Beta feature
This functionality is in beta and is subject to change. The design and code is less mature than official generally available features and is being provided as-is with no warranties. Beta features are not subject to the support service level agreement of official generally available features.
What is an Elastic integration?

This integration is powered by Elastic Agent. Elastic Agent is a single, unified way to add monitoring for logs, metrics, and other types of data to a host. It can also protect hosts from security threats, query data from operating systems, forward data from remote services or hardware, and more. Refer to our documentation for a detailed comparison between Beats and Elastic Agent.

Prefer to use Beats for this use case? See Filebeat modules for logs or Metricbeat modules for metrics.

Overview

This integration periodically fetches metrics from ActiveMQ servers. It can parse broker, queue and topic. logs created by the ActiveMQ server - system logs and audit logs.

Compatibility

The ActiveMQ datasets were tested with ActiveMQ 5.15.9 or higher (independent from operating system).

Logs

ActiveMQ Logs

Collects the ActiveMQ System logs.

An example event for log looks as following:

{
    "@timestamp": "2019-11-27T15:09:34.491Z",
    "activemq": {
        "caller": "org.apache.activemq.store.kahadb.MessageDatabase",
        "log": {
            "stack_trace": ""
        },
        "thread": "main"
    },
    "agent": {
        "ephemeral_id": "25872b0f-3987-4b56-8a85-0c5cc3b781c5",
        "hostname": "docker-fleet-agent",
        "id": "2bc8293d-05be-4978-829c-195a572275bb",
        "name": "docker-fleet-agent",
        "type": "filebeat",
        "version": "7.15.0"
    },
    "data_stream": {
        "dataset": "activemq.log",
        "namespace": "ep",
        "type": "logs"
    },
    "ecs": {
        "version": "1.12.0"
    },
    "elastic_agent": {
        "id": "2bc8293d-05be-4978-829c-195a572275bb",
        "snapshot": true,
        "version": "7.15.0"
    },
    "event": {
        "agent_id_status": "verified",
        "dataset": "activemq.log",
        "ingested": "2021-09-28T09:17:42Z",
        "kind": "event",
        "timezone": "+00:00",
        "type": "info"
    },
    "host": {
        "architecture": "x86_64",
        "containerized": true,
        "hostname": "docker-fleet-agent",
        "id": "6505f7ca36739e7eb909bdb52bf3ec18",
        "ip": [
            "172.26.0.7"
        ],
        "mac": [
            "02:42:ac:1a:00:07"
        ],
        "name": "docker-fleet-agent",
        "os": {
            "codename": "Core",
            "family": "redhat",
            "kernel": "5.10.47-linuxkit",
            "name": "CentOS Linux",
            "platform": "centos",
            "type": "linux",
            "version": "7 (Core)"
        }
    },
    "input": {
        "type": "log"
    },
    "log": {
        "file": {
            "path": "/tmp/service_logs/activemq.log"
        },
        "level": "INFO",
        "offset": 0
    },
    "message": "KahaDB is version 6"
}

