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Kibana

Stack 9.0+

The Elastic Stack includes Elastic's core products such as Elasticsearch, Kibana, Logstash, and Beats.

Availability

  • Generally available since 9.0

    This functionality is generally available and ready for production usage.

Unless stated otherwise on the page, this functionality is available when your Elastic Stack is deployed on Elastic Cloud Hosted, Elastic Cloud Enterprise, Elastic Cloud on Kubernetes, and self-managed environments.

This documentation corresponds to the latest patch available for each minor version. If you're not using the latest patch, check the release notes for changes.
Version 2.9.0 (View all)
Subscription level
What's this?		 Basic
Developed by
What's this?		 Elastic
Ingestion method(s) API, File
Minimum Kibana version(s) 9.0.0
8.11.2

The Kibana integration collects events from your Kibana instance.

If the Kibana instance is using a basepath in its URL, you must set the basepath setting for this integration with the same value.

The kibana package works with Kibana 8.10.0 and later.

The kibana package can be used to collect metrics shown in our Stack Monitoring UI in Kibana.

Note

Using this integration package will require elasticsearch to be monitored as well in order to see the data in Stack Monitoring UI. If the elasticsearch data is not collected and only Kibana is monitored the Stack monitoring UI won't show the Kibana data.

Exported fields
Field Description Type
@timestamp Date/time when the event originated. This is the date/time extracted from the event, typically representing when the event was generated by the source. If the event source has no original timestamp, this value is typically populated by the first time the event was received by the pipeline. Required field for all events. date
client.ip IP address of the client (IPv4 or IPv6). ip
data_stream.dataset The field can contain anything that makes sense to signify the source of the data. Examples include nginx.access, prometheus, endpoint etc. For data streams that otherwise fit, but that do not have dataset set we use the value "generic" for the dataset value. event.dataset should have the same value as data_stream.dataset. Beyond the Elasticsearch data stream naming criteria noted above, the dataset value has additional restrictions: * Must not contain - * No longer than 100 characters constant_keyword
data_stream.namespace A user defined namespace. Namespaces are useful to allow grouping of data. Many users already organize their indices this way, and the data stream naming scheme now provides this best practice as a default. Many users will populate this field with default. If no value is used, it falls back to default. Beyond the Elasticsearch index naming criteria noted above, namespace value has the additional restrictions: * Must not contain - * No longer than 100 characters constant_keyword
data_stream.type An overarching type for the data stream. Currently allowed values are "logs" and "metrics". We expect to also add "traces" and "synthetics" in the near future. 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.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 Name of the dataset. If an event source publishes more than one type of log or events (e.g. access log, error log), the dataset is used to specify which one the event comes from. It's recommended but not required to start the dataset name with the module name, followed by a dot, then the dataset name. 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.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
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
input.type The input type from which the event was generated. This field is set to the value specified for the type option in the input section of the Filebeat config file. keyword
kibana.add_to_spaces The set of space ids that a saved object was shared to. keyword
kibana.authentication_provider The authentication provider associated with a login event. keyword
kibana.authentication_realm The Elasticsearch authentication realm name which fulfilled a login event. keyword
kibana.authentication_type The authentication provider type associated with a login event. keyword
kibana.delete_from_spaces The set of space ids that a saved object was removed from. keyword
kibana.lookup_realm The Elasticsearch lookup realm which fulfilled a login event. keyword
kibana.saved_object.id The id of the saved object associated with this event. keyword
kibana.saved_object.name The name of the saved object associated with this event. keyword
kibana.saved_object.type The type of the saved object associated with this event. keyword
kibana.session_id The ID of the user session associated with this event. Each login attempt results in a unique session id. keyword
kibana.space_id The id of the space associated with this event. keyword
labels.application 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 The file offset the reported line starts at. 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
process.pid Process id. long
related.user All the user names or other user identifiers seen on the event. keyword
service.node.roles Roles of a service node. This allows for distinction between different running roles of the same service. In the case of Kibana, the service.node.role could be ui or background_tasks or both. In the case of Elasticsearch, the service.node.role could be master or data or both. Other services could use this to distinguish between a web and worker role running as part of the service. keyword
span.id Unique identifier of the span within the scope of its trace. A span represents an operation within a transaction, such as a request to another service, or a database query. keyword
trace.id Unique identifier of the trace. A trace groups multiple events like transactions that belong together. For example, a user request handled by multiple inter-connected services. keyword
transaction.id Unique identifier of the transaction within the scope of its trace. A transaction is the highest level of work measured within a service, such as a request to a server. 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.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.name Short name or login of the user. keyword
user.name.text Multi-field of user.name. match_only_text
user.roles Array of user roles at the time of the event. keyword
Exported fields
Field Description Type
@timestamp Date/time when the event originated. This is the date/time extracted from the event, typically representing when the event was generated by the source. If the event source has no original timestamp, this value is typically populated by the first time the event was received by the pipeline. Required field for all events. date
client.ip IP address of the client (IPv4 or IPv6). ip
data_stream.dataset The field can contain anything that makes sense to signify the source of the data. Examples include nginx.access, prometheus, endpoint etc. For data streams that otherwise fit, but that do not have dataset set we use the value "generic" for the dataset value. event.dataset should have the same value as data_stream.dataset. Beyond the Elasticsearch data stream naming criteria noted above, the dataset value has additional restrictions: * Must not contain - * No longer than 100 characters constant_keyword
data_stream.namespace A user defined namespace. Namespaces are useful to allow grouping of data. Many users already organize their indices this way, and the data stream naming scheme now provides this best practice as a default. Many users will populate this field with default. If no value is used, it falls back to default. Beyond the Elasticsearch index naming criteria noted above, namespace value has the additional restrictions: * Must not contain - * No longer than 100 characters constant_keyword
data_stream.type An overarching type for the data stream. Currently allowed values are "logs" and "metrics". We expect to also add "traces" and "synthetics" in the near future. 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.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 Name of the dataset. If an event source publishes more than one type of log or events (e.g. access log, error log), the dataset is used to specify which one the event comes from. It's recommended but not required to start the dataset name with the module name, followed by a dot, then the dataset name. 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.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
host.ip Host ip addresses. ip
http.request.headers flattened
http.request.id A unique identifier for each HTTP request to correlate logs between clients and servers in transactions. The id may be contained in a non-standard HTTP header, such as X-Request-ID or X-Correlation-ID. keyword
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.mime_type Mime type of the body of the request. This value must only be populated based on the content of the request body, not on the Content-Type header. Comparing the mime type of a request with the request's Content-Type header can be helpful in detecting threats or misconfigured clients. keyword
http.request.referrer Referrer for this HTTP request. keyword
http.response.body.bytes Size in bytes of the response body. long
http.response.headers flattened
http.response.responseTime long
http.response.status_code HTTP response status code. long
input.type The input type from which the event was generated. This field is set to the value specified for the type option in the input section of the Filebeat config file 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 The file offset the reported line starts at. 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
process.eventLoopDelay unsigned_long
process.eventLoopDelayHistogram.50 long
process.eventLoopDelayHistogram.95 long
process.eventLoopDelayHistogram.99 long
process.eventLoopUtilization.active double
process.eventLoopUtilization.idle double
process.eventLoopUtilization.utilization double
process.memory.heap.usedInBytes long
process.pid Process id. long
process.uptime Seconds the process has been up. long
service.node.roles Roles of a service node. This allows for distinction between different running roles of the same service. In the case of Kibana, the service.node.role could be ui or background_tasks or both. In the case of Elasticsearch, the service.node.role could be master or data or both. Other services could use this to distinguish between a web and worker role running as part of the service. keyword
session_id keyword
tags List of keywords used to tag each event. keyword
trace.id Unique identifier of the trace. A trace groups multiple events like transactions that belong together. For example, a user request handled by multiple inter-connected services. keyword
transaction.id Unique identifier of the transaction within the scope of its trace. A transaction is the highest level of work measured within a service, such as a request to a server. keyword
url.path Path of the request, such as "/search". wildcard
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
user_agent.original Unparsed user_agent string. keyword
user_agent.original.text Multi-field of user_agent.original. match_only_text

This data stream uses the /api/task_manager/_background_task_utilization API of Kibana, which is available starting in 8.9.

