
        "ip": "81.2.69.193",
        "nat": {
            "ip": "10.5.3.1",
            "port": 9090
        },
        "port": 8080
    },
    "ecs": {
        "version": "8.8.0"
    },
    "elastic_agent": {
        "id": "5d3eee86-91a9-4afa-af92-c6b79bd866c0",
        "snapshot": true,
        "version": "8.6.0"
    },
    "event": {
        "agent_id_status": "verified",
        "category": "network",
        "created": "2020-06-08T23:41:30.588Z",
        "dataset": "gcp.loadbalancing_logs",
        "id": "1oek5rg3l3fxj7",
        "ingested": "2023-01-13T15:02:22Z",
        "kind": "event",
        "type": "info"
    },
    "gcp": {
        "load_balancer": {
            "backend_service_name": "",
            "cache_hit": true,
            "cache_id": "SFO-fbae48ad",
            "cache_lookup": true,
            "forwarding_rule_name": "FORWARDING_RULE_NAME",
            "status_details": "response_from_cache",
            "target_proxy_name": "TARGET_PROXY_NAME",
            "url_map_name": "URL_MAP_NAME"
        }
    },
    "http": {
        "request": {
            "bytes": 577,
            "method": "GET",
            "referrer": "https://developer.mozilla.org/en-US/docs/Web/JavaScript"
        },
        "response": {
            "bytes": 157,
            "status_code": 304
        },
        "version": "2.0"
    },
    "input": {
        "type": "gcp-pubsub"
    },
    "log": {
        "level": "INFO",
        "logger": "projects/PROJECT_ID/logs/requests"
    },
    "network": {
        "protocol": "http"
    },
    "related": {
        "ip": [
            "89.160.20.156",
            "81.2.69.193",
            "10.5.3.1"
        ]
    },
    "source": {
        "address": "89.160.20.156",
        "as": {
            "number": 29518,
            "organization": {
                "name": "Bredband2 AB"
            }
        },
        "geo": {
            "city_name": "Linköping",
            "continent_name": "Europe",
            "country_iso_code": "SE",
            "country_name": "Sweden",
            "location": {
                "lat": 58.4167,
                "lon": 15.6167
            },
            "region_iso_code": "SE-E",
            "region_name": "Östergötland County"
        },
        "ip": "89.160.20.156",
        "port": 9989
    },
    "tags": [
        "forwarded",
        "gcp-loadbalancing_logs"
    ],
    "url": {
        "domain": "81.2.69.193",
        "extension": "jpg",
        "original": "http://81.2.69.193:8080/static/us/three-cats.jpg",
        "path": "/static/us/three-cats.jpg",
        "port": 8080,
        "scheme": "http"
    },
    "user_agent": {
        "device": {
            "name": "Mac"
        },
        "name": "Chrome",
        "original": "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_14_6) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/83.0.4103.61 Safari/537.36",
        "os": {
            "full": "Mac OS X 10.14.6",
            "name": "Mac OS X",
            "version": "10.14.6"
        },
        "version": "83.0.4103.61"
    }
}

Metrics

Billing

The billing dataset collects GCP Billing information from Google Cloud BigQuery daily cost detail table.

Exported fields

FieldDescriptionType
@timestamp
Event timestamp.
date
cloud
Fields related to the cloud or infrastructure the events are coming from.
group
cloud.account.id
The cloud account or organization id used to identify different entities in a multi-tenant environment. Examples: AWS account id, Google Cloud ORG Id, or other unique identifier.
keyword
cloud.account.name
The cloud account name or alias used to identify different entities in a multi-tenant environment. Examples: AWS account name, Google Cloud ORG display name.
keyword
cloud.availability_zone
Availability zone in which this host, resource, or service is located.
keyword
cloud.image.id
Image ID for the cloud instance.
keyword
cloud.instance.id
Instance ID of the host machine.
keyword
cloud.instance.name
Instance name of the host machine.
keyword
cloud.machine.type
Machine type of the host machine.
keyword
cloud.project.id
Name of the project in Google Cloud.
keyword
cloud.provider
Name of the cloud provider. Example values are aws, azure, gcp, or digitalocean.
keyword
cloud.region
Region in which this host, resource, or service is located.
keyword
container.id
Unique container id.
keyword
container.image.name
Name of the image the container was built on.
keyword
container.labels
Image labels.
object
container.name
Container name.
keyword
data_stream.dataset
Data stream dataset.
constant_keyword
data_stream.namespace
Data stream namespace.
constant_keyword
data_stream.type
Data stream type.
constant_keyword
ecs.version
ECS version this event conforms to. ecs.version is a required field and must exist in all events. When querying across multiple indices -- which may conform to slightly different ECS versions -- this field lets integrations adjust to the schema version of the events.
keyword
error
These fields can represent errors of any kind. Use them for errors that happen while fetching events or in cases where the event itself contains an error.
group
error.message
Error message.
match_only_text
event.dataset
Event dataset
constant_keyword
event.module
Event module
constant_keyword
gcp.billing.billing_account_id
Project Billing Account ID.
keyword
gcp.billing.cost_type
Cost types include regular, tax, adjustment, and rounding_error.
keyword
gcp.billing.effective_price
The charged price for usage of the Google Cloud SKUs and SKU tiers. Reflects contract pricing if applicable, otherwise, it's the list price.
float
gcp.billing.invoice_month
Billing report month.
keyword
gcp.billing.project_id
Project ID of the billing report belongs to.
keyword
gcp.billing.project_name
Project Name of the billing report belongs to.
keyword
gcp.billing.service_description
The Google Cloud service that reported the Cloud Billing data.
keyword
gcp.billing.service_id
The ID of the service that the usage is associated with.
keyword
gcp.billing.sku_description
A description of the resource type used by the service. For example, a resource type for Cloud Storage is Standard Storage US.
keyword
gcp.billing.sku_id
The ID of the resource used by the service.
keyword
gcp.billing.tags.key
keyword
gcp.billing.tags.value
keyword
gcp.billing.total
Total billing amount.
float
host.architecture
Operating system architecture.
keyword
host.containerized
If the host is a container.
boolean
host.domain
Name of the domain of which the host is a member. For example, on Windows this could be the host's Active Directory domain or NetBIOS domain name. For Linux this could be the domain of the host's LDAP provider.
keyword
host.hostname
Hostname of the host. It normally contains what the hostname command returns on the host machine.
keyword
host.id
Unique host id. As hostname is not always unique, use values that are meaningful in your environment. Example: The current usage of beat.name.
keyword
host.ip
Host ip addresses.
ip
host.mac
Host mac addresses.
keyword
host.name
Name of the host. It can contain what hostname returns on Unix systems, the fully qualified domain name, or a name specified by the user. The sender decides which value to use.
keyword
host.os.build
OS build information.
keyword
host.os.codename
OS codename, if any.
keyword
host.os.family
OS family (such as redhat, debian, freebsd, windows).
keyword
host.os.kernel
Operating system kernel version as a raw string.
keyword
host.os.name
Operating system name, without the version.
keyword
host.os.name.text
Multi-field of host.os.name.
text
host.os.platform
Operating system platform (such centos, ubuntu, windows).
keyword
host.os.version
Operating system version as a raw string.
keyword
host.type
Type of host. For Cloud providers this can be the machine type like t2.medium. If vm, this could be the container, for example, or other information meaningful in your environment.
keyword
service.type
The type of the service data is collected from. The type can be used to group and correlate logs and metrics from one service type. Example: If logs or metrics are collected from Elasticsearch, service.type would be elasticsearch.
keyword

An example event for billing looks as following:

{
    "@timestamp": "2017-10-12T08:05:34.853Z",
    "cloud": {
        "account": {
            "id": "01475F-5B1080-1137E7"
        },
        "project": {
            "id": "elastic-bi",
            "name": "elastic-containerlib-prod"
        },
        "provider": "gcp"
    },
    "event": {
        "dataset": "gcp.billing",
        "duration": 115000,
        "module": "gcp"
    },
    "gcp": {
        "billing": {
            "billing_account_id": "01475F-5B1080-1137E7",
            "cost_type": "regular",
            "invoice_month": "202106",
            "project_id": "containerlib-prod-12763",
            "project_name": "elastic-containerlib-prod",
            "total": 4717.170681,
            "sku_id": "0D56-2F80-52A5",
            "service_id": "6F81-5844-456A",
            "sku_description": "Network Inter Region Ingress from Jakarta to Americas",
            "service_description": "Compute Engine",
            "effective_price": 0.00292353,
            "tags": [
                {
                    "key": "stage",
                    "value": "prod"
                },
                {
                    "key": "size",
                    "value": "standard"
                }
            ]
        }
    },
    "metricset": {
        "name": "billing",
        "period": 10000
    },
    "service": {
        "type": "gcp"
    }
}

Compute

The compute dataset is designed to fetch metrics for Compute Engine Virtual Machines in Google Cloud Platform.