Exported fields

FieldDescriptionType
@timestamp
Event timestamp.
date
activemq.caller
Name of the caller issuing the logging request (class or resource).
keyword
activemq.log.stack_trace
keyword
activemq.thread
Thread that generated the logging event.
keyword
activemq.user
User that generated the logging event.
keyword
data_stream.dataset
Data stream dataset.
constant_keyword
data_stream.namespace
Data stream namespace.
constant_keyword
data_stream.type
Data stream type.
constant_keyword
destination.domain
Destination domain.
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.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.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
file.path
Full path to the file, including the file name. It should include the drive letter, when appropriate.
keyword
http.request.method
HTTP request method. Prior to ECS 1.6.0 the following guidance was provided: "The field value must be normalized to lowercase for querying." As of ECS 1.6.0, the guidance is deprecated because the original case of the method may be useful in anomaly detection. Original case will be mandated in ECS 2.0.0
keyword
http.request.referrer
Referrer for this HTTP request.
keyword
http.response.body.bytes
Size in bytes of the response body.
long
http.response.status_code
HTTP response status code.
long
http.version
HTTP version.
keyword
input.type
Input type
keyword
log.file.path
Full path to the log file this event came from, including the file name. It should include the drive letter, when appropriate. If the event wasn't read from a log file, do not populate this field.
keyword
log.flags
Log flags
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.offset
Log offset
long
message
For log events the message field contains the log message, optimized for viewing in a log viewer. For structured logs without an original message field, other fields can be concatenated to form a human-readable summary of the event. If multiple messages exist, they can be combined into one message.
match_only_text
process.pid
Process id.
long
process.thread.id
Thread ID.
long
source.address
Some event source addresses are defined ambiguously. The event will sometimes list an IP, a domain or a unix socket. You should always store the raw address in the .address field. Then it should be duplicated to .ip or .domain, depending on which one it is.
keyword
source.as.number
Unique number allocated to the autonomous system. The autonomous system number (ASN) uniquely identifies each network on the Internet.
long
source.as.organization.name
Organization name.
keyword
source.domain
Source domain.
keyword
source.geo.city_name
City name.
keyword
source.geo.continent_name
Name of the continent.
keyword
source.geo.country_iso_code
Country ISO code.
keyword
source.geo.country_name
Country name.
keyword
source.geo.location
Longitude and latitude.
geo_point
source.geo.region_iso_code
Region ISO code.
keyword
source.geo.region_name
Region name.
keyword
source.ip
IP address of the source (IPv4 or IPv6).
ip
tags
List of keywords used to tag each event.
keyword
tls.cipher
String indicating the cipher used during the current connection.
keyword
tls.version
Numeric part of the version parsed from the original string.
keyword
tls.version_protocol
Normalized lowercase protocol name parsed from original string.
keyword
url.domain
Domain of the url, such as "www.elastic.co". In some cases a URL may refer to an IP and/or port directly, without a domain name. In this case, the IP address would go to the domain field. If the URL contains a literal IPv6 address enclosed by [ and ] (IETF RFC 2732), the [ and ] characters should also be captured in the domain field.
keyword
url.extension
The field contains the file extension from the original request url, excluding the leading dot. The file extension is only set if it exists, as not every url has a file extension. The leading period must not be included. For example, the value must be "png", not ".png". Note that when the file name has multiple extensions (example.tar.gz), only the last one should be captured ("gz", not "tar.gz").
keyword
url.original
Unmodified original url as seen in the event source. Note that in network monitoring, the observed URL may be a full URL, whereas in access logs, the URL is often just represented as a path. This field is meant to represent the URL as it was observed, complete or not.
wildcard
url.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.name
Short name or login of the user.
keyword
user_agent.device.name
Name of the device.
keyword
user_agent.name
Name of the user agent.
keyword
user_agent.original
Unparsed user_agent string.
keyword
user_agent.os.full
Operating system name, including the version or code name.
keyword
user_agent.os.name
Operating system name, without the version.
keyword
user_agent.os.version
Operating system version as a raw string.
keyword
user_agent.version
Version of the user agent.
keyword

Audit Logs

Audit logs collects the ActiveMQ Audit logs.

An example event for audit looks as following:

{
    "@timestamp": "2021-09-28T09:15:45.696Z",
    "activemq": {
        "thread": "qtp443290224-47",
        "user": "anonymous"
    },
    "agent": {
        "ephemeral_id": "749d825d-e21b-425d-9a78-435f24b0d99b",
        "hostname": "docker-fleet-agent",
        "id": "2bc8293d-05be-4978-829c-195a572275bb",
        "name": "docker-fleet-agent",
        "type": "filebeat",
        "version": "7.15.0"
    },
    "data_stream": {
        "dataset": "activemq.audit",
        "namespace": "ep",
        "type": "logs"
    },
    "ecs": {
        "version": "1.12.0"
    },
    "elastic_agent": {
        "id": "2bc8293d-05be-4978-829c-195a572275bb",
        "snapshot": true,
        "version": "7.15.0"
    },
    "event": {
        "agent_id_status": "verified",
        "dataset": "activemq.audit",
        "ingested": "2021-09-28T09:15:49Z",
        "kind": "event",
        "type": "info"
    },
    "host": {
        "architecture": "x86_64",
        "containerized": true,
        "hostname": "docker-fleet-agent",
        "id": "6505f7ca36739e7eb909bdb52bf3ec18",
        "ip": [
            "172.26.0.7"
        ],
        "mac": [
            "02:42:ac:1a:00:07"
        ],
        "name": "docker-fleet-agent",
        "os": {
            "codename": "Core",
            "family": "redhat",
            "kernel": "5.10.47-linuxkit",
            "name": "CentOS Linux",
            "platform": "centos",
            "type": "linux",
            "version": "7 (Core)"
        }
    },
    "input": {
        "type": "log"
    },
    "log": {
        "file": {
            "path": "/tmp/service_logs/audit.log"
        },
        "level": "INFO",
        "offset": 0
    },
    "message": "called org.apache.activemq.broker.jmx.QueueView.retryMessages[] at 27-11-2019 08:45:57,213",
    "user": {
        "name": "anonymous"
    }
}