Exported fields
Field Description Type
@timestamp Date/time when the event originated. This is the date/time extracted from the event, typically representing when the event was generated by the source. If the event source has no original timestamp, this value is typically populated by the first time the event was received by the pipeline. Required field for all events. date
agent.ephemeral_id Ephemeral identifier of this agent (if one exists). This id normally changes across restarts, but agent.id does not. keyword
agent.id Unique identifier of this agent (if one exists). Example: For Beats this would be beat.id. keyword
agent.name Custom name of the agent. This is a name that can be given to an agent. This can be helpful if for example two Filebeat instances are running on the same host but a human readable separation is needed on which Filebeat instance data is coming from. keyword
agent.type Type of the agent. The agent type always stays the same and should be given by the agent used. In case of Filebeat the agent would always be Filebeat also if two Filebeat instances are run on the same machine. keyword
agent.version Version of the agent. keyword
cluster_uuid alias
data_stream.dataset The field can contain anything that makes sense to signify the source of the data. Examples include nginx.access, prometheus, endpoint etc. For data streams that otherwise fit, but that do not have dataset set we use the value "generic" for the dataset value. event.dataset should have the same value as data_stream.dataset. Beyond the Elasticsearch data stream naming criteria noted above, the dataset value has additional restrictions: * Must not contain - * No longer than 100 characters constant_keyword
data_stream.namespace A user defined namespace. Namespaces are useful to allow grouping of data. Many users already organize their indices this way, and the data stream naming scheme now provides this best practice as a default. Many users will populate this field with default. If no value is used, it falls back to default. Beyond the Elasticsearch index naming criteria noted above, namespace value has the additional restrictions: * Must not contain - * No longer than 100 characters constant_keyword
data_stream.type An overarching type for the data stream. Currently allowed values are "logs" and "metrics". We expect to also add "traces" and "synthetics" in the near future. 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.agent_id_status Agents are normally responsible for populating the agent.id field value. If the system receiving events is capable of validating the value based on authentication information for the client then this field can be used to reflect the outcome of that validation. For example if the agent's connection is authenticated with mTLS and the client cert contains the ID of the agent to which the cert was issued then the agent.id value in events can be checked against the certificate. If the values match then event.agent_id_status: verified is added to the event, otherwise one of the other allowed values should be used. If no validation is performed then the field should be omitted. The allowed values are: verified - The agent.id field value matches expected value obtained from auth metadata. mismatch - The agent.id field value does not match the expected value obtained from auth metadata. missing - There was no agent.id field in the event to validate. auth_metadata_missing - There was no auth metadata or it was missing information about the agent ID. keyword
event.dataset Name of the dataset. If an event source publishes more than one type of log or events (e.g. access log, error log), the dataset is used to specify which one the event comes from. It's recommended but not required to start the dataset name with the module name, followed by a dot, then the dataset name. 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.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.module Name of the module this data is coming from. If your monitoring agent supports the concept of modules or plugins to process events of a given source (e.g. Apache logs), event.module should contain the name of this module. keyword
host.architecture Operating system architecture. 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. The notation format from RFC 7042 is suggested: Each octet (that is, 8-bit byte) is represented by two [uppercase] hexadecimal digits giving the value of the octet as an unsigned integer. Successive octets are separated by a hyphen. 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.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. match_only_text
host.os.platform Operating system platform (such centos, ubuntu, windows). keyword
host.os.type Use the os.type field to categorize the operating system into one of the broad commercial families. If the OS you're dealing with is not listed as an expected value, the field should not be populated. Please let us know by opening an issue with ECS, to propose its addition. keyword
host.os.version Operating system version as a raw string. keyword
kibana.background_task_utilization.last_update date
kibana.background_task_utilization.process_uuid keyword
kibana.background_task_utilization.stats.timestamp date
kibana.background_task_utilization.stats.value.load long
kibana.background_task_utilization.timestamp date
kibana_stats.kibana.uuid alias
kibana_stats.kibana.version alias
kibana_stats.timestamp alias
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
timestamp alias
Example
JSON 
{
    "@timestamp": "2023-05-11T16:41:30.793Z",
    "agent": {
        "ephemeral_id": "a8cb0dfc-d83d-4928-8836-decae307ed1a",
        "id": "48b3ac4e-1e5d-4c6c-a76a-6c18ae017df9",
        "name": "docker-fleet-agent",
        "type": "metricbeat",
        "version": "8.9.0"
    },
    "data_stream": {
        "dataset": "kibana.background_task_utilization",
        "namespace": "default",
        "type": "metrics"
    },
    "ecs": {
        "version": "8.0.0"
    },
    "elastic_agent": {
        "id": "48b3ac4e-1e5d-4c6c-a76a-6c18ae017df9",
        "snapshot": true,
        "version": "8.9.0"
    },
    "event": {
        "agent_id_status": "verified",
        "dataset": "kibana.background_task_utilization",
        "duration": 23467000,
        "ingested": "2023-05-11T16:41:31Z",
        "module": "http"
    },
    "host": {
        "architecture": "aarch64",
        "containerized": false,
        "hostname": "docker-fleet-agent",
        "id": "2928cd5a7c374273b53f983d5bd5a3c9",
        "ip": [
            "172.26.0.7"
        ],
        "mac": [
            "02-42-AC-1A-00-07"
        ],
        "name": "docker-fleet-agent",
        "os": {
            "codename": "focal",
            "family": "debian",
            "kernel": "5.15.49-linuxkit",
            "name": "Ubuntu",
            "platform": "ubuntu",
            "type": "linux",
            "version": "20.04.6 LTS (Focal Fossa)"
        }
    },
    "kibana": {
        "background_task_utilization": {
            "last_update": "2023-05-11T16:41:27.977Z",
            "process_uuid": "5547afe7-b651-4c95-b2e4-dc23ac1e5a8d",
            "stats": {
                "timestamp": "2023-05-11T16:41:27.977Z",
                "value": {
                    "load": 4
                }
            },
            "timestamp": "2023-05-11T16:41:30.813Z"
        }
    },
    "metricset": {
        "name": "json",
        "period": 10000
    },
    "service": {
        "address": "https://kibana:5601/api/task_manager/_background_task_utilization",
        "type": "http"
    }
}

This data stream uses the /api/task_manager/metrics API of Kibana, which is available starting in 8.10.