Exported fields

FieldDescriptionTypeMetric Type
@timestamp
Event timestamp.
date
agent.id
Unique identifier of this agent (if one exists). Example: For Beats this would be beat.id.
keyword
cloud
Fields related to the cloud or infrastructure the events are coming from.
group
cloud.account.id
The cloud account or organization id used to identify different entities in a multi-tenant environment. Examples: AWS account id, Google Cloud ORG Id, or other unique identifier.
keyword
cloud.account.name
The cloud account name or alias used to identify different entities in a multi-tenant environment. Examples: AWS account name, Google Cloud ORG display name.
keyword
cloud.availability_zone
Availability zone in which this host, resource, or service is located.
keyword
cloud.image.id
Image ID for the cloud instance.
keyword
cloud.instance.id
Instance ID of the host machine.
keyword
cloud.instance.name
Instance name of the host machine.
keyword
cloud.machine.type
Machine type of the host machine.
keyword
cloud.project.id
Name of the project in Google Cloud.
keyword
cloud.provider
Name of the cloud provider. Example values are aws, azure, gcp, or digitalocean.
keyword
cloud.region
Region in which this host, resource, or service is located.
keyword
container.id
Unique container id.
keyword
container.image.name
Name of the image the container was built on.
keyword
container.labels
Image labels.
object
container.name
Container name.
keyword
data_stream.dataset
Data stream dataset.
constant_keyword
data_stream.namespace
Data stream namespace.
constant_keyword
data_stream.type
Data stream type.
constant_keyword
ecs.version
ECS version this event conforms to. ecs.version is a required field and must exist in all events. When querying across multiple indices -- which may conform to slightly different ECS versions -- this field lets integrations adjust to the schema version of the events.
keyword
error
These fields can represent errors of any kind. Use them for errors that happen while fetching events or in cases where the event itself contains an error.
group
error.message
Error message.
match_only_text
event.dataset
Event dataset
constant_keyword
event.module
Event module
constant_keyword
gcp.compute.firewall.dropped.bytes
Delta of incoming bytes dropped by the firewall
long
gauge
gcp.compute.firewall.dropped_packets_count.value
Delta of incoming packets dropped by the firewall
long
gauge
gcp.compute.instance.cpu.reserved_cores.value
Number of cores reserved on the host of the instance
double
gauge
gcp.compute.instance.cpu.usage.pct
The fraction of the allocated CPU that is currently in use on the instance
double
gauge
gcp.compute.instance.cpu.usage_time.sec
Delta of usage for all cores in seconds
double
gauge
gcp.compute.instance.disk.read.bytes
Delta of count of bytes read from disk
long
gauge
gcp.compute.instance.disk.read_ops_count.value
Delta of count of disk read IO operations
long
gauge
gcp.compute.instance.disk.write.bytes
Delta of count of bytes written to disk
long
gauge
gcp.compute.instance.disk.write_ops_count.value
Delta of count of disk write IO operations
long
gauge
gcp.compute.instance.memory.balloon.ram_size.value
The total amount of memory in the VM. This metric is only available for VMs that belong to the e2 family.
long
gauge
gcp.compute.instance.memory.balloon.ram_used.value
Memory currently used in the VM. This metric is only available for VMs that belong to the e2 family.
long
gauge
gcp.compute.instance.memory.balloon.swap_in.bytes
Delta of the amount of memory read into the guest from its own swap space. This metric is only available for VMs that belong to the e2 family.
long
gauge
gcp.compute.instance.memory.balloon.swap_out.bytes
Delta of the amount of memory written from the guest to its own swap space. This metric is only available for VMs that belong to the e2 family.
long
gauge
gcp.compute.instance.network.egress.bytes
Delta of count of bytes sent over the network
long
gauge
gcp.compute.instance.network.egress.packets.count
Delta of count of packets sent over the network
long
gauge
gcp.compute.instance.network.ingress.bytes
Delta of count of bytes received from the network
long
gauge
gcp.compute.instance.network.ingress.packets.count
Delta of count of packets received from the network
long
gauge
gcp.compute.instance.uptime.sec
Delta of number of seconds the VM has been running.
long
gauge
gcp.compute.instance.uptime_total.sec
Elapsed time since the VM was started, in seconds. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
long
gauge
gcp.labels.metadata.*
object
gcp.labels.metrics.*
object
gcp.labels.resource.*
object
gcp.labels.system.*
object
gcp.labels.user.*
object
gcp.labels_fingerprint
Hashed value of the labels field.
keyword
gcp.metrics.*.*.*.*
Metrics that returned from Google Cloud API query.
object
host.architecture
Operating system architecture.
keyword
host.containerized
If the host is a container.
boolean
host.domain
Name of the domain of which the host is a member. For example, on Windows this could be the host's Active Directory domain or NetBIOS domain name. For Linux this could be the domain of the host's LDAP provider.
keyword
host.hostname
Hostname of the host. It normally contains what the hostname command returns on the host machine.
keyword
host.id
Unique host id. As hostname is not always unique, use values that are meaningful in your environment. Example: The current usage of beat.name.
keyword
host.ip
Host ip addresses.
ip
host.mac
Host mac addresses.
keyword
host.name
Name of the host. It can contain what hostname returns on Unix systems, the fully qualified domain name, or a name specified by the user. The sender decides which value to use.
keyword
host.os.build
OS build information.
keyword
host.os.codename
OS codename, if any.
keyword
host.os.family
OS family (such as redhat, debian, freebsd, windows).
keyword
host.os.kernel
Operating system kernel version as a raw string.
keyword
host.os.name
Operating system name, without the version.
keyword
host.os.name.text
Multi-field of host.os.name.
text
host.os.platform
Operating system platform (such centos, ubuntu, windows).
keyword
host.os.version
Operating system version as a raw string.
keyword
host.type
Type of host. For Cloud providers this can be the machine type like t2.medium. If vm, this could be the container, for example, or other information meaningful in your environment.
keyword
service.type
The type of the service data is collected from. The type can be used to group and correlate logs and metrics from one service type. Example: If logs or metrics are collected from Elasticsearch, service.type would be elasticsearch.
keyword

An example event for compute looks as following:

{
    "@timestamp": "2017-10-12T08:05:34.853Z",
    "cloud": {
        "account": {
            "id": "elastic-obs-integrations-dev",
            "name": "elastic-obs-integrations-dev"
        },
        "instance": {
            "id": "4751091017865185079",
            "name": "gke-cluster-1-default-pool-6617a8aa-5clh"
        },
        "machine": {
            "type": "e2-medium"
        },
        "provider": "gcp",
        "availability_zone": "us-central1-c",
        "region": "us-central1"
    },
    "event": {
        "dataset": "gcp.compute",
        "duration": 115000,
        "module": "gcp"
    },
    "gcp": {
        "compute": {
            "firewall": {
                "dropped": {
                    "bytes": 421
                },
                "dropped_packets_count": {
                    "value": 4
                }
            },
            "instance": {
                "cpu": {
                    "reserved_cores": {
                        "value": 1
                    },
                    "usage": {
                        "pct": 0.07259952346383708
                    },
                    "usage_time": {
                        "sec": 4.355971407830225
                    }
                },
                "memory": {
                    "balloon": {
                        "ram_size": {
                            "value": 4128378880
                        },
                        "ram_used": {
                            "value": 2190848000
                        },
                        "swap_in": {
                            "bytes": 0
                        },
                        "swap_out": {
                            "bytes": 0
                        }
                    }
                },
                "uptime": {
                    "sec": 60.00000000000091
                }
            }
        },
        "labels": {
            "user": {
                "goog-gke-node": ""
            }
        }
    },
    "host": {
        "id": "4751091017865185079",
        "name": "gke-cluster-1-default-pool-6617a8aa-5clh"
    },
    "metricset": {
        "name": "compute",
        "period": 10000
    },
    "service": {
        "type": "gcp"
    }
}

Dataproc

The dataproc dataset is designed to fetch metrics from Dataproc in Google Cloud Platform.

