Kafka

Collect logs and metrics from Kafka servers with Elastic Agent.


Version	1.13.0 (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

This integration collects logs and metrics from Kafka servers.

Compatibility

The log dataset is tested with logs from Kafka 0.9, 1.1.0 and 2.0.0.

The broker, consumergroup, partition and producer metricsets are tested with Kafka 0.10.2.1, 1.1.0, 2.1.1, and 2.2.2.

The broker metricset requires Jolokia to fetch JMX metrics. Refer to the Metricbeat documentation about Jolokia for more information.

Logs

log

The log dataset collects and parses logs from Kafka servers.

Exported fields

Field	Description	Type
@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
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.message	Error message.	match_only_text
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.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
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
kafka.log.class	Java class the log is coming from.	keyword
kafka.log.component	Component the log is coming from.	keyword
kafka.log.thread	Thread name the log is coming from.	keyword
kafka.log.trace.class	Java class the trace is coming from.	keyword
kafka.log.trace.message	Message part of the trace.	text
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
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
tags	List of keywords used to tag each event.	keyword

Metrics

broker

The broker dataset collects JMX metrics from Kafka brokers using Jolokia.

An example event for broker looks as following:

{
    "@timestamp": "2020-05-15T15:12:12.270Z",
    "service": {
        "address": "localhost:8778",
        "type": "kafka"
    },
    "kafka": {
        "broker": {
            "mbean": "kafka.server:name=BytesOutPerSec,topic=messages,type=BrokerTopicMetrics",
            "topic": {
                "net": {
                    "out": {
                        "bytes_per_sec": 0.6089809926927563
                    }
                }
            }
        }
    },
    "event": {
        "dataset": "kafka.broker",
        "module": "kafka",
        "duration": 4572918
    },
    "metricset": {
        "period": 10000,
        "name": "broker"
    },
    "ecs": {
        "version": "8.5.1"
    },
    "agent": {
        "id": "5aba67f2-2050-4d19-8953-ba20f0a5483c",
        "name": "kafka-01",
        "type": "metricbeat",
        "version": "8.0.0",
        "ephemeral_id": "178ff0e9-e3dd-4bdf-8e3d-8f67a6bd72ef"
    }
}

Exported fields

Field	Description	Type	Metric Type
@timestamp	Event timestamp.	date
agent.id		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
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
event.dataset	Event dataset	constant_keyword
event.module	Event module	constant_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
kafka.broker.address	Broker advertised address	keyword
kafka.broker.id	Broker id	long
kafka.broker.log.flush_rate	The log flush rate	float	gauge
kafka.broker.mbean	Mbean that this event is related to	keyword
kafka.broker.messages_in	The incoming message rate	float	gauge
kafka.broker.net.in.bytes_per_sec	The incoming byte rate	float	gauge
kafka.broker.net.out.bytes_per_sec	The outgoing byte rate	float	gauge
kafka.broker.net.rejected.bytes_per_sec	The rejected byte rate	float	gauge
kafka.broker.replication.leader_elections	The leader election rate	float	gauge
kafka.broker.replication.unclean_leader_elections	The unclean leader election rate	float	gauge
kafka.broker.request.channel.queue.size	The size of the request queue	long	gauge
kafka.broker.request.fetch.failed	The number of client fetch request failures	float	counter
kafka.broker.request.fetch.failed_per_second	The rate of client fetch request failures per second	float	gauge
kafka.broker.request.produce.failed	The number of failed produce requests	float	counter
kafka.broker.request.produce.failed_per_second	The rate of failed produce requests per second	float	gauge
kafka.broker.session.zookeeper.disconnect	The ZooKeeper closed sessions per second	float	gauge
kafka.broker.session.zookeeper.expire	The ZooKeeper expired sessions per second	float	gauge
kafka.broker.session.zookeeper.readonly	The ZooKeeper readonly sessions per second	float	gauge
kafka.broker.session.zookeeper.sync	The ZooKeeper client connections per second	float	gauge
kafka.broker.topic.messages_in	The incoming message rate per topic	float	gauge
kafka.broker.topic.net.in.bytes_per_sec	The incoming byte rate per topic	float	gauge
kafka.broker.topic.net.out.bytes_per_sec	The outgoing byte rate per topic	float	gauge
kafka.broker.topic.net.rejected.bytes_per_sec	The rejected byte rate per topic	float	gauge
kafka.partition.id	Partition id.	long
kafka.partition.topic_broker_id	Unique id of the partition in the topic and the broker.	keyword
kafka.partition.topic_id	Unique id of the partition in the topic.	keyword
kafka.topic.error.code	Topic error code.	long
kafka.topic.name	Topic name	keyword
service.address	Address where data about this service was collected from. This should be a URI, network address (ipv4:port or [ipv6]:port) or a resource path (sockets).	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

consumergroup

An example event for consumergroup looks as following:

{
    "@timestamp": "2020-05-15T15:18:13.919Z",
    "agent": {
        "name": "kafka-01",
        "type": "metricbeat",
        "version": "8.0.0",
        "ephemeral_id": "178ff0e9-e3dd-4bdf-8e3d-8f67a6bd72ef",
        "id": "5aba67f2-2050-4d19-8953-ba20f0a5483c"
    },
    "ecs": {
        "version": "8.5.1"
    },
    "kafka": {
        "consumergroup": {
            "error": {
                "code": 0
            },
            "id": "console-consumer-99447",
            "offset": -1,
            "consumer_lag": 112,
            "client": {
                "member_id": "consumer-console-consumer-99447-1-208fdf91-2f28-4336-a2ff-5e5f4b8b71e4",
                "id": "consumer-console-consumer-99447-1",
                "host": "127.0.0.1"
            },
            "meta": ""
        },
        "broker": {
            "id": 0,
            "address": "kafka-01:9092"
        },
        "topic": {
            "name": "messages"
        },
        "partition": {
            "id": 0,
            "topic_id": "0-messages"
        }
    },
    "event": {
        "dataset": "kafka.consumergroup",
        "module": "kafka",
        "duration": 8821045
    },
    "metricset": {
        "period": 10000,
        "name": "consumergroup"
    },
    "service": {
        "address": "localhost:9092",
        "type": "kafka"
    }
}

Exported fields

Field	Description	Type	Metric Type
@timestamp	Event timestamp.	date
agent.id		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
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
event.dataset	Event dataset	constant_keyword
event.module	Event module	constant_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
kafka.broker.address	Broker advertised address	keyword
kafka.broker.id	Broker id	long
kafka.consumergroup.client.host	Client host	keyword
kafka.consumergroup.client.id	Client ID (kafka setting client.id)	keyword
kafka.consumergroup.client.member_id	internal consumer group member ID	keyword
kafka.consumergroup.consumer_lag	consumer lag for partition/topic calculated as the difference between the partition offset and consumer offset	long	gauge
kafka.consumergroup.error.code	kafka consumer/partition error code.	long
kafka.consumergroup.id	Consumer Group ID	keyword
kafka.consumergroup.meta	custom consumer meta data string	keyword
kafka.consumergroup.offset	consumer offset into partition being read	long	gauge
kafka.partition.id	Partition id.	long
kafka.partition.topic_broker_id	Unique id of the partition in the topic and the broker.	keyword
kafka.partition.topic_id	Unique id of the partition in the topic.	keyword
kafka.topic.error.code	Topic error code.	long
kafka.topic.name	Topic name	keyword
service.address	Address where data about this service was collected from. This should be a URI, network address (ipv4:port or [ipv6]:port) or a resource path (sockets).	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

partition

An example event for partition looks as following:

{
    "@timestamp": "2020-05-15T15:19:44.240Z",
    "metricset": {
        "name": "partition",
        "period": 10000
    },
    "service": {
        "address": "localhost:9092",
        "type": "kafka"
    },
    "kafka": {
        "partition": {
            "offset": {
                "oldest": 0,
                "newest": 111
            },
            "id": 0,
            "topic_id": "0-messages",
            "topic_broker_id": "0-messages-0",
            "partition": {
                "is_leader": true,
                "insync_replica": true,
                "leader": 0,
                "replica": 0
            }
        },
        "broker": {
            "address": "kafka-01:9092",
            "id": 0
        },
        "topic": {
            "name": "messages"
        }
    },
    "ecs": {
        "version": "8.5.1"
    },
    "agent": {
        "ephemeral_id": "178ff0e9-e3dd-4bdf-8e3d-8f67a6bd72ef",
        "id": "5aba67f2-2050-4d19-8953-ba20f0a5483c",
        "name": "kafka-01",
        "type": "metricbeat",
        "version": "8.0.0"
    },
    "event": {
        "dataset": "kafka.partition",
        "module": "kafka",
        "duration": 11263377
    }
}

Exported fields

Field	Description	Type	Metric Type
@timestamp	Event timestamp.	date
agent.id		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
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
event.dataset	Event dataset	constant_keyword
event.duration	Duration of the event in nanoseconds. If event.start and event.end are known this value should be the difference between the end and start time.	long
event.module	Event module	constant_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
kafka.broker.address	Broker advertised address	keyword
kafka.broker.id	Broker id	long
kafka.partition.id	Partition id.	long
kafka.partition.offset.newest	Newest offset of the partition.	long	gauge
kafka.partition.offset.oldest	Oldest offset of the partition.	long	gauge
kafka.partition.partition.error.code	Error code from fetching partition.	long
kafka.partition.partition.insync_replica	Indicates if replica is included in the in-sync replicate set (ISR).	boolean
kafka.partition.partition.is_leader	Indicates if replica is the leader	boolean
kafka.partition.partition.leader	Leader id (broker).	long
kafka.partition.partition.replica	Replica id (broker).	long
kafka.partition.topic_broker_id	Unique id of the partition in the topic and the broker.	keyword
kafka.partition.topic_id	Unique id of the partition in the topic.	keyword
kafka.topic.error.code	Topic error code.	long
kafka.topic.name	Topic name	keyword
service.address	Address where data about this service was collected from. This should be a URI, network address (ipv4:port or [ipv6]:port) or a resource path (sockets).	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