Exported fields
Field Description Type
@timestamp Date/time when the event originated. This is the date/time extracted from the event, typically representing when the event was generated by the source. If the event source has no original timestamp, this value is typically populated by the first time the event was received by the pipeline. Required field for all events. date
agent.ephemeral_id Ephemeral identifier of this agent (if one exists). This id normally changes across restarts, but agent.id does not. keyword
agent.id Unique identifier of this agent (if one exists). Example: For Beats this would be beat.id. keyword
agent.name Custom name of the agent. This is a name that can be given to an agent. This can be helpful if for example two Filebeat instances are running on the same host but a human readable separation is needed on which Filebeat instance data is coming from. keyword
agent.type Type of the agent. The agent type always stays the same and should be given by the agent used. In case of Filebeat the agent would always be Filebeat also if two Filebeat instances are run on the same machine. keyword
agent.version Version of the agent. keyword
cluster_uuid alias
data_stream.dataset The field can contain anything that makes sense to signify the source of the data. Examples include nginx.access, prometheus, endpoint etc. For data streams that otherwise fit, but that do not have dataset set we use the value "generic" for the dataset value. event.dataset should have the same value as data_stream.dataset. Beyond the Elasticsearch data stream naming criteria noted above, the dataset value has additional restrictions: * Must not contain - * No longer than 100 characters constant_keyword
data_stream.namespace A user defined namespace. Namespaces are useful to allow grouping of data. Many users already organize their indices this way, and the data stream naming scheme now provides this best practice as a default. Many users will populate this field with default. If no value is used, it falls back to default. Beyond the Elasticsearch index naming criteria noted above, namespace value has the additional restrictions: * Must not contain - * No longer than 100 characters constant_keyword
data_stream.type An overarching type for the data stream. Currently allowed values are "logs" and "metrics". We expect to also add "traces" and "synthetics" in the near future. 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.agent_id_status Agents are normally responsible for populating the agent.id field value. If the system receiving events is capable of validating the value based on authentication information for the client then this field can be used to reflect the outcome of that validation. For example if the agent's connection is authenticated with mTLS and the client cert contains the ID of the agent to which the cert was issued then the agent.id value in events can be checked against the certificate. If the values match then event.agent_id_status: verified is added to the event, otherwise one of the other allowed values should be used. If no validation is performed then the field should be omitted. The allowed values are: verified - The agent.id field value matches expected value obtained from auth metadata. mismatch - The agent.id field value does not match the expected value obtained from auth metadata. missing - There was no agent.id field in the event to validate. auth_metadata_missing - There was no auth metadata or it was missing information about the agent ID. keyword
event.dataset Name of the dataset. If an event source publishes more than one type of log or events (e.g. access log, error log), the dataset is used to specify which one the event comes from. It's recommended but not required to start the dataset name with the module name, followed by a dot, then the dataset name. 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.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.module Name of the module this data is coming from. If your monitoring agent supports the concept of modules or plugins to process events of a given source (e.g. Apache logs), event.module should contain the name of this module. keyword
host.architecture Operating system architecture. 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. The notation format from RFC 7042 is suggested: Each octet (that is, 8-bit byte) is represented by two [uppercase] hexadecimal digits giving the value of the octet as an unsigned integer. Successive octets are separated by a hyphen. 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.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. match_only_text
host.os.platform Operating system platform (such centos, ubuntu, windows). keyword
host.os.type Use the os.type field to categorize the operating system into one of the broad commercial families. If the OS you're dealing with is not listed as an expected value, the field should not be populated. Please let us know by opening an issue with ECS, to propose its addition. keyword
host.os.version Operating system version as a raw string. keyword
kibana.task_manager_metrics.last_update date
kibana.task_manager_metrics.metrics.task_claim.timestamp date
kibana.task_manager_metrics.metrics.task_claim.value.duration histogram
kibana.task_manager_metrics.metrics.task_claim.value.success long
kibana.task_manager_metrics.metrics.task_claim.value.total long
kibana.task_manager_metrics.metrics.task_run.timestamp date
kibana.task_manager_metrics.metrics.task_run.value.by_type.*.success long
kibana.task_manager_metrics.metrics.task_run.value.by_type.*.total long
kibana.task_manager_metrics.metrics.task_run.value.overall.success long
kibana.task_manager_metrics.metrics.task_run.value.overall.total long
kibana.task_manager_metrics.process_uuid keyword
kibana.task_manager_metrics.timestamp date
kibana_stats.kibana.uuid alias
kibana_stats.kibana.version alias
kibana_stats.timestamp alias
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
timestamp alias
Example
JSON 
{
    "@timestamp": "2023-08-23T15:16:50.293Z",
    "agent": {
        "name": "docker-fleet-agent",
        "id": "8e1f023e-e70d-40a7-905a-f1ff1271b631",
        "type": "metricbeat",
        "ephemeral_id": "7a40c3bb-4628-496b-ba5f-7f0fb82e1767",
        "version": "8.10.0"
    },
    "ecs": {
        "version": "8.0.0"
    },
    "data_stream": {
        "namespace": "default",
        "type": "metrics",
        "dataset": "kibana.task_manager_metrics"
    },
    "service": {
        "address": "https://kibana:5601/api/task_manager/metrics",
        "type": "http"
    },
    "host": {
        "hostname": "docker-fleet-agent",
        "os": {
            "kernel": "5.15.49-linuxkit",
            "codename": "focal",
            "name": "Ubuntu",
            "family": "debian",
            "type": "linux",
            "version": "20.04.6 LTS (Focal Fossa)",
            "platform": "ubuntu"
        },
        "containerized": false,
        "ip": [
            "172.23.0.7"
        ],
        "name": "docker-fleet-agent",
        "id": "0d43b8a597974fa28645b1e16ce2db8d",
        "mac": [
            "02-42-AC-17-00-07"
        ],
        "architecture": "aarch64"
    },
    "elastic_agent": {
        "id": "8e1f023e-e70d-40a7-905a-f1ff1271b631",
        "version": "8.10.0",
        "snapshot": true
    },
    "metricset": {
        "period": 10000,
        "name": "json"
    },
    "http": {},
    "kibana": {
        "task_manager_metrics": {
            "last_update": "2023-08-23T15:16:49.213Z",
            "process_uuid": "2b4126d2-f102-4d6c-9070-9763d142ed14",
            "metrics": {
                "task_run": {
                    "value": {
                        "overall": {
                            "total": 1,
                            "success": 1
                        },
                        "by_type": {
                            "cases-telemetry-task": {
                                "total": 0,
                                "success": 0
                            },
                            "apm-telemetry-task": {
                                "total": 0,
                                "success": 0
                            },
                            "osquery:telemetry-saved-queries": {
                                "total": 0,
                                "success": 0
                            },
                            "security:telemetry-detection-rules": {
                                "total": 0,
                                "success": 0
                            },
                            "alerting_telemetry": {
                                "total": 0,
                                "success": 0
                            },
                            "alerts_invalidate_api_keys": {
                                "total": 0,
                                "success": 0
                            },
                            "security:endpoint-diagnostics": {
                                "total": 0,
                                "success": 0
                            },
                            "endpoint:user-artifact-packager": {
                                "total": 0,
                                "success": 0
                            },
                            "security:telemetry-filterlist-artifact": {
                                "total": 0,
                                "success": 0
                            },
                            "session_cleanup": {
                                "total": 0,
                                "success": 0
                            },
                            "osquery:telemetry-configs": {
                                "total": 0,
                                "success": 0
                            },
                            "security:telemetry-timelines": {
                                "total": 0,
                                "success": 0
                            },
                            "Fleet-Usage-Sender": {
                                "total": 0,
                                "success": 0
                            },
                            "security:endpoint-meta-telemetry": {
                                "total": 0,
                                "success": 0
                            },
                            "ML:saved-objects-sync": {
                                "total": 0,
                                "success": 0
                            },
                            "security:telemetry-prebuilt-rule-alerts": {
                                "total": 0,
                                "success": 0
                            },
                            "osquery:telemetry-packs": {
                                "total": 0,
                                "success": 0
                            },
                            "dashboard_telemetry": {
                                "total": 0,
                                "success": 0
                            },
                            "Fleet-Usage-Logger": {
                                "total": 0,
                                "success": 0
                            },
                            "security:telemetry-lists": {
                                "total": 0,
                                "success": 0
                            },
                            "actions_telemetry": {
                                "total": 0,
                                "success": 0
                            },
                            "apm-source-map-migration-task": {
                                "total": 0,
                                "success": 0
                            },
                            "security:telemetry-configuration": {
                                "total": 0,
                                "success": 0
                            },
                            "endpoint:metadata-check-transforms-task": {
                                "total": 0,
                                "success": 0
                            },
                            "fleet:check-deleted-files-task": {
                                "total": 0,
                                "success": 0
                            },
                            "alerting_health_check": {
                                "total": 0,
                                "success": 0
                            },
                            "reports:monitor": {
                                "total": 1,
                                "success": 1
                            }
                        }
                    },
                    "timestamp": "2023-08-23T15:16:46.327Z"
                },
                "task_claim": {
                    "value": {
                        "duration": {
                            "counts": [
                                3
                            ],
                            "values": [
                                100
                            ]
                        },
                        "total": 3,
                        "success": 3
                    },
                    "timestamp": "2023-08-23T15:16:49.213Z"
                }
            },
            "timestamp": "2023-08-23T15:16:49.213Z"
        }
    },
    "event": {
        "duration": 19616583,
        "agent_id_status": "verified",
        "ingested": "2023-08-23T15:16:51Z",
        "module": "http",
        "dataset": "kibana.task_manager_metrics"
    }
}