Exported fields

FieldDescriptionTypeMetric Type
@timestamp
Event timestamp.
date
agent.id
Unique identifier of this agent (if one exists). Example: For Beats this would be beat.id.
keyword
cloud
Fields related to the cloud or infrastructure the events are coming from.
group
cloud.account.id
The cloud account or organization id used to identify different entities in a multi-tenant environment. Examples: AWS account id, Google Cloud ORG Id, or other unique identifier.
keyword
cloud.account.name
The cloud account name or alias used to identify different entities in a multi-tenant environment. Examples: AWS account name, Google Cloud ORG display name.
keyword
cloud.availability_zone
Availability zone in which this host, resource, or service is located.
keyword
cloud.image.id
Image ID for the cloud instance.
keyword
cloud.instance.id
Instance ID of the host machine.
keyword
cloud.instance.name
Instance name of the host machine.
keyword
cloud.machine.type
Machine type of the host machine.
keyword
cloud.project.id
Name of the project in Google Cloud.
keyword
cloud.provider
Name of the cloud provider. Example values are aws, azure, gcp, or digitalocean.
keyword
cloud.region
Region in which this host, resource, or service is located.
keyword
container.id
Unique container id.
keyword
container.image.name
Name of the image the container was built on.
keyword
container.labels
Image labels.
object
container.name
Container name.
keyword
data_stream.dataset
Data stream dataset.
constant_keyword
data_stream.namespace
Data stream namespace.
constant_keyword
data_stream.type
Data stream type.
constant_keyword
ecs.version
ECS version this event conforms to. ecs.version is a required field and must exist in all events. When querying across multiple indices -- which may conform to slightly different ECS versions -- this field lets integrations adjust to the schema version of the events.
keyword
error
These fields can represent errors of any kind. Use them for errors that happen while fetching events or in cases where the event itself contains an error.
group
error.message
Error message.
match_only_text
event.dataset
Event dataset
constant_keyword
event.module
Event module
constant_keyword
gcp.dataproc.batch.spark.executors.count
Indicates the number of Batch Spark executors.
long
gauge
gcp.dataproc.cluster.hdfs.datanodes.count
Indicates the number of HDFS DataNodes that are running inside a cluster.
long
gauge
gcp.dataproc.cluster.hdfs.storage_capacity.value
Indicates capacity of HDFS system running on cluster in GB.
double
gauge
gcp.dataproc.cluster.hdfs.storage_utilization.value
The percentage of HDFS storage currently used.
double
gauge
gcp.dataproc.cluster.hdfs.unhealthy_blocks.count
Indicates the number of unhealthy blocks inside the cluster.
long
gauge
gcp.dataproc.cluster.job.completion_time.value
The time jobs took to complete from the time the user submits a job to the time Dataproc reports it is completed.
object
gcp.dataproc.cluster.job.duration.value
The time jobs have spent in a given state.
object
gcp.dataproc.cluster.job.failed.count
Indicates the delta of the number of jobs that have failed on a cluster.
long
gauge
gcp.dataproc.cluster.job.running.count
Indicates the number of jobs that are running on a cluster.
long
gauge
gcp.dataproc.cluster.job.submitted.count
Indicates the delta of the number of jobs that have been submitted to a cluster.
long
gauge
gcp.dataproc.cluster.operation.completion_time.value
The time operations took to complete from the time the user submits a operation to the time Dataproc reports it is completed.
object
gcp.dataproc.cluster.operation.duration.value
The time operations have spent in a given state.
object
gcp.dataproc.cluster.operation.failed.count
Indicates the delta of the number of operations that have failed on a cluster.
long
gauge
gcp.dataproc.cluster.operation.running.count
Indicates the number of operations that are running on a cluster.
long
gauge
gcp.dataproc.cluster.operation.submitted.count
Indicates the delta of the number of operations that have been submitted to a cluster.
long
gauge
gcp.dataproc.cluster.yarn.allocated_memory_percentage.value
The percentage of YARN memory is allocated.
double
gauge
gcp.dataproc.cluster.yarn.apps.count
Indicates the number of active YARN applications.
long
gauge
gcp.dataproc.cluster.yarn.containers.count
Indicates the number of YARN containers.
long
gauge
gcp.dataproc.cluster.yarn.memory_size.value
Indicates the YARN memory size in GB.
double
gauge
gcp.dataproc.cluster.yarn.nodemanagers.count
Indicates the number of YARN NodeManagers running inside cluster.
long
gauge
gcp.dataproc.cluster.yarn.pending_memory_size.value
The current memory request, in GB, that is pending to be fulfilled by the scheduler.
double
gauge
gcp.dataproc.cluster.yarn.virtual_cores.count
Indicates the number of virtual cores in YARN.
long
gauge
gcp.labels.metadata.*
object
gcp.labels.metrics.*
object
gcp.labels.resource.*
object
gcp.labels.system.*
object
gcp.labels.user.*
object
gcp.labels_fingerprint
Hashed value of the labels field.
keyword
gcp.metrics.*.*.*.*
Metrics that returned from Google Cloud API query.
object
host.architecture
Operating system architecture.
keyword
host.containerized
If the host is a container.
boolean
host.domain
Name of the domain of which the host is a member. For example, on Windows this could be the host's Active Directory domain or NetBIOS domain name. For Linux this could be the domain of the host's LDAP provider.
keyword
host.hostname
Hostname of the host. It normally contains what the hostname command returns on the host machine.
keyword
host.id
Unique host id. As hostname is not always unique, use values that are meaningful in your environment. Example: The current usage of beat.name.
keyword
host.ip
Host ip addresses.
ip
host.mac
Host mac addresses.
keyword
host.name
Name of the host. It can contain what hostname returns on Unix systems, the fully qualified domain name, or a name specified by the user. The sender decides which value to use.
keyword
host.os.build
OS build information.
keyword
host.os.codename
OS codename, if any.
keyword
host.os.family
OS family (such as redhat, debian, freebsd, windows).
keyword
host.os.kernel
Operating system kernel version as a raw string.
keyword
host.os.name
Operating system name, without the version.
keyword
host.os.name.text
Multi-field of host.os.name.
text
host.os.platform
Operating system platform (such centos, ubuntu, windows).
keyword
host.os.version
Operating system version as a raw string.
keyword
host.type
Type of host. For Cloud providers this can be the machine type like t2.medium. If vm, this could be the container, for example, or other information meaningful in your environment.
keyword
service.type
The type of the service data is collected from. The type can be used to group and correlate logs and metrics from one service type. Example: If logs or metrics are collected from Elasticsearch, service.type would be elasticsearch.
keyword

An example event for dataproc looks as following:

{
    "@timestamp": "2017-10-12T08:05:34.853Z",
    "cloud": {
        "account": {
            "id": "elastic-obs-integrations-dev",
            "name": "elastic-obs-integrations-dev"
        },
        "instance": {
            "id": "4751091017865185079",
            "name": "gke-cluster-1-default-pool-6617a8aa-5clh"
        },
        "machine": {
            "type": "e2-medium"
        },
        "provider": "gcp",
        "availability_zone": "us-central1-c",
        "region": "us-central1"
    },
    "event": {
        "dataset": "gcp.dataproc",
        "duration": 115000,
        "module": "gcp"
    },
    "gcp": {
        "dataproc": {
            "cluster": {
                "hdfs": {
                    "datanodes": {
                        "count": 15
                    }
                }
            }
        },
        "labels": {
            "user": {
                "goog-gke-node": ""
            }
        }
    },
    "host": {
        "id": "4751091017865185079",
        "name": "gke-cluster-1-default-pool-6617a8aa-5clh"
    },
    "metricset": {
        "name": "dataproc",
        "period": 10000
    },
    "service": {
        "type": "gcp"
    }
}

Firestore

The firestore dataset fetches metrics from Firestore in Google Cloud Platform.

Exported fields

FieldDescriptionTypeMetric Type
@timestamp
Event timestamp.
date
cloud
Fields related to the cloud or infrastructure the events are coming from.
group
cloud.account.id
The cloud account or organization id used to identify different entities in a multi-tenant environment. Examples: AWS account id, Google Cloud ORG Id, or other unique identifier.
keyword
cloud.account.name
The cloud account name or alias used to identify different entities in a multi-tenant environment. Examples: AWS account name, Google Cloud ORG display name.
keyword
cloud.availability_zone
Availability zone in which this host, resource, or service is located.
keyword
cloud.image.id
Image ID for the cloud instance.
keyword
cloud.instance.id
Instance ID of the host machine.
keyword
cloud.instance.name
Instance name of the host machine.
keyword
cloud.machine.type
Machine type of the host machine.
keyword
cloud.project.id
Name of the project in Google Cloud.
keyword
cloud.provider
Name of the cloud provider. Example values are aws, azure, gcp, or digitalocean.
keyword
cloud.region
Region in which this host, resource, or service is located.
keyword
container.id
Unique container id.
keyword
container.image.name
Name of the image the container was built on.
keyword
container.labels
Image labels.
object
container.name
Container name.
keyword
data_stream.dataset
Data stream dataset.
constant_keyword
data_stream.namespace
Data stream namespace.
constant_keyword
data_stream.type
Data stream type.
constant_keyword
ecs.version
ECS version this event conforms to. ecs.version is a required field and must exist in all events. When querying across multiple indices -- which may conform to slightly different ECS versions -- this field lets integrations adjust to the schema version of the events.
keyword
error
These fields can represent errors of any kind. Use them for errors that happen while fetching events or in cases where the event itself contains an error.
group
error.message
Error message.
match_only_text
event.dataset
Event dataset
constant_keyword
event.module
Event module
constant_keyword
gcp.firestore.document.delete.count
Delta of the number of successful document deletes.
long
gauge
gcp.firestore.document.read.count
Delta of the number of successful document reads from queries or lookups.
long
gauge
gcp.firestore.document.write.count
Delta of the number of successful document writes.
long
gauge
gcp.labels.metadata.*
object
gcp.labels.metrics.*
object
gcp.labels.resource.*
object
gcp.labels.system.*
object
gcp.labels.user.*
object
gcp.metrics.*.*.*.*
Metrics that returned from Google Cloud API query.
object
host.architecture
Operating system architecture.
keyword
host.containerized
If the host is a container.
boolean
host.domain
Name of the domain of which the host is a member. For example, on Windows this could be the host's Active Directory domain or NetBIOS domain name. For Linux this could be the domain of the host's LDAP provider.
keyword
host.hostname
Hostname of the host. It normally contains what the hostname command returns on the host machine.
keyword
host.id
Unique host id. As hostname is not always unique, use values that are meaningful in your environment. Example: The current usage of beat.name.
keyword
host.ip
Host ip addresses.
ip
host.mac
Host mac addresses.
keyword
host.name
Name of the host. It can contain what hostname returns on Unix systems, the fully qualified domain name, or a name specified by the user. The sender decides which value to use.
keyword
host.os.build
OS build information.
keyword
host.os.codename
OS codename, if any.
keyword
host.os.family
OS family (such as redhat, debian, freebsd, windows).
keyword
host.os.kernel
Operating system kernel version as a raw string.
keyword
host.os.name
Operating system name, without the version.
keyword
host.os.name.text
Multi-field of host.os.name.
text
host.os.platform
Operating system platform (such centos, ubuntu, windows).
keyword
host.os.version
Operating system version as a raw string.
keyword
host.type
Type of host. For Cloud providers this can be the machine type like t2.medium. If vm, this could be the container, for example, or other information meaningful in your environment.
keyword
service.type
The type of the service data is collected from. The type can be used to group and correlate logs and metrics from one service type. Example: If logs or metrics are collected from Elasticsearch, service.type would be elasticsearch.
keyword

An example event for firestore looks as following:

{
    "@timestamp": "2017-10-12T08:05:34.853Z",
    "cloud": {
        "account": {
            "id": "elastic-obs-integrations-dev",
            "name": "elastic-obs-integrations-dev"
        },
        "instance": {
            "id": "4751091017865185079",
            "name": "gke-cluster-1-default-pool-6617a8aa-5clh"
        },
        "machine": {
            "type": "e2-medium"
        },
        "provider": "gcp",
        "availability_zone": "us-central1-c",
        "region": "us-central1"
    },
    "event": {
        "dataset": "gcp.firestore",
        "duration": 115000,
        "module": "gcp"
    },
    "gcp": {
        "firestore": {
            "document": {
                "delete": {
                    "count": 3
                },
                "read": {
                    "count": 10
                },
                "write": {
                    "count": 1
                }
            }
        },
        "labels": {
            "user": {
                "goog-gke-node": ""
            }
        }
    },
    "host": {
        "id": "4751091017865185079",
        "name": "gke-cluster-1-default-pool-6617a8aa-5clh"
    },
    "metricset": {
        "name": "firestore",
        "period": 10000
    },
    "service": {
        "type": "gcp"
    }
}

GKE

The gke dataset is designed to fetch metrics from GKE in Google Cloud Platform.