Exported fields

FieldDescriptionType
@timestamp
Event timestamp.
date
activemq.caller
Name of the caller issuing the logging request (class or resource).
keyword
activemq.thread
Thread that generated the logging event.
keyword
activemq.user
User that generated the logging event.
keyword
cloud.account.id
The cloud account or organization id used to identify different entities in a multi-tenant environment. Examples: AWS account id, Google Cloud ORG Id, or other unique identifier.
keyword
cloud.availability_zone
Availability zone in which this host is running.
keyword
cloud.image.id
Image ID for the cloud instance.
keyword
cloud.instance.id
Instance ID of the host machine.
keyword
cloud.instance.name
Instance name of the host machine.
keyword
cloud.machine.type
Machine type of the host machine.
keyword
cloud.project.id
Name of the project in Google Cloud.
keyword
cloud.provider
Name of the cloud provider. Example values are aws, azure, gcp, or digitalocean.
keyword
cloud.region
Region in which this host is running.
keyword
container.id
Unique container id.
keyword
container.image.name
Name of the image the container was built on.
keyword
container.labels
Image labels.
object
container.name
Container name.
keyword
data_stream.dataset
Data stream dataset.
constant_keyword
data_stream.namespace
Data stream namespace.
constant_keyword
data_stream.type
Data stream type.
constant_keyword
destination.domain
Destination domain.
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.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.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
file.path
Full path to the file, including the file name. It should include the drive letter, when appropriate.
keyword
host.architecture
Operating system architecture.
keyword
host.containerized
If the host is a container.
boolean
host.domain
Name of the domain of which the host is a member. For example, on Windows this could be the host's Active Directory domain or NetBIOS domain name. For Linux this could be the domain of the host's LDAP provider.
keyword
host.hostname
Hostname of the host. It normally contains what the hostname command returns on the host machine.
keyword
host.id
Unique host id. As hostname is not always unique, use values that are meaningful in your environment. Example: The current usage of beat.name.
keyword
host.ip
Host ip addresses.
ip
host.mac
Host mac addresses.
keyword
host.name
Name of the host. It can contain what hostname returns on Unix systems, the fully qualified domain name, or a name specified by the user. The sender decides which value to use.
keyword
host.os.build
OS build information.
keyword
host.os.codename
OS codename, if any.
keyword
host.os.family
OS family (such as redhat, debian, freebsd, windows).
keyword
host.os.kernel
Operating system kernel version as a raw string.
keyword
host.os.name
Operating system name, without the version.
keyword
host.os.platform
Operating system platform (such centos, ubuntu, windows).
keyword
host.os.version
Operating system version as a raw string.
keyword
host.type
Type of host. For Cloud providers this can be the machine type like t2.medium. If vm, this could be the container, for example, or other information meaningful in your environment.
keyword
http.request.method
HTTP request method. Prior to ECS 1.6.0 the following guidance was provided: "The field value must be normalized to lowercase for querying." As of ECS 1.6.0, the guidance is deprecated because the original case of the method may be useful in anomaly detection. Original case will be mandated in ECS 2.0.0
keyword
http.request.referrer
Referrer for this HTTP request.
keyword
http.response.body.bytes
Size in bytes of the response body.
long
http.response.status_code
HTTP response status code.
long
http.version
HTTP version.
keyword
input.type
Input type
keyword
log.file.path
Full path to the log file this event came from, including the file name. It should include the drive letter, when appropriate. If the event wasn't read from a log file, do not populate this field.
keyword
log.level
Original log level of the log event. If the source of the event provides a log level or textual severity, this is the one that goes in log.level. If your source doesn't specify one, you may put your event transport's severity here (e.g. Syslog severity). Some examples are warn, err, i, informational.
keyword
log.offset
Log offset
long
message
For log events the message field contains the log message, optimized for viewing in a log viewer. For structured logs without an original message field, other fields can be concatenated to form a human-readable summary of the event. If multiple messages exist, they can be combined into one message.
match_only_text
process.pid
Process id.
long
process.thread.id
Thread ID.
long
source.address
Some event source addresses are defined ambiguously. The event will sometimes list an IP, a domain or a unix socket. You should always store the raw address in the .address field. Then it should be duplicated to .ip or .domain, depending on which one it is.
keyword
source.as.number
Unique number allocated to the autonomous system. The autonomous system number (ASN) uniquely identifies each network on the Internet.
long
source.as.organization.name
Organization name.
keyword
source.domain
Source domain.
keyword
source.geo.city_name
City name.
keyword
source.geo.continent_name
Name of the continent.
keyword
source.geo.country_iso_code
Country ISO code.
keyword
source.geo.country_name
Country name.
keyword
source.geo.location
Longitude and latitude.
geo_point
source.geo.region_iso_code
Region ISO code.
keyword
source.geo.region_name
Region name.
keyword
source.ip
IP address of the source (IPv4 or IPv6).
ip
tags
List of keywords used to tag each event.
keyword
tls.cipher
String indicating the cipher used during the current connection.
keyword
tls.version
Numeric part of the version parsed from the original string.
keyword
tls.version_protocol
Normalized lowercase protocol name parsed from original string.
keyword
url.domain
Domain of the url, such as "www.elastic.co". In some cases a URL may refer to an IP and/or port directly, without a domain name. In this case, the IP address would go to the domain field. If the URL contains a literal IPv6 address enclosed by [ and ] (IETF RFC 2732), the [ and ] characters should also be captured in the domain field.
keyword
url.extension
The field contains the file extension from the original request url, excluding the leading dot. The file extension is only set if it exists, as not every url has a file extension. The leading period must not be included. For example, the value must be "png", not ".png". Note that when the file name has multiple extensions (example.tar.gz), only the last one should be captured ("gz", not "tar.gz").
keyword
url.original
Unmodified original url as seen in the event source. Note that in network monitoring, the observed URL may be a full URL, whereas in access logs, the URL is often just represented as a path. This field is meant to represent the URL as it was observed, complete or not.
wildcard
url.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.name
Short name or login of the user.
keyword
user_agent.device.name
Name of the device.
keyword
user_agent.name
Name of the user agent.
keyword
user_agent.original
Unparsed user_agent string.
keyword
user_agent.os.full
Operating system name, including the version or code name.
keyword
user_agent.os.name
Operating system name, without the version.
keyword
user_agent.os.version
Operating system version as a raw string.
keyword
user_agent.version
Version of the user agent.
keyword