Stats data stream uses the stats endpoint of Kibana, which is available in 6.4 by default.

Exported fields
Field Description Type
@timestamp Date/time when the event originated. This is the date/time extracted from the event, typically representing when the event was generated by the source. If the event source has no original timestamp, this value is typically populated by the first time the event was received by the pipeline. Required field for all events. date
cluster_uuid alias
data_stream.dataset The field can contain anything that makes sense to signify the source of the data. Examples include nginx.access, prometheus, endpoint etc. For data streams that otherwise fit, but that do not have dataset set we use the value "generic" for the dataset value. event.dataset should have the same value as data_stream.dataset. Beyond the Elasticsearch data stream naming criteria noted above, the dataset value has additional restrictions: * Must not contain - * No longer than 100 characters constant_keyword
data_stream.namespace A user defined namespace. Namespaces are useful to allow grouping of data. Many users already organize their indices this way, and the data stream naming scheme now provides this best practice as a default. Many users will populate this field with default. If no value is used, it falls back to default. Beyond the Elasticsearch index naming criteria noted above, namespace value has the additional restrictions: * Must not contain - * No longer than 100 characters constant_keyword
data_stream.type An overarching type for the data stream. Currently allowed values are "logs" and "metrics". We expect to also add "traces" and "synthetics" in the near future. 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.dataset Name of the dataset. If an event source publishes more than one type of log or events (e.g. access log, error log), the dataset is used to specify which one the event comes from. It's recommended but not required to start the dataset name with the module name, followed by a dot, then the dataset name. 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 Name of the module this data is coming from. If your monitoring agent supports the concept of modules or plugins to process events of a given source (e.g. Apache logs), event.module should contain the name of this module. 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
kibana.elasticsearch.cluster.id keyword
kibana.stats.concurrent_connections Number of client connections made to the server. Note that browsers can send multiple simultaneous connections to request multiple server assets at once, and they can re-use established connections. long
kibana.stats.elasticsearch_client.total_active_sockets long
kibana.stats.elasticsearch_client.total_idle_sockets long
kibana.stats.elasticsearch_client.total_queued_requests long
kibana.stats.host.name Kibana instance hostname keyword
kibana.stats.index Name of Kibana's internal index keyword
kibana.stats.kibana.status keyword
kibana.stats.name Kibana instance name keyword
kibana.stats.os.cgroup_memory.current_in_bytes long
kibana.stats.os.cgroup_memory.swap_current_in_bytes long
kibana.stats.os.cpuacct.control_group keyword
kibana.stats.os.cpuacct.usage_nanos long
kibana.stats.os.distro keyword
kibana.stats.os.distroRelease keyword
kibana.stats.os.load.15m half_float
kibana.stats.os.load.1m half_float
kibana.stats.os.load.5m half_float
kibana.stats.os.memory.free_in_bytes long
kibana.stats.os.memory.total_in_bytes long
kibana.stats.os.memory.used_in_bytes long
kibana.stats.os.platform keyword
kibana.stats.os.platformRelease keyword
kibana.stats.process.event_loop_delay.ms Event loop delay in milliseconds scaled_float
kibana.stats.process.event_loop_utilization.active double
kibana.stats.process.event_loop_utilization.idle double
kibana.stats.process.event_loop_utilization.utilization double
kibana.stats.process.memory.array_buffers.bytes long
kibana.stats.process.memory.external.bytes long
kibana.stats.process.memory.heap.size_limit.bytes Max. old space size allocated to Node.js process, in bytes long
kibana.stats.process.memory.heap.total.bytes Total heap allocated to process in bytes long
kibana.stats.process.memory.heap.uptime.ms Uptime of process in milliseconds long
kibana.stats.process.memory.heap.used.bytes Heap used by process in bytes long
kibana.stats.process.memory.resident_set_size.bytes long
kibana.stats.process.uptime.ms long
kibana.stats.request.disconnects Number of requests that were disconnected long
kibana.stats.request.total Total number of requests long
kibana.stats.response_time.avg.ms Average response time in milliseconds long
kibana.stats.response_time.max.ms Maximum response time in milliseconds long
kibana.stats.snapshot Whether the Kibana build is a snapshot build boolean
kibana.stats.status Kibana instance's health status keyword
kibana.stats.transport_address Address where data about this service was collected from. keyword
kibana.stats.usage.index keyword
kibana_stats.concurrent_connections alias
kibana_stats.kibana.response_time.max alias
kibana_stats.kibana.status alias
kibana_stats.kibana.uuid alias
kibana_stats.kibana.version alias
kibana_stats.os.load.15m alias
kibana_stats.os.load.1m alias
kibana_stats.os.load.5m alias
kibana_stats.os.memory.free_in_bytes alias
kibana_stats.process.event_loop_delay alias
kibana_stats.process.memory.heap.size_limit alias
kibana_stats.process.memory.resident_set_size_in_bytes alias
kibana_stats.process.uptime_in_millis alias
kibana_stats.requests.disconnects alias
kibana_stats.requests.total alias
kibana_stats.response_times.average alias
kibana_stats.response_times.max alias
kibana_stats.timestamp alias
process.pid Process id. long
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.id Unique identifier of the running service. If the service is comprised of many nodes, the service.id should be the same for all nodes. This id should uniquely identify the service. This makes it possible to correlate logs and metrics for one specific service, no matter which particular node emitted the event. Note that if you need to see the events from one specific host of the service, you should filter on that host.name or host.id instead. 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
service.version Version of the service the data was collected from. This allows to look at a data set only for a specific version of a service. keyword
timestamp alias
Example
JSON 
{
    "@timestamp": "2022-10-11T19:06:28.320Z",
    "agent": {
        "ephemeral_id": "f796f6ed-21e4-48d5-bb4f-4cc69b3fb3f2",
        "id": "b3e85606-c252-4a5e-af71-7b138302dbd9",
        "name": "docker-fleet-agent",
        "type": "metricbeat",
        "version": "8.5.0"
    },
    "data_stream": {
        "dataset": "kibana.stack_monitoring.stats",
        "namespace": "ep",
        "type": "metrics"
    },
    "ecs": {
        "version": "8.0.0"
    },
    "elastic_agent": {
        "id": "b3e85606-c252-4a5e-af71-7b138302dbd9",
        "snapshot": true,
        "version": "8.5.0"
    },
    "event": {
        "agent_id_status": "verified",
        "dataset": "kibana.stack_monitoring.stats",
        "duration": 57404375,
        "ingested": "2022-10-11T19:06:29Z",
        "module": "kibana"
    },
    "host": {
        "architecture": "x86_64",
        "containerized": false,
        "hostname": "docker-fleet-agent",
        "id": "b6bc6723e51b43959ce07f0c3105c72d",
        "ip": [
            "172.31.0.7"
        ],
        "mac": [
            "02-42-AC-1F-00-07"
        ],
        "name": "docker-fleet-agent",
        "os": {
            "codename": "focal",
            "family": "debian",
            "kernel": "5.10.124-linuxkit",
            "name": "Ubuntu",
            "platform": "ubuntu",
            "type": "linux",
            "version": "20.04.5 LTS (Focal Fossa)"
        }
    },
    "kibana": {
        "elasticsearch": {
            "cluster": {
                "id": "II5HA1VCQPGB4bQLCi5yZw"
            }
        },
        "stats": {
            "concurrent_connections": 0,
            "host": {
                "name": "0.0.0.0"
            },
            "index": ".kibana",
            "name": "kibana",
            "os": {
                "distro": "Ubuntu",
                "distroRelease": "Ubuntu-20.04",
                "load": {
                    "15m": 3.1,
                    "1m": 4.29,
                    "5m": 3.7
                },
                "memory": {
                    "free_in_bytes": 5613236224,
                    "total_in_bytes": 12544004096,
                    "used_in_bytes": 6930767872
                },
                "platform": "linux",
                "platformRelease": "linux-5.10.124-linuxkit",
                "cpuacct": {
                    "control_group": "cgroup",
                    "usage_nanos": 56132224
                },
                "cgroup_memory": {
                    "current_in_bytes": 60869566,
                    "swap_current_in_bytes": 65374608
                }
            },
            "process": {
                "event_loop_delay": {
                    "ms": 10.846537460869566
                },
                "memory": {
                    "heap": {
                        "size_limit": {
                            "bytes": 2197815296
                        },
                        "total": {
                            "bytes": 608399360
                        },
                        "used": {
                            "bytes": 295489000
                        }
                    },
                    "resident_set_size": {
                        "bytes": 716869632
                    },
                    "array_buffers": {
                        "bytes": 2197869632
                    },
                    "external": {
                        "bytes": 4890295460
                    }
                },
                "uptime": {
                    "ms": 25686
                }
            },
            "request": {
                "disconnects": 0,
                "total": 7
            },
            "response_time": {
                "avg": {
                    "ms": 13
                },
                "max": {
                    "ms": 48
                }
            },
            "snapshot": true,
            "status": "green",
            "transport_address": "0.0.0.0:5601"
        }
    },
    "metricset": {
        "name": "stats",
        "period": 10000
    },
    "process": {
        "pid": 7
    },
    "service": {
        "address": "http://elastic-package-service-kibana-1:5601/api/stats?extended=true",
        "id": "d67ef18d-cefc-4ca5-b844-123adf3a0eb7",
        "type": "kibana",
        "version": "8.5.0"
    }
}