Exported fields

FieldDescriptionTypeMetric Type
@timestamp
Event timestamp.
date
agent.id
Unique identifier of this agent (if one exists). Example: For Beats this would be beat.id.
keyword
cloud
Fields related to the cloud or infrastructure the events are coming from.
group
cloud.account.id
The cloud account or organization id used to identify different entities in a multi-tenant environment. Examples: AWS account id, Google Cloud ORG Id, or other unique identifier.
keyword
cloud.account.name
The cloud account name or alias used to identify different entities in a multi-tenant environment. Examples: AWS account name, Google Cloud ORG display name.
keyword
cloud.availability_zone
Availability zone in which this host, resource, or service is located.
keyword
cloud.image.id
Image ID for the cloud instance.
keyword
cloud.instance.id
Instance ID of the host machine.
keyword
cloud.instance.name
Instance name of the host machine.
keyword
cloud.machine.type
Machine type of the host machine.
keyword
cloud.project.id
Name of the project in Google Cloud.
keyword
cloud.provider
Name of the cloud provider. Example values are aws, azure, gcp, or digitalocean.
keyword
cloud.region
Region in which this host, resource, or service is located.
keyword
container.id
Unique container id.
keyword
container.image.name
Name of the image the container was built on.
keyword
container.labels
Image labels.
object
container.name
Container name.
keyword
data_stream.dataset
Data stream dataset.
constant_keyword
data_stream.namespace
Data stream namespace.
constant_keyword
data_stream.type
Data stream type.
constant_keyword
ecs.version
ECS version this event conforms to. ecs.version is a required field and must exist in all events. When querying across multiple indices -- which may conform to slightly different ECS versions -- this field lets integrations adjust to the schema version of the events.
keyword
error
These fields can represent errors of any kind. Use them for errors that happen while fetching events or in cases where the event itself contains an error.
group
error.message
Error message.
match_only_text
event.dataset
Event dataset
constant_keyword
event.module
Event module
constant_keyword
gcp.gke.container.cpu.core_usage_time.sec
Cumulative CPU usage on all cores used by the container in seconds. Sampled every 60 seconds.
double
counter
gcp.gke.container.cpu.limit_cores.value
CPU cores limit of the container. Sampled every 60 seconds.
double
gauge
gcp.gke.container.cpu.limit_utilization.pct
The fraction of the CPU limit that is currently in use on the instance. This value cannot exceed 1 as usage cannot exceed the limit. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
double
gauge
gcp.gke.container.cpu.request_cores.value
Number of CPU cores requested by the container. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
double
gauge
gcp.gke.container.cpu.request_utilization.pct
The fraction of the requested CPU that is currently in use on the instance. This value can be greater than 1 as usage can exceed the request. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
double
gauge
gcp.gke.container.ephemeral_storage.limit.bytes
Local ephemeral storage limit in bytes. Sampled every 60 seconds.
long
gauge
gcp.gke.container.ephemeral_storage.request.bytes
Local ephemeral storage request in bytes. Sampled every 60 seconds.
long
gauge
gcp.gke.container.ephemeral_storage.used.bytes
Local ephemeral storage usage in bytes. Sampled every 60 seconds.
long
gauge
gcp.gke.container.memory.limit.bytes
Memory limit of the container in bytes. Sampled every 60 seconds.
long
gauge
gcp.gke.container.memory.limit_utilization.pct
The fraction of the memory limit that is currently in use on the instance. This value cannot exceed 1 as usage cannot exceed the limit. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
double
gauge
gcp.gke.container.memory.page_fault.count
Number of page faults, broken down by type, major and minor.
long
counter
gcp.gke.container.memory.request.bytes
Memory request of the container in bytes. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
long
gauge
gcp.gke.container.memory.request_utilization.pct
The fraction of the requested memory that is currently in use on the instance. This value can be greater than 1 as usage can exceed the request. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
double
gauge
gcp.gke.container.memory.used.bytes
Memory usage in bytes. Sampled every 60 seconds.
long
gauge
gcp.gke.container.restart.count
Number of times the container has restarted. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
long
counter
gcp.gke.container.uptime.sec
Time in seconds that the container has been running. Sampled every 60 seconds.
double
gauge
gcp.gke.node.cpu.allocatable_cores.value
Number of allocatable CPU cores on the node. Sampled every 60 seconds.
double
gauge
gcp.gke.node.cpu.allocatable_utilization.pct
The fraction of the allocatable CPU that is currently in use on the instance. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
double
gauge
gcp.gke.node.cpu.core_usage_time.sec
Cumulative CPU usage on all cores used on the node in seconds. Sampled every 60 seconds.
double
counter
gcp.gke.node.cpu.total_cores.value
Total number of CPU cores on the node. Sampled every 60 seconds.
double
gauge
gcp.gke.node.ephemeral_storage.allocatable.bytes
Local ephemeral storage bytes allocatable on the node. Sampled every 60 seconds.
long
gauge
gcp.gke.node.ephemeral_storage.inodes_free.value
Free number of inodes on local ephemeral storage. Sampled every 60 seconds.
long
gauge
gcp.gke.node.ephemeral_storage.inodes_total.value
Total number of inodes on local ephemeral storage. Sampled every 60 seconds.
long
gauge
gcp.gke.node.ephemeral_storage.total.bytes
Total ephemeral storage bytes on the node. Sampled every 60 seconds.
long
gauge
gcp.gke.node.ephemeral_storage.used.bytes
Local ephemeral storage bytes used by the node. Sampled every 60 seconds.
long
gauge
gcp.gke.node.memory.allocatable.bytes
Cumulative memory bytes used by the node. Sampled every 60 seconds.
long
gauge
gcp.gke.node.memory.allocatable_utilization.pct
The fraction of the allocatable memory that is currently in use on the instance. This value cannot exceed 1 as usage cannot exceed allocatable memory bytes. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
double
gauge
gcp.gke.node.memory.total.bytes
Number of bytes of memory allocatable on the node. Sampled every 60 seconds.
long
gauge
gcp.gke.node.memory.used.bytes
Cumulative memory bytes used by the node. Sampled every 60 seconds.
long
gauge
gcp.gke.node.network.received_bytes.count
Cumulative number of bytes received by the node over the network. Sampled every 60 seconds.
long
counter
gcp.gke.node.network.sent_bytes.count
Cumulative number of bytes transmitted by the node over the network. Sampled every 60 seconds.
long
counter
gcp.gke.node.pid_limit.value
The max PID of OS on the node. Sampled every 60 seconds.
long
gauge
gcp.gke.node.pid_used.value
The number of running process in the OS on the node. Sampled every 60 seconds.
long
gauge
gcp.gke.node_daemon.cpu.core_usage_time.sec
Cumulative CPU usage on all cores used by the node level system daemon in seconds. Sampled every 60 seconds.
double
counter
gcp.gke.node_daemon.memory.used.bytes
Memory usage by the system daemon in bytes. Sampled every 60 seconds.
long
gauge
gcp.gke.pod.network.received.bytes
Cumulative number of bytes received by the pod over the network. Sampled every 60 seconds.
long
counter
gcp.gke.pod.network.sent.bytes
Cumulative number of bytes transmitted by the pod over the network. Sampled every 60 seconds.
long
counter
gcp.gke.pod.volume.total.bytes
Total number of disk bytes available to the pod. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
long
gauge
gcp.gke.pod.volume.used.bytes
Number of disk bytes used by the pod. Sampled every 60 seconds.
long
gauge
gcp.gke.pod.volume.utilization.pct
The fraction of the volume that is currently being used by the instance. This value cannot be greater than 1 as usage cannot exceed the total available volume space. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
double
gauge
gcp.labels.metadata.*
object
gcp.labels.metrics.*
object
gcp.labels.resource.*
object
gcp.labels.system.*
object
gcp.labels.user.*
object
gcp.labels_fingerprint
Hashed value of the labels field.
keyword
gcp.metrics.*.*.*.*
Metrics that returned from Google Cloud API query.
object
host.architecture
Operating system architecture.
keyword
host.containerized
If the host is a container.
boolean
host.domain
Name of the domain of which the host is a member. For example, on Windows this could be the host's Active Directory domain or NetBIOS domain name. For Linux this could be the domain of the host's LDAP provider.
keyword
host.hostname
Hostname of the host. It normally contains what the hostname command returns on the host machine.
keyword
host.id
Unique host id. As hostname is not always unique, use values that are meaningful in your environment. Example: The current usage of beat.name.
keyword
host.ip
Host ip addresses.
ip
host.mac
Host mac addresses.
keyword
host.name
Name of the host. It can contain what hostname returns on Unix systems, the fully qualified domain name, or a name specified by the user. The sender decides which value to use.
keyword
host.os.build
OS build information.
keyword
host.os.codename
OS codename, if any.
keyword
host.os.family
OS family (such as redhat, debian, freebsd, windows).
keyword
host.os.kernel
Operating system kernel version as a raw string.
keyword
host.os.name
Operating system name, without the version.
keyword
host.os.name.text
Multi-field of host.os.name.
text
host.os.platform
Operating system platform (such centos, ubuntu, windows).
keyword
host.os.version
Operating system version as a raw string.
keyword
host.type
Type of host. For Cloud providers this can be the machine type like t2.medium. If vm, this could be the container, for example, or other information meaningful in your environment.
keyword
service.type
The type of the service data is collected from. The type can be used to group and correlate logs and metrics from one service type. Example: If logs or metrics are collected from Elasticsearch, service.type would be elasticsearch.
keyword

An example event for gke looks as following:

{
    "@timestamp": "2017-10-12T08:05:34.853Z",
    "cloud": {
        "account": {
            "id": "elastic-obs-integrations-dev",
            "name": "elastic-obs-integrations-dev"
        },
        "instance": {
            "id": "4751091017865185079",
            "name": "gke-cluster-1-default-pool-6617a8aa-5clh"
        },
        "machine": {
            "type": "e2-medium"
        },
        "provider": "gcp",
        "availability_zone": "us-central1-c",
        "region": "us-central1"
    },
    "event": {
        "dataset": "gcp.gke",
        "duration": 115000,
        "module": "gcp"
    },
    "gcp": {
        "gke": {
            "container": {
                "cpu": {
                    "core_usage_time": {
                        "sec": 15
                    }
                }
            }
        },
        "labels": {
            "user": {
                "goog-gke-node": ""
            }
        }
    },
    "host": {
        "id": "4751091017865185079",
        "name": "gke-cluster-1-default-pool-6617a8aa-5clh"
    },
    "metricset": {
        "name": "gke",
        "period": 10000
    },
    "service": {
        "type": "gcp"
    }
}

Loadbalancing Metrics

The loadbalancing_metrics dataset is designed to fetch HTTPS, HTTP, and Layer 3 metrics from Load Balancing in Google Cloud Platform.