Changelog

Version	Details	Kibana version(s)
1.13.0	Enhancement View pull request Enable secrets for sensitive fields. For more details, refer https://www.elastic.co/guide/en/fleet/current/agent-policy.html#agent-policy-secret-values	8.12.0 or higher
1.12.1	Bug fix View pull request Disable secrets for older stack versions due to errors.	8.8.0 or higher
1.12.0	Enhancement View pull request Enable 'secret' for the sensitive fields, supported from 8.12.	8.8.0 or higher
1.11.0	Enhancement View pull request Add missing SSL fields to agent config.	8.8.0 or higher
1.10.0	Enhancement View pull request Update the package format_version to 3.0.0.	8.8.0 or higher
1.9.2	Bug fix View pull request Add null check and ignore_missing check to the rename processor	8.8.0 or higher
1.9.1	Enhancement View pull request Migrate visualizations to lens.	8.8.0 or higher
1.9.0	Enhancement View pull request Revert changes to permissions to reroute events to logs-- for log datastream	8.8.0 or higher
1.8.0	Enhancement View pull request Enable time series data streams for the metrics datasets. 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.	8.8.0 or higher
1.7.0	Enhancement View pull request Add permissions to reroute events to logs-- for log datastream	7.14.0 or higher 8.0.0 or higher
1.6.0	Enhancement View pull request Rename ownership from obs-service-integrations to obs-infraobs-integrations	7.14.0 or higher 8.0.0 or higher
1.5.6	Enhancement View pull request Modifed the dimension field mapping to support public cloud deployment.	7.14.0 or higher 8.0.0 or higher
1.5.5	Enhancement View pull request Add dimension fields for partition datastream.	7.14.0 or higher 8.0.0 or higher
1.5.4	Enhancement View pull request Add dimension mapping for consumergroup datastream.	7.14.0 or higher 8.0.0 or higher
1.5.3	Enhancement View pull request Added dimension fields for broker datastream.	7.14.0 or higher 8.0.0 or higher
1.5.2	Enhancement View pull request Add metric_type mapping for partition datastream.	7.14.0 or higher 8.0.0 or higher
1.5.1	Enhancement View pull request Add metric_type mapping for consumer_group datastream.	7.14.0 or higher 8.0.0 or higher
1.5.0	Enhancement View pull request Add metric_type mapping for broker datastream.	7.14.0 or higher 8.0.0 or higher
1.4.1	Enhancement View pull request Added categories and/or subcategories.	7.14.0 or higher 8.0.0 or higher
1.4.0	Enhancement View pull request Update ECS version to 8.5.1	7.14.0 or higher 8.0.0 or higher
1.3.1	Enhancement View pull request Update the datashoboard fields	7.14.0 or higher 8.0.0 or higher
1.3.0	Enhancement View pull request Added infrastructure category.	7.14.0 or higher 8.0.0 or higher
1.2.4	Enhancement View pull request Support SASL mechanism	7.14.0 or higher 8.0.0 or higher
1.2.3	Enhancement View pull request Add documentation for multi-fields	7.14.0 or higher 8.0.0 or higher
1.2.2	Bug fix View pull request Pass down the SSL configs.	7.14.0 or higher 8.0.0 or higher
1.2.1	Bug fix View pull request Add missing event.* fields into ecs.yml	—
1.2.0	Enhancement View pull request Update to ECS 8.0	—
1.1.0	Enhancement View pull request Support Kibana 8.0	7.14.0 or higher 8.0.0 or higher
1.0.0	Enhancement View pull request Release Kafka as GA	—
0.7.2	Enhancement View pull request Uniform with guidelines	—
0.7.1	Bug fix View pull request Fix logic that checks for the 'forwarded' tag	—
0.7.0	Enhancement View pull request Update to ECS 1.12.0	—
0.6.2	Enhancement View pull request Convert to generated ECS fields	—
0.6.1	Enhancement View pull request update to ECS 1.11.0	—
0.6.0	Enhancement View pull request Update integration description	—
0.5.0	Enhancement View pull request Enable ECS dependency Enhancement View pull request Set "event.module" and "event.dataset"	—
0.4.0	Enhancement View pull request Update to ECS 1.10.0 and adding event.original option	—
0.3.8	Enhancement View pull request Updating package owner	—
0.3.7	Bug fix View pull request Correct sample event file.	—
0.1.0	Enhancement View pull request initial release	—

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