This status endpoint is available in 6.0 by default and can be enabled in Kibana >= 5.4 with the config option status.v6ApiFormat: true.

Exported fields
Field Description Type
@timestamp Date/time when the event originated. This is the date/time extracted from the event, typically representing when the event was generated by the source. If the event source has no original timestamp, this value is typically populated by the first time the event was received by the pipeline. Required field for all events. date
data_stream.dataset The field can contain anything that makes sense to signify the source of the data. Examples include nginx.access, prometheus, endpoint etc. For data streams that otherwise fit, but that do not have dataset set we use the value "generic" for the dataset value. event.dataset should have the same value as data_stream.dataset. Beyond the Elasticsearch data stream naming criteria noted above, the dataset value has additional restrictions: * Must not contain - * No longer than 100 characters constant_keyword
data_stream.namespace A user defined namespace. Namespaces are useful to allow grouping of data. Many users already organize their indices this way, and the data stream naming scheme now provides this best practice as a default. Many users will populate this field with default. If no value is used, it falls back to default. Beyond the Elasticsearch index naming criteria noted above, namespace value has the additional restrictions: * Must not contain - * No longer than 100 characters constant_keyword
data_stream.type An overarching type for the data stream. Currently allowed values are "logs" and "metrics". We expect to also add "traces" and "synthetics" in the near future. 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
kibana.status.metrics.concurrent_connections Current concurrent connections. long
kibana.status.metrics.requests.disconnects Total number of disconnected connections. long
kibana.status.metrics.requests.total Total number of connections. long
kibana.status.name Kibana instance name. keyword
kibana.status.status.core.elasticsearch.level Kibana Elasticsearch client's status. keyword
kibana.status.status.core.elasticsearch.summary Kibana Elasticsearch client's status in a human-readable format. text
kibana.status.status.core.savedObjects.level Kibana Saved Objects client's status. keyword
kibana.status.status.core.savedObjects.summary Kibana Saved Objects client's status in a human-readable format. text
kibana.status.status.overall.level Kibana overall level (v8 format). keyword
kibana.status.status.overall.state Kibana overall state. keyword
kibana.status.status.overall.summary Kibana overall state in a human-readable format. text
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.id Unique identifier of the running service. If the service is comprised of many nodes, the service.id should be the same for all nodes. This id should uniquely identify the service. This makes it possible to correlate logs and metrics for one specific service, no matter which particular node emitted the event. Note that if you need to see the events from one specific host of the service, you should filter on that host.name or host.id instead. 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
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
service.version Version of the service the data was collected from. This allows to look at a data set only for a specific version of a service. keyword
Example
JSON 
{
    "@timestamp": "2022-10-11T19:07:58.348Z",
    "agent": {
        "ephemeral_id": "f796f6ed-21e4-48d5-bb4f-4cc69b3fb3f2",
        "id": "b3e85606-c252-4a5e-af71-7b138302dbd9",
        "name": "docker-fleet-agent",
        "type": "metricbeat",
        "version": "8.5.0"
    },
    "data_stream": {
        "dataset": "kibana.stack_monitoring.status",
        "namespace": "ep",
        "type": "metrics"
    },
    "ecs": {
        "version": "8.0.0"
    },
    "elastic_agent": {
        "id": "b3e85606-c252-4a5e-af71-7b138302dbd9",
        "snapshot": true,
        "version": "8.5.0"
    },
    "event": {
        "agent_id_status": "verified",
        "dataset": "kibana.stack_monitoring.status",
        "duration": 21930208,
        "ingested": "2022-10-11T19:07:59Z",
        "module": "kibana"
    },
    "host": {
        "architecture": "x86_64",
        "containerized": false,
        "hostname": "docker-fleet-agent",
        "id": "b6bc6723e51b43959ce07f0c3105c72d",
        "ip": [
            "172.31.0.7"
        ],
        "mac": [
            "02-42-AC-1F-00-07"
        ],
        "name": "docker-fleet-agent",
        "os": {
            "codename": "focal",
            "family": "debian",
            "kernel": "5.10.124-linuxkit",
            "name": "Ubuntu",
            "platform": "ubuntu",
            "type": "linux",
            "version": "20.04.5 LTS (Focal Fossa)"
        }
    },
    "kibana": {
        "status": {
            "metrics": {
                "concurrent_connections": 0,
                "requests": {
                    "disconnects": 0,
                    "total": 6
                }
            },
            "name": "kibana",
            "status": {
                "overall": {
                    "level": "available",
                    "summary": "All services and plugins are available"
                },
                "core": {
                    "elasticsearch": {
                        "level": "available",
                        "summary": "Elasticsearch is available"
                    },
                    "savedObjects": {
                        "level": "available",
                        "summary": "SavedObjects service has completed migrations and is available"
                    }
                }
            }
        }
    },
    "metricset": {
        "name": "status",
        "period": 10000
    },
    "service": {
        "address": "http://elastic-package-service-kibana-1:5601/api/status",
        "id": "40f3cc0f-ff7c-4e7e-a470-bbdb124a32ca",
        "name": "kibana",
        "type": "kibana",
        "version": "8.5.0"
    }
}