Exported fields

FieldDescriptionTypeMetric Type
@timestamp
Event timestamp.
date
agent.id
Unique identifier of this agent (if one exists). Example: For Beats this would be beat.id.
keyword
cloud
Fields related to the cloud or infrastructure the events are coming from.
group
cloud.account.id
The cloud account or organization id used to identify different entities in a multi-tenant environment. Examples: AWS account id, Google Cloud ORG Id, or other unique identifier.
keyword
cloud.account.name
The cloud account name or alias used to identify different entities in a multi-tenant environment. Examples: AWS account name, Google Cloud ORG display name.
keyword
cloud.availability_zone
Availability zone in which this host, resource, or service is located.
keyword
cloud.image.id
Image ID for the cloud instance.
keyword
cloud.instance.id
Instance ID of the host machine.
keyword
cloud.instance.name
Instance name of the host machine.
keyword
cloud.machine.type
Machine type of the host machine.
keyword
cloud.project.id
Name of the project in Google Cloud.
keyword
cloud.provider
Name of the cloud provider. Example values are aws, azure, gcp, or digitalocean.
keyword
cloud.region
Region in which this host, resource, or service is located.
keyword
container.id
Unique container id.
keyword
container.image.name
Name of the image the container was built on.
keyword
container.labels
Image labels.
object
container.name
Container name.
keyword
data_stream.dataset
Data stream dataset.
constant_keyword
data_stream.namespace
Data stream namespace.
constant_keyword
data_stream.type
Data stream type.
constant_keyword
ecs.version
ECS version this event conforms to. ecs.version is a required field and must exist in all events. When querying across multiple indices -- which may conform to slightly different ECS versions -- this field lets integrations adjust to the schema version of the events.
keyword
error
These fields can represent errors of any kind. Use them for errors that happen while fetching events or in cases where the event itself contains an error.
group
error.message
Error message.
match_only_text
event.dataset
Event dataset
constant_keyword
event.module
Event module
constant_keyword
gcp.labels.metadata.*
object
gcp.labels.metrics.*
object
gcp.labels.resource.*
object
gcp.labels.system.*
object
gcp.labels.user.*
object
gcp.labels_fingerprint
Hashed value of the labels field.
keyword
gcp.loadbalancing_metrics.https.backend_latencies.value
A distribution of the latency calculated from when the request was sent by the proxy to the backend until the proxy received from the backend the last byte of response.
object
gcp.loadbalancing_metrics.https.backend_request.bytes
Delta of the number of bytes sent as requests from HTTP/S load balancer to backends.
long
gauge
gcp.loadbalancing_metrics.https.backend_request.count
Delta of the number of requests served by backends of HTTP/S load balancer.
long
gauge
gcp.loadbalancing_metrics.https.backend_response.bytes
Delta of the number of bytes sent as responses from backends (or cache) to external HTTP(S) load balancer.
long
gauge
gcp.loadbalancing_metrics.https.external.regional.backend_latencies.value
A distribution of the latency calculated from when the request was sent by the proxy to the backend until the proxy received from the backend the last byte of response.
object
gcp.loadbalancing_metrics.https.external.regional.total_latencies.value
A distribution of the latency calculated from when the request was received by the proxy until the proxy got ACK from client on last response byte.
object
gcp.loadbalancing_metrics.https.frontend_tcp_rtt.value
A distribution of the RTT measured for each connection between client and proxy.
object
gcp.loadbalancing_metrics.https.internal.backend_latencies.value
A distribution of the latency calculated from when the request was sent by the internal HTTP/S load balancer proxy to the backend until the proxy received from the backend the last byte of response.
object
gcp.loadbalancing_metrics.https.internal.total_latencies.value
A distribution of the latency calculated from when the request was received by the internal HTTP/S load balancer proxy until the proxy got ACK from client on last response byte.
object
gcp.loadbalancing_metrics.https.request.bytes
Delta of the number of bytes sent as requests from clients to HTTP/S load balancer.
long
gauge
gcp.loadbalancing_metrics.https.request.count
Delta of the number of requests served by HTTP/S load balancer.
long
gauge
gcp.loadbalancing_metrics.https.response.bytes
Delta of the number of bytes sent as responses from HTTP/S load balancer to clients.
long
gauge
gcp.loadbalancing_metrics.https.total_latencies.value
A distribution of the latency calculated from when the request was received by the external HTTP/S load balancer proxy until the proxy got ACK from client on last response byte.
object
gcp.loadbalancing_metrics.l3.external.egress.bytes
Delta of the number of bytes sent from external TCP/UDP network load balancer backend to client of the flow. For TCP flows it's counting bytes on application stream only.
long
gauge
gcp.loadbalancing_metrics.l3.external.egress_packets.count
Delta of the number of packets sent from external TCP/UDP network load balancer backend to client of the flow.
long
gauge
gcp.loadbalancing_metrics.l3.external.ingress.bytes
Delta of the number of bytes sent from client to external TCP/UDP network load balancer backend. For TCP flows it's counting bytes on application stream only.
long
gauge
gcp.loadbalancing_metrics.l3.external.ingress_packets.count
Delta of the number of packets sent from client to external TCP/UDP network load balancer backend.
long
gauge
gcp.loadbalancing_metrics.l3.external.rtt_latencies.value
A distribution of the round trip time latency, measured over TCP connections for the external network load balancer.
object
gcp.loadbalancing_metrics.l3.internal.egress.bytes
Delta of the number of bytes sent from ILB backend to client (for TCP flows it's counting bytes on application stream only).
long
gauge
gcp.loadbalancing_metrics.l3.internal.egress_packets.count
Delta of the number of packets sent from ILB backend to client of the flow.
long
gauge
gcp.loadbalancing_metrics.l3.internal.ingress.bytes
Delta of the number of bytes sent from client to ILB backend (for TCP flows it's counting bytes on application stream only).
long
gauge
gcp.loadbalancing_metrics.l3.internal.ingress_packets.count
Delta of the number of packets sent from client to ILB backend.
long
gauge
gcp.loadbalancing_metrics.l3.internal.rtt_latencies.value
A distribution of RTT measured over TCP connections for internal TCP/UDP load balancer flows.
object
gcp.loadbalancing_metrics.tcp_ssl_proxy.closed_connections.value
Delta of the number of connections that were terminated over TCP/SSL proxy.
long
gauge
gcp.loadbalancing_metrics.tcp_ssl_proxy.egress.bytes
Delta of the number of bytes sent from VM to client using proxy.
long
gauge
gcp.loadbalancing_metrics.tcp_ssl_proxy.frontend_tcp_rtt.value
A distribution of the smoothed RTT (in ms) measured by the proxy's TCP stack, each minute application layer bytes pass from proxy to client.
object
gcp.loadbalancing_metrics.tcp_ssl_proxy.ingress.bytes
Delta of the number of bytes sent from client to VM using proxy.
long
gauge
gcp.loadbalancing_metrics.tcp_ssl_proxy.new_connections.value
Delta of the number of connections that were created over TCP/SSL proxy.
long
gauge
gcp.loadbalancing_metrics.tcp_ssl_proxy.open_connections.value
Current number of outstanding connections through the TCP/SSL proxy.
long
gauge
gcp.metrics.*.*.*.*
Metrics that returned from Google Cloud API query.
object
host.architecture
Operating system architecture.
keyword
host.containerized
If the host is a container.
boolean
host.domain
Name of the domain of which the host is a member. For example, on Windows this could be the host's Active Directory domain or NetBIOS domain name. For Linux this could be the domain of the host's LDAP provider.
keyword
host.hostname
Hostname of the host. It normally contains what the hostname command returns on the host machine.
keyword
host.id
Unique host id. As hostname is not always unique, use values that are meaningful in your environment. Example: The current usage of beat.name.
keyword
host.ip
Host ip addresses.
ip
host.mac
Host mac addresses.
keyword
host.name
Name of the host. It can contain what hostname returns on Unix systems, the fully qualified domain name, or a name specified by the user. The sender decides which value to use.
keyword
host.os.build
OS build information.
keyword
host.os.codename
OS codename, if any.
keyword
host.os.family
OS family (such as redhat, debian, freebsd, windows).
keyword
host.os.kernel
Operating system kernel version as a raw string.
keyword
host.os.name
Operating system name, without the version.
keyword
host.os.name.text
Multi-field of host.os.name.
text
host.os.platform
Operating system platform (such centos, ubuntu, windows).
keyword
host.os.version
Operating system version as a raw string.
keyword
host.type
Type of host. For Cloud providers this can be the machine type like t2.medium. If vm, this could be the container, for example, or other information meaningful in your environment.
keyword
service.type
The type of the service data is collected from. The type can be used to group and correlate logs and metrics from one service type. Example: If logs or metrics are collected from Elasticsearch, service.type would be elasticsearch.
keyword

An example event for loadbalancing looks as following:

{
    "@timestamp": "2017-10-12T08:05:34.853Z",
    "cloud": {
        "account": {
            "id": "elastic-observability"
        },
        "provider": "gcp",
        "region": "us-central1",
        "availability_zone": "us-central1-a"
    },
    "event": {
        "dataset": "gcp.loadbalancing_metrics",
        "duration": 115000,
        "module": "gcp"
    },
    "gcp": {
        "labels": {
            "metrics": {
                "client_network": "ocp-be-c5kjr-network",
                "client_subnetwork": "ocp-be-c5kjr-worker-subnet",
                "client_zone": "us-central1-a"
            },
            "resource": {
                "backend_name": "ocp-be-c5kjr-master-us-central1-a",
                "backend_scope": "us-central1-a",
                "backend_scope_type": "ZONE",
                "backend_subnetwork_name": "ocp-be-c5kjr-master-subnet",
                "backend_target_name": "ocp-be-c5kjr-api-internal",
                "backend_target_type": "BACKEND_SERVICE",
                "backend_type": "INSTANCE_GROUP",
                "forwarding_rule_name": "ocp-be-c5kjr-api-internal",
                "load_balancer_name": "ocp-be-c5kjr-api-internal",
                "network_name": "ocp-be-c5kjr-network",
                "region": "us-central1"
            }
        },
        "loadbalancing_metrics": {
            "l3": {
                "internal": {
                    "egress_packets": {
                        "count": 100
                    },
                    "egress": {
                        "bytes": 1247589
                    }
                }
            }
        }
    },
    "metricset": {
        "name": "loadbalancing",
        "period": 10000
    },
    "service": {
        "type": "gcp"
    }
}

Redis

The redis dataset is designed to fetch metrics from GCP Memorystore for Redis in Google Cloud Platform.