Cluster actions metrics documentation

Exported fields
Field Description Type
@timestamp Date/time when the event originated. This is the date/time extracted from the event, typically representing when the event was generated by the source. If the event source has no original timestamp, this value is typically populated by the first time the event was received by the pipeline. Required field for all events. date
cluster_uuid alias
data_stream.dataset The field can contain anything that makes sense to signify the source of the data. Examples include nginx.access, prometheus, endpoint etc. For data streams that otherwise fit, but that do not have dataset set we use the value "generic" for the dataset value. event.dataset should have the same value as data_stream.dataset. Beyond the Elasticsearch data stream naming criteria noted above, the dataset value has additional restrictions: * Must not contain - * No longer than 100 characters constant_keyword
data_stream.namespace A user defined namespace. Namespaces are useful to allow grouping of data. Many users already organize their indices this way, and the data stream naming scheme now provides this best practice as a default. Many users will populate this field with default. If no value is used, it falls back to default. Beyond the Elasticsearch index naming criteria noted above, namespace value has the additional restrictions: * Must not contain - * No longer than 100 characters constant_keyword
data_stream.type An overarching type for the data stream. Currently allowed values are "logs" and "metrics". We expect to also add "traces" and "synthetics" in the near future. 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.dataset Name of the dataset. If an event source publishes more than one type of log or events (e.g. access log, error log), the dataset is used to specify which one the event comes from. It's recommended but not required to start the dataset name with the module name, followed by a dot, then the dataset name. 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 Name of the module this data is coming from. If your monitoring agent supports the concept of modules or plugins to process events of a given source (e.g. Apache logs), event.module should contain the name of this module. 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
kibana.cluster_actions.overdue.count long
kibana.cluster_actions.overdue.delay.p50 float
kibana.cluster_actions.overdue.delay.p99 float
kibana.elasticsearch.cluster.id keyword
kibana_stats.kibana.uuid alias
kibana_stats.kibana.version alias
kibana_stats.timestamp alias
process.pid Process id. long
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.id Unique identifier of the running service. If the service is comprised of many nodes, the service.id should be the same for all nodes. This id should uniquely identify the service. This makes it possible to correlate logs and metrics for one specific service, no matter which particular node emitted the event. Note that if you need to see the events from one specific host of the service, you should filter on that host.name or host.id instead. 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
service.version Version of the service the data was collected from. This allows to look at a data set only for a specific version of a service. keyword
timestamp alias
Example
JSON 
{
    "@timestamp": "2022-10-11T13:16:56.271Z",
    "agent": {
        "ephemeral_id": "928bf66e-bd3d-44d0-9cd8-8896033ea65f",
        "id": "79e48fe3-2ecd-4021-aed5-6e7e69d47606",
        "name": "docker-fleet-agent",
        "type": "metricbeat",
        "version": "8.5.0"
    },
    "data_stream": {
        "dataset": "kibana.stack_monitoring.cluster_actions",
        "namespace": "ep",
        "type": "metrics"
    },
    "ecs": {
        "version": "8.0.0"
    },
    "elastic_agent": {
        "id": "79e48fe3-2ecd-4021-aed5-6e7e69d47606",
        "snapshot": true,
        "version": "8.5.0"
    },
    "event": {
        "agent_id_status": "verified",
        "dataset": "kibana.stack_monitoring.cluster_actions",
        "duration": 29863417,
        "ingested": "2022-10-11T13:16:57Z",
        "module": "kibana"
    },
    "host": {
        "architecture": "x86_64",
        "containerized": false,
        "hostname": "docker-fleet-agent",
        "id": "b6bc6723e51b43959ce07f0c3105c72d",
        "ip": [
            "192.168.0.7"
        ],
        "mac": [
            "02-42-C0-A8-00-07"
        ],
        "name": "docker-fleet-agent",
        "os": {
            "codename": "focal",
            "family": "debian",
            "kernel": "5.10.124-linuxkit",
            "name": "Ubuntu",
            "platform": "ubuntu",
            "type": "linux",
            "version": "20.04.5 LTS (Focal Fossa)"
        }
    },
    "kibana": {
        "cluster_actions": {
            "overdue": {
                "count": 0,
                "delay": {
                    "p50": 0,
                    "p99": 0
                }
            }
        },
        "elasticsearch.cluster.id": "4tCLrloiQWS6rLAX6pkQCA"
    },
    "metricset": {
        "name": "cluster_actions",
        "period": 10000
    },
    "service": {
        "address": "http://elastic-package-service-kibana-1:5601/api/monitoring_collection/cluster_actions",
        "type": "kibana"
    },
    "service.address": "0.0.0.0:5601",
    "service.id": "5308cf43-e91a-4a98-83b2-38cf29f90984",
    "service.version": "8.5.0"
}

Cluster rules metrics

Exported fields
Field Description Type
@timestamp Date/time when the event originated. This is the date/time extracted from the event, typically representing when the event was generated by the source. If the event source has no original timestamp, this value is typically populated by the first time the event was received by the pipeline. Required field for all events. date
cluster_uuid alias
data_stream.dataset The field can contain anything that makes sense to signify the source of the data. Examples include nginx.access, prometheus, endpoint etc. For data streams that otherwise fit, but that do not have dataset set we use the value "generic" for the dataset value. event.dataset should have the same value as data_stream.dataset. Beyond the Elasticsearch data stream naming criteria noted above, the dataset value has additional restrictions: * Must not contain - * No longer than 100 characters constant_keyword
data_stream.namespace A user defined namespace. Namespaces are useful to allow grouping of data. Many users already organize their indices this way, and the data stream naming scheme now provides this best practice as a default. Many users will populate this field with default. If no value is used, it falls back to default. Beyond the Elasticsearch index naming criteria noted above, namespace value has the additional restrictions: * Must not contain - * No longer than 100 characters constant_keyword
data_stream.type An overarching type for the data stream. Currently allowed values are "logs" and "metrics". We expect to also add "traces" and "synthetics" in the near future. 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.dataset Name of the dataset. If an event source publishes more than one type of log or events (e.g. access log, error log), the dataset is used to specify which one the event comes from. It's recommended but not required to start the dataset name with the module name, followed by a dot, then the dataset name. 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 Name of the module this data is coming from. If your monitoring agent supports the concept of modules or plugins to process events of a given source (e.g. Apache logs), event.module should contain the name of this module. 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
kibana.cluster_rules.overdue.count long
kibana.cluster_rules.overdue.delay.p50 float
kibana.cluster_rules.overdue.delay.p99 float
kibana.elasticsearch.cluster.id keyword
kibana_stats.kibana.uuid alias
kibana_stats.kibana.version alias
kibana_stats.timestamp alias
process.pid Process id. long
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.id Unique identifier of the running service. If the service is comprised of many nodes, the service.id should be the same for all nodes. This id should uniquely identify the service. This makes it possible to correlate logs and metrics for one specific service, no matter which particular node emitted the event. Note that if you need to see the events from one specific host of the service, you should filter on that host.name or host.id instead. 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
service.version Version of the service the data was collected from. This allows to look at a data set only for a specific version of a service. keyword
timestamp alias
Example
JSON 
{
    "@timestamp": "2022-10-11T13:18:21.819Z",
    "agent": {
        "ephemeral_id": "928bf66e-bd3d-44d0-9cd8-8896033ea65f",
        "id": "79e48fe3-2ecd-4021-aed5-6e7e69d47606",
        "name": "docker-fleet-agent",
        "type": "metricbeat",
        "version": "8.5.0"
    },
    "data_stream": {
        "dataset": "kibana.stack_monitoring.cluster_rules",
        "namespace": "ep",
        "type": "metrics"
    },
    "ecs": {
        "version": "8.0.0"
    },
    "elastic_agent": {
        "id": "79e48fe3-2ecd-4021-aed5-6e7e69d47606",
        "snapshot": true,
        "version": "8.5.0"
    },
    "event": {
        "agent_id_status": "verified",
        "dataset": "kibana.stack_monitoring.cluster_rules",
        "duration": 36973542,
        "ingested": "2022-10-11T13:18:22Z",
        "module": "kibana"
    },
    "host": {
        "architecture": "x86_64",
        "containerized": false,
        "hostname": "docker-fleet-agent",
        "id": "b6bc6723e51b43959ce07f0c3105c72d",
        "ip": [
            "192.168.0.7"
        ],
        "mac": [
            "02-42-C0-A8-00-07"
        ],
        "name": "docker-fleet-agent",
        "os": {
            "codename": "focal",
            "family": "debian",
            "kernel": "5.10.124-linuxkit",
            "name": "Ubuntu",
            "platform": "ubuntu",
            "type": "linux",
            "version": "20.04.5 LTS (Focal Fossa)"
        }
    },
    "kibana": {
        "cluster_rules": {
            "overdue": {
                "count": 0,
                "delay": {
                    "p50": 0,
                    "p99": 0
                }
            }
        },
        "elasticsearch.cluster.id": "-OYej1hvQty3Au1KnzPMBQ"
    },
    "metricset": {
        "name": "cluster_rules",
        "period": 10000
    },
    "service": {
        "address": "http://elastic-package-service-kibana-1:5601/api/monitoring_collection/cluster_rules",
        "type": "kibana"
    },
    "service.address": "0.0.0.0:5601",
    "service.id": "2cefd6b5-7e44-4d47-be34-b0cec003629d",
    "service.version": "8.5.0"
}

Node actions metrics

Exported fields
Field Description Type
@timestamp Date/time when the event originated. This is the date/time extracted from the event, typically representing when the event was generated by the source. If the event source has no original timestamp, this value is typically populated by the first time the event was received by the pipeline. Required field for all events. date
cluster_uuid alias
data_stream.dataset The field can contain anything that makes sense to signify the source of the data. Examples include nginx.access, prometheus, endpoint etc. For data streams that otherwise fit, but that do not have dataset set we use the value "generic" for the dataset value. event.dataset should have the same value as data_stream.dataset. Beyond the Elasticsearch data stream naming criteria noted above, the dataset value has additional restrictions: * Must not contain - * No longer than 100 characters constant_keyword
data_stream.namespace A user defined namespace. Namespaces are useful to allow grouping of data. Many users already organize their indices this way, and the data stream naming scheme now provides this best practice as a default. Many users will populate this field with default. If no value is used, it falls back to default. Beyond the Elasticsearch index naming criteria noted above, namespace value has the additional restrictions: * Must not contain - * No longer than 100 characters constant_keyword
data_stream.type An overarching type for the data stream. Currently allowed values are "logs" and "metrics". We expect to also add "traces" and "synthetics" in the near future. 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.dataset Name of the dataset. If an event source publishes more than one type of log or events (e.g. access log, error log), the dataset is used to specify which one the event comes from. It's recommended but not required to start the dataset name with the module name, followed by a dot, then the dataset name. 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 Name of the module this data is coming from. If your monitoring agent supports the concept of modules or plugins to process events of a given source (e.g. Apache logs), event.module should contain the name of this module. 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
kibana.elasticsearch.cluster.id keyword
kibana.node_actions.executions long
kibana.node_actions.failures long
kibana.node_actions.timeouts long
kibana_stats.kibana.uuid alias
kibana_stats.kibana.version alias
kibana_stats.timestamp alias
process.pid Process id. long
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.id Unique identifier of the running service. If the service is comprised of many nodes, the service.id should be the same for all nodes. This id should uniquely identify the service. This makes it possible to correlate logs and metrics for one specific service, no matter which particular node emitted the event. Note that if you need to see the events from one specific host of the service, you should filter on that host.name or host.id instead. 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
service.version Version of the service the data was collected from. This allows to look at a data set only for a specific version of a service. keyword
timestamp alias
Example
JSON 
{
    "@timestamp": "2022-10-11T13:21:36.785Z",
    "agent": {
        "ephemeral_id": "4e2e71ae-5cc0-4f0b-aad9-212bfcdd57d3",
        "id": "79e48fe3-2ecd-4021-aed5-6e7e69d47606",
        "name": "docker-fleet-agent",
        "type": "metricbeat",
        "version": "8.5.0"
    },
    "data_stream": {
        "dataset": "kibana.stack_monitoring.node_actions",
        "namespace": "ep",
        "type": "metrics"
    },
    "ecs": {
        "version": "8.0.0"
    },
    "elastic_agent": {
        "id": "79e48fe3-2ecd-4021-aed5-6e7e69d47606",
        "snapshot": true,
        "version": "8.5.0"
    },
    "event": {
        "agent_id_status": "verified",
        "dataset": "kibana.stack_monitoring.node_actions",
        "duration": 13700542,
        "ingested": "2022-10-11T13:21:37Z",
        "module": "kibana"
    },
    "host": {
        "architecture": "x86_64",
        "containerized": false,
        "hostname": "docker-fleet-agent",
        "id": "b6bc6723e51b43959ce07f0c3105c72d",
        "ip": [
            "192.168.0.7"
        ],
        "mac": [
            "02-42-C0-A8-00-07"
        ],
        "name": "docker-fleet-agent",
        "os": {
            "codename": "focal",
            "family": "debian",
            "kernel": "5.10.124-linuxkit",
            "name": "Ubuntu",
            "platform": "ubuntu",
            "type": "linux",
            "version": "20.04.5 LTS (Focal Fossa)"
        }
    },
    "kibana": {
        "elasticsearch.cluster.id": "Wm8-GgnLRcOMeOxcj_FKqA",
        "node_actions": {
            "executions": 0,
            "failures": 0,
            "timeouts": 0
        }
    },
    "metricset": {
        "name": "node_actions",
        "period": 10000
    },
    "service": {
        "address": "http://elastic-package-service-kibana-1:5601/api/monitoring_collection/node_actions",
        "type": "kibana"
    },
    "service.address": "0.0.0.0:5601",
    "service.id": "267b8a74-bc40-451f-bacb-ebca6ef242ab",
    "service.version": "8.5.0"
}