Exported fields

FieldDescriptionTypeUnitMetric Type
@timestamp
Event timestamp.
date
agent.id
Unique identifier of this agent (if one exists). Example: For Beats this would be beat.id.
keyword
cloud
Fields related to the cloud or infrastructure the events are coming from.
group
cloud.account.id
The cloud account or organization id used to identify different entities in a multi-tenant environment. Examples: AWS account id, Google Cloud ORG Id, or other unique identifier.
keyword
cloud.account.name
The cloud account name or alias used to identify different entities in a multi-tenant environment. Examples: AWS account name, Google Cloud ORG display name.
keyword
cloud.availability_zone
Availability zone in which this host, resource, or service is located.
keyword
cloud.image.id
Image ID for the cloud instance.
keyword
cloud.instance.id
Instance ID of the host machine.
keyword
cloud.instance.name
Instance name of the host machine.
keyword
cloud.machine.type
Machine type of the host machine.
keyword
cloud.project.id
Name of the project in Google Cloud.
keyword
cloud.provider
Name of the cloud provider. Example values are aws, azure, gcp, or digitalocean.
keyword
cloud.region
Region in which this host, resource, or service is located.
keyword
container.id
Unique container id.
keyword
container.image.name
Name of the image the container was built on.
keyword
container.labels
Image labels.
object
container.name
Container name.
keyword
data_stream.dataset
Data stream dataset.
constant_keyword
data_stream.namespace
Data stream namespace.
constant_keyword
data_stream.type
Data stream type.
constant_keyword
ecs.version
ECS version this event conforms to. ecs.version is a required field and must exist in all events. When querying across multiple indices -- which may conform to slightly different ECS versions -- this field lets integrations adjust to the schema version of the events.
keyword
error
These fields can represent errors of any kind. Use them for errors that happen while fetching events or in cases where the event itself contains an error.
group
error.message
Error message.
match_only_text
event.dataset
Event dataset
constant_keyword
event.module
Event module
constant_keyword
gcp.labels.metadata.*
object
gcp.labels.metrics.*
object
gcp.labels.resource.*
object
gcp.labels.system.*
object
gcp.labels.user.*
object
gcp.labels_fingerprint
Hashed value of the labels field.
keyword
gcp.metrics.*.*.*.*
Metrics that returned from Google Cloud API query.
object
gcp.redis.clients.blocked.count
Number of blocked clients.
long
gauge
gcp.redis.clients.connected.count
Number of client connections.
long
gauge
gcp.redis.commands.calls.count
Delta of the number of calls for this command in one minute.
long
gauge
gcp.redis.commands.total_time.us
Delta of the amount of time in microseconds that this command took in the last second.
long
micros
gauge
gcp.redis.commands.usec_per_call.sec
Average time per call over 1 minute by command.
double
s
gauge
gcp.redis.keyspace.avg_ttl.sec
Average TTL for keys in this database.
double
s
gauge
gcp.redis.keyspace.keys.count
Number of keys stored in this database.
long
gauge
gcp.redis.keyspace.keys_with_expiration.count
Number of keys with an expiration in this database.
long
gauge
gcp.redis.persistence.rdb.bgsave_in_progress
Flag indicating a RDB save is on-going.
long
gauge
gcp.redis.replication.master.slaves.lag.sec
The number of seconds that replica is lagging behind primary.
long
s
gauge
gcp.redis.replication.master.slaves.offset.bytes
The number of bytes that have been acknowledged by replicas.
long
byte
gauge
gcp.redis.replication.master_repl_offset.bytes
The number of bytes that master has produced and sent to replicas.
long
byte
gauge
gcp.redis.replication.offset_diff.bytes
The largest number of bytes that have not been replicated across all replicas. This is the biggest difference between replication byte offset (master) and replication byte offset (replica) of all replicas.
long
byte
gauge
gcp.redis.replication.role
Returns a value indicating the node role. 1 indicates primary and 0 indicates replica.
long
gauge
gcp.redis.server.uptime.sec
Uptime in seconds.
long
s
gauge
gcp.redis.stats.cache_hit_ratio
Cache Hit ratio as a fraction.
double
gauge
gcp.redis.stats.connections.total.count
Delta of the total number of connections accepted by the server.
long
gauge
gcp.redis.stats.cpu_utilization.sec
CPU-seconds consumed by the Redis server, broken down by system/user space and parent/child relationship.
double
s
gauge
gcp.redis.stats.evicted_keys.count
Delta of the number of evicted keys due to maxmemory limit.
long
gauge
gcp.redis.stats.expired_keys.count
Delta of the total number of key expiration events.
long
gauge
gcp.redis.stats.keyspace_hits.count
Delta of the number of successful lookup of keys in the main dictionary.
long
gauge
gcp.redis.stats.keyspace_misses.count
Delta of the number of failed lookup of keys in the main dictionary.
long
gauge
gcp.redis.stats.memory.maxmemory.mb
Maximum amount of memory Redis can consume.
long
m
gauge
gcp.redis.stats.memory.system_memory_overload_duration.us
The amount of time in microseconds the instance is in system memory overload mode.
long
micros
gauge
gcp.redis.stats.memory.system_memory_usage_ratio
Memory usage as a ratio of maximum system memory.
double
gauge
gcp.redis.stats.memory.usage.bytes
Total number of bytes allocated by Redis.
long
byte
gauge
gcp.redis.stats.memory.usage_ratio
Memory usage as a ratio of maximum memory.
double
gauge
gcp.redis.stats.network_traffic.bytes
Delta of the total number of bytes sent to/from redis (includes bytes from commands themselves, payload data, and delimiters).
long
byte
gauge
gcp.redis.stats.pubsub.channels.count
Global number of pub/sub channels with client subscriptions.
long
gauge
gcp.redis.stats.pubsub.patterns.count
Global number of pub/sub pattern with client subscriptions.
long
gauge
gcp.redis.stats.reject_connections.count
Number of connections rejected because of maxclients limit.
long
gauge
host.architecture
Operating system architecture.
keyword
host.containerized
If the host is a container.
boolean
host.domain
Name of the domain of which the host is a member. For example, on Windows this could be the host's Active Directory domain or NetBIOS domain name. For Linux this could be the domain of the host's LDAP provider.
keyword
host.hostname
Hostname of the host. It normally contains what the hostname command returns on the host machine.
keyword
host.id
Unique host id. As hostname is not always unique, use values that are meaningful in your environment. Example: The current usage of beat.name.
keyword
host.ip
Host ip addresses.
ip
host.mac
Host mac addresses.
keyword
host.name
Name of the host. It can contain what hostname returns on Unix systems, the fully qualified domain name, or a name specified by the user. The sender decides which value to use.
keyword
host.os.build
OS build information.
keyword
host.os.codename
OS codename, if any.
keyword
host.os.family
OS family (such as redhat, debian, freebsd, windows).
keyword
host.os.kernel
Operating system kernel version as a raw string.
keyword
host.os.name
Operating system name, without the version.
keyword
host.os.name.text
Multi-field of host.os.name.
text
host.os.platform
Operating system platform (such centos, ubuntu, windows).
keyword
host.os.version
Operating system version as a raw string.
keyword
host.type
Type of host. For Cloud providers this can be the machine type like t2.medium. If vm, this could be the container, for example, or other information meaningful in your environment.
keyword
service.type
The type of the service data is collected from. The type can be used to group and correlate logs and metrics from one service type. Example: If logs or metrics are collected from Elasticsearch, service.type would be elasticsearch.
keyword

An example event for redis looks as following:

{
    "@timestamp": "2017-10-12T08:05:34.853Z",
    "cloud": {
        "account": {
            "id": "elastic-obs-integrations-dev",
            "name": "elastic-obs-integrations-dev"
        },
        "instance": {
            "id": "4751091017865185079",
            "name": "gke-cluster-1-default-pool-6617a8aa-5clh"
        },
        "machine": {
            "type": "e2-medium"
        },
        "provider": "gcp",
        "availability_zone": "us-central1-c",
        "region": "us-central1"
    },
    "event": {
        "dataset": "gcp.redis",
        "duration": 115000,
        "module": "gcp"
    },
    "gcp": {
        "redis": {
            "clients": {
                "blocked": {
                    "count": 4
                }
            }
        },
        "labels": {
            "user": {
                "goog-gke-node": ""
            }
        }
    },
    "host": {
        "id": "4751091017865185079",
        "name": "gke-cluster-1-default-pool-6617a8aa-5clh"
    },
    "metricset": {
        "name": "metrics",
        "period": 10000
    },
    "service": {
        "type": "gcp"
    }
}

Storage

The storage dataset fetches metrics from Storage in Google Cloud Platform.