Node rules metrics

Exported fields
Field Description Type
@timestamp Date/time when the event originated. This is the date/time extracted from the event, typically representing when the event was generated by the source. If the event source has no original timestamp, this value is typically populated by the first time the event was received by the pipeline. Required field for all events. date
cluster_uuid alias
data_stream.dataset The field can contain anything that makes sense to signify the source of the data. Examples include nginx.access, prometheus, endpoint etc. For data streams that otherwise fit, but that do not have dataset set we use the value "generic" for the dataset value. event.dataset should have the same value as data_stream.dataset. Beyond the Elasticsearch data stream naming criteria noted above, the dataset value has additional restrictions: * Must not contain - * No longer than 100 characters constant_keyword
data_stream.namespace A user defined namespace. Namespaces are useful to allow grouping of data. Many users already organize their indices this way, and the data stream naming scheme now provides this best practice as a default. Many users will populate this field with default. If no value is used, it falls back to default. Beyond the Elasticsearch index naming criteria noted above, namespace value has the additional restrictions: * Must not contain - * No longer than 100 characters constant_keyword
data_stream.type An overarching type for the data stream. Currently allowed values are "logs" and "metrics". We expect to also add "traces" and "synthetics" in the near future. 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.dataset Name of the dataset. If an event source publishes more than one type of log or events (e.g. access log, error log), the dataset is used to specify which one the event comes from. It's recommended but not required to start the dataset name with the module name, followed by a dot, then the dataset name. 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 Name of the module this data is coming from. If your monitoring agent supports the concept of modules or plugins to process events of a given source (e.g. Apache logs), event.module should contain the name of this module. 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
kibana.elasticsearch.cluster.id keyword
kibana.node_rules.executions long
kibana.node_rules.failures long
kibana.node_rules.timeouts long
kibana_stats.kibana.uuid alias
kibana_stats.kibana.version alias
kibana_stats.timestamp alias
process.pid Process id. long
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.id Unique identifier of the running service. If the service is comprised of many nodes, the service.id should be the same for all nodes. This id should uniquely identify the service. This makes it possible to correlate logs and metrics for one specific service, no matter which particular node emitted the event. Note that if you need to see the events from one specific host of the service, you should filter on that host.name or host.id instead. 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
service.version Version of the service the data was collected from. This allows to look at a data set only for a specific version of a service. keyword
timestamp alias
Example
JSON 
{
    "@timestamp": "2022-10-11T13:23:15.907Z",
    "agent": {
        "ephemeral_id": "4e2e71ae-5cc0-4f0b-aad9-212bfcdd57d3",
        "id": "79e48fe3-2ecd-4021-aed5-6e7e69d47606",
        "name": "docker-fleet-agent",
        "type": "metricbeat",
        "version": "8.5.0"
    },
    "data_stream": {
        "dataset": "kibana.stack_monitoring.node_rules",
        "namespace": "ep",
        "type": "metrics"
    },
    "ecs": {
        "version": "8.0.0"
    },
    "elastic_agent": {
        "id": "79e48fe3-2ecd-4021-aed5-6e7e69d47606",
        "snapshot": true,
        "version": "8.5.0"
    },
    "event": {
        "agent_id_status": "verified",
        "dataset": "kibana.stack_monitoring.node_rules",
        "duration": 11258084,
        "ingested": "2022-10-11T13:23:16Z",
        "module": "kibana"
    },
    "host": {
        "architecture": "x86_64",
        "containerized": false,
        "hostname": "docker-fleet-agent",
        "id": "b6bc6723e51b43959ce07f0c3105c72d",
        "ip": [
            "192.168.0.7"
        ],
        "mac": [
            "02-42-C0-A8-00-07"
        ],
        "name": "docker-fleet-agent",
        "os": {
            "codename": "focal",
            "family": "debian",
            "kernel": "5.10.124-linuxkit",
            "name": "Ubuntu",
            "platform": "ubuntu",
            "type": "linux",
            "version": "20.04.5 LTS (Focal Fossa)"
        }
    },
    "kibana": {
        "elasticsearch.cluster.id": "A0ZRwT9JTTW4XHNhUd0hUg",
        "node_rules": {
            "executions": 0,
            "failures": 0,
            "timeouts": 0
        }
    },
    "metricset": {
        "name": "node_rules",
        "period": 10000
    },
    "service": {
        "address": "http://elastic-package-service-kibana-1:5601/api/monitoring_collection/node_rules",
        "type": "kibana"
    },
    "service.address": "0.0.0.0:5601",
    "service.id": "9d55da50-cf7c-49c1-9328-a164de23d186",
    "service.version": "8.5.0"
}
Changelog
Version Details Minimum Kibana version
2.9.0 Enhancement (View pull request)
Mark password as secret so Fleet cannot reveal stored credentials. After upgrading, existing values cannot be read back and can only be overwritten.		 9.0.0
8.11.2
2.8.0 Enhancement (View pull request)
Update package spec to 3.0.0		 9.0.0
8.10.1
2.7.0 Enhancement (View pull request)
Added 9.0.0 constraint		 9.0.0
8.10.1
2.6.1 Bug fix (View pull request)
Updated SSL description to be uniform and to include links to documentation.		 8.10.1
2.6.0 Enhancement (View pull request)
Allow the usage of deprecated log input and support for stack 9.0		 8.10.1
2.5.5 Bug fix (View pull request)
Add field mapping for the ECS span.id field.		 8.10.1
2.5.4 Enhancement (View pull request)
Adding missing fields in the Kibana status metricset		 8.10.1
2.5.3 Enhancement (View pull request)
Remove documentation about xpack.enabled settings		 8.10.1
2.5.2 Enhancement (View pull request)
Adding SO name to audit events		 8.10.1
2.5.1 Enhancement (View pull request)
Add memory utilization metric		 8.10.1
2.5.0 Enhancement (View pull request)
Make Stack Monitoring metrics GA		 8.10.1
2.4.0 Enhancement (View pull request)
Add task manager metric		 8.10.0
2.3.6 Bug fix (View pull request)
Add basepath to kibana manifest		 8.9.0
2.3.5 Enhancement (View pull request)
Add background task utilization metric		 8.9.0
2.3.4 Bug fix (View pull request)
Add event fields field mapping to Kibana logs		 8.5.0
2.3.3 Bug fix (View pull request)
Add host.ip field mapping to Kibana logs		 8.5.0
2.3.2 Bug fix (View pull request)
Add explicit mapping for event timestamp fields		 8.5.0
2.3.1 Enhancement (View pull request)
Release GA version		 8.5.0
2.3.1-preview1 Bug fix (View pull request)
Clarify that the metrics collected power the Stack Monitoring application		 —
2.3.0-preview1 Enhancement (View pull request)
Add condition configuration for logs and metrics		 —
2.2.1-preview1 Enhancement (View pull request)
Add period variable to define polling frequency

Enhancement (View pull request)
Update Kibana documentation for Stack Monitoring UI		 —
2.2.0-preview1 Enhancement (View pull request)
Add ssl configuration option for metricsets		 —
2.1.0-preview1 Bug fix (View pull request)
Fix logo

Enhancement (View pull request)
Suffix stack_monitoring to the datasets

Enhancement (View pull request)
Add alerts data streams

Bug fix (View pull request)
Align metrics mappings with metricbeat		 —
1.0.4 Enhancement (View pull request)
Add link to Kibana documentation		 —
1.0.3 Enhancement (View pull request)
Add documentation for multi-fields		 —
1.0.2 Bug fix (View pull request)
Revert to experimental		 —
1.0.1 Enhancement (View pull request)
Uniform with guidelines		 —
1.0.0 Enhancement (View pull request)
initial release		 7.15.0