Exported fields

FieldDescriptionTypeMetric Type
@timestamp
Event timestamp.
date
agent.id
Unique identifier of this agent (if one exists). Example: For Beats this would be beat.id.
keyword
cloud
Fields related to the cloud or infrastructure the events are coming from.
group
cloud.account.id
The cloud account or organization id used to identify different entities in a multi-tenant environment. Examples: AWS account id, Google Cloud ORG Id, or other unique identifier.
keyword
cloud.account.name
The cloud account name or alias used to identify different entities in a multi-tenant environment. Examples: AWS account name, Google Cloud ORG display name.
keyword
cloud.availability_zone
Availability zone in which this host, resource, or service is located.
keyword
cloud.image.id
Image ID for the cloud instance.
keyword
cloud.instance.id
Instance ID of the host machine.
keyword
cloud.instance.name
Instance name of the host machine.
keyword
cloud.machine.type
Machine type of the host machine.
keyword
cloud.project.id
Name of the project in Google Cloud.
keyword
cloud.provider
Name of the cloud provider. Example values are aws, azure, gcp, or digitalocean.
keyword
cloud.region
Region in which this host, resource, or service is located.
keyword
container.id
Unique container id.
keyword
container.image.name
Name of the image the container was built on.
keyword
container.labels
Image labels.
object
container.name
Container name.
keyword
data_stream.dataset
Data stream dataset.
constant_keyword
data_stream.namespace
Data stream namespace.
constant_keyword
data_stream.type
Data stream type.
constant_keyword
ecs.version
ECS version this event conforms to. ecs.version is a required field and must exist in all events. When querying across multiple indices -- which may conform to slightly different ECS versions -- this field lets integrations adjust to the schema version of the events.
keyword
error
These fields can represent errors of any kind. Use them for errors that happen while fetching events or in cases where the event itself contains an error.
group
error.message
Error message.
match_only_text
event.dataset
Event dataset
constant_keyword
event.module
Event module
constant_keyword
gcp.labels.metadata.*
object
gcp.labels.metrics.*
object
gcp.labels.resource.*
object
gcp.labels.system.*
object
gcp.labels.user.*
object
gcp.labels_fingerprint
Hashed value of the labels field.
keyword
gcp.metrics.*.*.*.*
Metrics that returned from Google Cloud API query.
object
gcp.storage.api.request.count
Delta count of API calls, grouped by the API method name and response code.
long
gauge
gcp.storage.authz.acl_based_object_access.count
Delta count of requests that result in an object being granted access solely due to object ACLs.
long
gauge
gcp.storage.authz.acl_operations.count
Usage of ACL operations broken down by type.
long
gauge
gcp.storage.authz.object_specific_acl_mutation.count
Delta count of changes made to object specific ACLs.
long
gauge
gcp.storage.network.received.bytes
Delta count of bytes received over the network, grouped by the API method name and response code.
long
gauge
gcp.storage.network.sent.bytes
Delta count of bytes sent over the network, grouped by the API method name and response code.
long
gauge
gcp.storage.storage.object.count
Total number of objects per bucket, grouped by storage class. This value is measured once per day, and the value is repeated at each sampling interval throughout the day.
long
gauge
gcp.storage.storage.total.bytes
Total size of all objects in the bucket, grouped by storage class. This value is measured once per day, and the value is repeated at each sampling interval throughout the day.
long
gauge
gcp.storage.storage.total_byte_seconds.bytes
Delta count of bytes received over the network, grouped by the API method name and response code.
long
gauge
host.architecture
Operating system architecture.
keyword
host.containerized
If the host is a container.
boolean
host.domain
Name of the domain of which the host is a member. For example, on Windows this could be the host's Active Directory domain or NetBIOS domain name. For Linux this could be the domain of the host's LDAP provider.
keyword
host.hostname
Hostname of the host. It normally contains what the hostname command returns on the host machine.
keyword
host.id
Unique host id. As hostname is not always unique, use values that are meaningful in your environment. Example: The current usage of beat.name.
keyword
host.ip
Host ip addresses.
ip
host.mac
Host mac addresses.
keyword
host.name
Name of the host. It can contain what hostname returns on Unix systems, the fully qualified domain name, or a name specified by the user. The sender decides which value to use.
keyword
host.os.build
OS build information.
keyword
host.os.codename
OS codename, if any.
keyword
host.os.family
OS family (such as redhat, debian, freebsd, windows).
keyword
host.os.kernel
Operating system kernel version as a raw string.
keyword
host.os.name
Operating system name, without the version.
keyword
host.os.name.text
Multi-field of host.os.name.
text
host.os.platform
Operating system platform (such centos, ubuntu, windows).
keyword
host.os.version
Operating system version as a raw string.
keyword
host.type
Type of host. For Cloud providers this can be the machine type like t2.medium. If vm, this could be the container, for example, or other information meaningful in your environment.
keyword
service.type
The type of the service data is collected from. The type can be used to group and correlate logs and metrics from one service type. Example: If logs or metrics are collected from Elasticsearch, service.type would be elasticsearch.
keyword

An example event for storage looks as following:

{
    "@timestamp": "2017-10-12T08:05:34.853Z",
    "cloud": {
        "account": {
            "id": "elastic-obs-integrations-dev",
            "name": "elastic-obs-integrations-dev"
        },
        "instance": {
            "id": "4751091017865185079",
            "name": "gke-cluster-1-default-pool-6617a8aa-5clh"
        },
        "machine": {
            "type": "e2-medium"
        },
        "provider": "gcp",
        "availability_zone": "us-central1-c",
        "region": "us-central1"
    },
    "event": {
        "dataset": "gcp.storage",
        "duration": 115000,
        "module": "gcp"
    },
    "gcp": {
        "storage": {
            "storage": {
                "total": {
                    "bytes": 4472520191
                }
            },
            "network": {
                "received": {
                    "bytes": 4472520191
                }
            }
        },
        "labels": {
            "user": {
                "goog-gke-node": ""
            }
        }
    },
    "host": {
        "id": "4751091017865185079",
        "name": "gke-cluster-1-default-pool-6617a8aa-5clh"
    },
    "metricset": {
        "name": "storage",
        "period": 10000
    },
    "service": {
        "type": "gcp"
    }
}

Changelog

VersionDetailsKibana version(s)

2.33.2

Enhancement View pull request
Add tags and processors to GCP Storage

8.12.0 or higher

2.33.1

Enhancement View pull request
Update Legacy metric visualization to new metric in GCP Billing overview dashboard.

8.12.0 or higher

2.33.0

Enhancement View pull request
Enable time series data for metrics data streams. This dramatically reduces storage for metrics and is expected to progressively improve query performance. For more details, see https://www.elastic.co/guide/en/elasticsearch/reference/current/tsds.html.

8.12.0 or higher

2.32.1

Enhancement View pull request
Add dimensions mappings and the metrics_fingerprint field across all metrics data streams.

8.12.0 or higher

2.32.0

Enhancement View pull request
Add new billing data stream fields.

8.12.0 or higher

2.31.2

Bug fix View pull request
Fix pipeline error parsing DNS logs with empty rdata field.

8.7.1 or higher

2.31.1

Enhancement View pull request
Add Cloud Run docs and fix policy template name to allow adding Cloud Run logs to the policy.

8.7.1 or higher

2.31.0

Enhancement View pull request
Allow users to retain otherwised discarded fields.

8.7.1 or higher

2.30.1

Bug fix View pull request
Fix mappings of group fields

8.7.1 or higher

2.30.0

Enhancement View pull request
Add tags.yml file so that integration's dashboards and saved searches are tagged with "Security Solution" and displayed in the Security Solution UI.

Enhancement View pull request
Upgrade package spec to 3.0.0.

Bug fix View pull request
Fix orphan dashboard references.

Bug fix View pull request
Add missing dashboard filters.

8.7.1 or higher

2.29.1

Bug fix View pull request
Add null checks and ignore_missing checks to the rename processor

8.7.1 or higher

2.29.0

Bug fix View pull request
Remove GCP CloudSQL deprecated, alpha or beta metrics and fix field types.

8.7.1 or higher

2.28.5

Enhancement View pull request
Set metric type for GKE, Load Balancing, PubSub, Redis and Storage data streams.

8.7.1 or higher

2.28.4

Enhancement View pull request
Migrate GCP Load Balancing HTTPS Overview dashboard to lens.

8.7.1 or higher

2.28.3

Enhancement View pull request
Set metric type for Cloud Run, Compute, Dataproc and Firestore data streams.

8.7.1 or higher

2.28.2

Enhancement View pull request
Migrate GCP Load Balancing TCP SSL Proxy Overview dashboard to lens.

8.7.1 or higher

2.28.1

Enhancement View pull request
Set metric type for CloudSQL data streams.

8.7.1 or higher

2.28.0

Enhancement View pull request
Migrate GCP Load Balancing L3 Overview dashboard to lens.

8.7.1 or higher

2.27.0

Enhancement View pull request
Add GCP CloudSQL MySQL, SQL Server and PostgreSQL dashboards.

8.7.1 or higher

2.26.0

Bug fix View pull request
Fix GCP loadbalancing_metrics fields prefix.

8.7.1 or higher

2.25.1

Bug fix View pull request
Fix check on gcp.audit.authorization_info[].granted.

8.7.1 or higher

2.25.0

Enhancement View pull request
Migrate GCP Billing input control to new control panel.

8.7.1 or higher

2.24.0

Enhancement View pull request
Add GCP CloudSQL MySQL, Postgres, SQLServer data streams

8.7.1 or higher

2.23.0

Enhancement View pull request
Convert security dashboards to lens.

8.7.1 or higher

2.22.1

Enhancement View pull request
Change ownership in manifest.

8.6.0 or higher

2.22.0

Enhancement View pull request
Ensure event.kind is correctly set for pipeline errors.

8.6.0 or higher

2.21.0

Enhancement View pull request
Update package to ECS 8.8.0.

8.6.0 or higher

2.20.1

Bug fix View pull request
Fix invalid TSDS metric type for persistence.rdb.bgsave_in_progress field

8.6.0 or higher

2.20.0

Enhancement View pull request
Update package to ECS 8.7.0.

8.6.0 or higher

2.19.1

Enhancement View pull request
Migrate compute dashboard to lens and add datastream filter.

8.6.0 or higher

2.19.0

Enhancement View pull request
Add Cloud Run metrics datastream.

8.6.0 or higher

2.18.0

Enhancement View pull request
Support subscription_num_goroutines and subscription_max_outstanding_messages for GCP PubSub input

8.6.0 or higher

2.17.2

Bug fix View pull request
Fix IP Convert processor in Audit ingest pipeline.

8.6.0 or higher

2.17.1

Enhancement View pull request
Added categories and/or subcategories.

8.6.0 or higher

2.17.0

Enhancement View pull request
Add Audit Log Overview dashboard

Enhancement View pull request
Add GKE Overview dashboard

Enhancement View pull request
Add PubSub Overview dashboard

Enhancement View pull request
Add Storage Overview dashboard

8.6.0 or higher

2.16.2

Bug fix View pull request
Add logic to handle scalar request.policy values on audit

8.5.0 or higher

2.16.1

Bug fix View pull request
Replace missing input control panel with new-style control.

8.5.0 or higher

2.16.0

Enhancement View pull request
Update package to ECS 8.6.0.

8.5.0 or higher

2.15.2

Enhancement View pull request
Update documentation.

8.5.0 or higher

2.15.1

Enhancement View pull request
Add GCP Compute pipeline test.

8.5.0 or higher

2.15.0

Enhancement View pull request
Remove support for Kibana 7.17.x

Enhancement View pull request
Support multiple regions for metrics data streams

8.5.0 or higher

2.14.0

Enhancement View pull request
Update package to ECS 8.5.0.

8.3.0 or higher

2.13.0

Enhancement View pull request
Migrate dashboard by values

8.3.0 or higher

2.12.1

Bug fix View pull request
Remove duplicate fields.

7.17.6 or higher
8.3.0 or higher

2.12.0

Enhancement View pull request
Add GCP Redis

7.17.6 or higher
8.3.0 or higher

2.11.12

Bug fix View pull request
Add GKE ingest pipeline.

7.17.6 or higher
8.3.0 or higher

2.11.11

Bug fix View pull request
Fix type of dns.answers.ttl.

7.17.6 or higher
8.3.0 or higher

2.11.10

Enhancement View pull request
Add ingest pipeline for dataproc.

Enhancement View pull request
Add GCP loadbalancing ingest pipeline

Enhancement View pull request
Add GCP PubSub ingest pipeline

Enhancement View pull request
Add GCP Storage ingest pipeline

Enhancement View pull request
Add GCP Firestore ingest pipeline

Enhancement View pull request
Add GCP Compute ingest pipeline

7.17.6 or higher
8.3.0 or higher

2.11.10-beta.6

Enhancement View pull request
Add ingest pipeline for dataproc.

—

2.11.10-beta.5

Enhancement View pull request
Add GCP loadbalancing ingest pipeline

—

2.11.10-beta.4

Enhancement View pull request
Add GCP PubSub ingest pipeline

—

2.11.10-beta.3

Enhancement View pull request
Add GCP Storage ingest pipeline

—

2.11.10-beta.2

Enhancement View pull request
Add GCP Firestore ingest pipeline

—

2.11.10-beta.1

Enhancement View pull request
Add GCP Compute ingest pipeline

—

2.11.9

Bug fix View pull request
Fix GKE kubernetes.io indentation.

7.17.6 or higher
8.3.0 or higher

2.11.8

Enhancement View pull request
Remove duplicate fields.

7.17.6 or higher
8.3.0 or higher

2.11.7

Enhancement View pull request
Move Dataproc lightweight module config into integration

7.17.6 or higher
8.3.0 or higher

2.11.6

Enhancement View pull request
Move LoadBalancing lightweight module config into integration

7.17.6 or higher
8.3.0 or higher

2.11.5

Enhancement View pull request
Move Storage lightweight module config into integration

7.17.6 or higher
8.3.0 or higher

2.11.4

Enhancement View pull request
Move PubSub lightweight module config into integration

7.17.6 or higher
8.3.0 or higher

2.11.3

Enhancement View pull request
Move GKE lightweight module config into integration

7.17.6 or higher
8.3.0 or higher

2.11.2

Enhancement View pull request
Move Firestore lightweight module config into integration

7.17.6 or higher
8.3.0 or higher

2.11.1

Enhancement View pull request
Use ECS geo.location definition.

7.17.6 or higher
8.3.0 or higher

2.11.0

Enhancement View pull request
Move Compute lightweight module config into integration

7.17.6 or higher
8.3.0 or higher

2.10.0

Enhancement View pull request
Add GCP PubSub Data stream

7.17.6 or higher
8.3.0 or higher

2.9.0

Enhancement View pull request
Add GCP Dataproc Data stream

7.17.6 or higher
8.3.0 or higher

2.8.0

Enhancement View pull request
Add GCP GKE Data Stream

7.17.6 or higher
8.3.0 or higher

2.7.0

Enhancement View pull request
Add GCP Storage Data Stream

7.17.6 or higher
8.3.0 or higher

2.6.0

Enhancement View pull request
Add Load Balancing logs datastream

7.17.6 or higher
8.3.0 or higher

2.5.0

Enhancement View pull request
Add GCP Load Balancing Metricset

Bug fix View pull request
Fix credentials_json escaping in loadbalancing_metrics

Bug fix View pull request
Update loadbalancing_metrics default period to 60s

Bug fix View pull request
Fix event.dataset for loadbalancing_metrics

Enhancement View pull request
Add loadbalancing_metrics distribution fields

7.17.6 or higher
8.3.0 or higher

2.4.0

Enhancement View pull request
Update package to ECS 8.4.0

7.17.6 or higher
8.3.0 or higher

2.3.0

Enhancement View pull request
Add additional parsing for DNS Public Zone Query Logs

7.17.6 or higher
8.3.0 or higher

2.2.1

Enhancement View pull request
Fix Billing policy template title and default period for gcp.compute

7.17.6 or higher
8.3.0 or higher

2.2.0

Enhancement View pull request
Remove fields duplicated in ECS fields

7.17.6 or higher
8.3.0 or higher

2.1.0

Enhancement View pull request
restore compatibility with 7.17 release track

7.17.6 or higher
8.3.0 or higher

2.0.0

Breaking change View pull request
Move configurations to support metrics. This change is breaking, as it moves
some configuration from the top level variables to data stream variables.

This change involves project_id, credentials_file and credentials_json
variables that are moved from input level configuration to package level
configuration (as those variables are reused across all inputs/data streams).

Users with GCP integration enabled will need to input values for these
variables again when upgrading the policies to this version.

Enhancement View pull request
Add GCP Billing Data Stream

Enhancement View pull request
Add GCP Compute Data Stream

Enhancement View pull request
Add GCP Firestore Data stream

8.3.0 or higher

1.10.0

Enhancement View pull request
Update package to ECS 8.3.0.

7.17.0 or higher
8.0.0 or higher

1.9.2

Bug fix View pull request
Fix GCP auditlog parsing issue on response status

7.17.0 or higher
8.0.0 or higher

1.9.1

Enhancement View pull request
Update readme

7.17.0 or higher
8.0.0 or higher

1.9.0

Enhancement View pull request
Preserve request and response in flattened fields.

7.17.0 or higher
8.0.0 or higher

1.8.0

Enhancement View pull request
Add missing cloud.provider field.

7.17.0 or higher
8.0.0 or higher

1.7.0

Enhancement View pull request
Add dashboards for firewall and vpc flow logs.

Bug fix View pull request
Add missing mappings for several event.* fields.

—

1.6.1

Enhancement View pull request
Clarify the GCP privileges required by the Pub/Sub input.

7.16.3 or higher
8.0.0 or higher

1.6.0

Enhancement View pull request
Update to ECS 8.2

—

1.5.1

Enhancement View pull request
Add documentation for multi-fields

7.16.3 or higher
8.0.0 or higher

1.5.0

Enhancement View pull request
Improve Google Cloud Platform docs.

7.16.3 or higher
8.0.0 or higher

1.4.2

Bug fix View pull request
Remove emtpy values, names with only dots, and invalid client IPs.

7.16.3 or higher
8.0.0 or higher

1.4.1

Bug fix View pull request
Fix quoting of the credentials_json value in policy templates.

7.16.3 or higher
8.0.0 or higher

1.4.0

Enhancement View pull request
Add gcp.dns integration

—

1.3.1

Bug fix View pull request
Add Ingest Pipeline script to map IANA Protocol Numbers

7.15.0 or higher
8.0.0 or higher

1.3.0

Enhancement View pull request
Update to ECS 8.0

7.15.0 or higher
8.0.0 or higher

1.2.2

Bug fix View pull request
Regenerate test files using the new GeoIP database

7.15.0 or higher
8.0.0 or higher

1.2.1

Bug fix View pull request
Change test public IPs to the supported subset

—

1.2.0

Enhancement View pull request
Add 8.0.0 version constraint

7.15.0 or higher
8.0.0 or higher

1.1.2

Enhancement View pull request
Update Title and Description.

7.15.0 or higher

1.1.1

Bug fix View pull request
Fix logic that checks for the 'forwarded' tag

—

1.1.0

Enhancement View pull request
Update to ECS 1.12.0

7.15.0 or higher

1.0.0

Enhancement View pull request
Move from experimental to GA

Enhancement View pull request
remove experimental from data_sets

—

0.3.3

Enhancement View pull request
Convert to generated ECS fields

—

0.3.2

Enhancement View pull request
update to ECS 1.11.0

—

0.3.1

Enhancement View pull request
Escape special characters in docs

—

0.3.0

Enhancement View pull request
Update integration description

—

0.2.0

Enhancement View pull request
Set "event.module" and "event.dataset"

—

0.1.0

Enhancement View pull request
update to ECS 1.10.0 and adding event.original options

—

0.0.2

Enhancement View pull request
update to ECS 1.9.0

—

0.0.1

Enhancement View pull request
initial release

—

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