Metrics

Broker Metrics

The server broker stream collects data from the ActiveMQ broker module.

An example event for broker looks as following:

{
    "@timestamp": "2021-09-28T09:16:43.707Z",
    "activemq": {
        "broker": {
            "connections": {
                "count": 11
            },
            "consumers": {
                "count": 0
            },
            "mbean": "org.apache.activemq:brokerName=localhost,type=Broker",
            "memory": {
                "broker": {
                    "pct": 0
                },
                "store": {
                    "pct": 0
                },
                "temp": {
                    "pct": 0
                }
            },
            "messages": {
                "count": 11,
                "dequeue": {
                    "count": 0
                },
                "enqueue": {
                    "count": 24
                }
            },
            "name": "localhost",
            "producers": {
                "count": 0
            }
        }
    },
    "agent": {
        "ephemeral_id": "ec4b57d3-beb8-43d6-8844-702f75a21fa3",
        "hostname": "docker-fleet-agent",
        "id": "2bc8293d-05be-4978-829c-195a572275bb",
        "name": "docker-fleet-agent",
        "type": "metricbeat",
        "version": "7.15.0"
    },
    "data_stream": {
        "dataset": "activemq.broker",
        "namespace": "ep",
        "type": "metrics"
    },
    "ecs": {
        "version": "1.11.0"
    },
    "elastic_agent": {
        "id": "2bc8293d-05be-4978-829c-195a572275bb",
        "snapshot": true,
        "version": "7.15.0"
    },
    "event": {
        "agent_id_status": "verified",
        "dataset": "activemq.broker",
        "duration": 11296900,
        "ingested": "2021-09-28T09:16:44Z",
        "module": "activemq"
    },
    "host": {
        "architecture": "x86_64",
        "containerized": true,
        "hostname": "docker-fleet-agent",
        "id": "6505f7ca36739e7eb909bdb52bf3ec18",
        "ip": [
            "172.26.0.7"
        ],
        "mac": [
            "02:42:ac:1a:00:07"
        ],
        "name": "docker-fleet-agent",
        "os": {
            "codename": "Core",
            "family": "redhat",
            "kernel": "5.10.47-linuxkit",
            "name": "CentOS Linux",
            "platform": "centos",
            "type": "linux",
            "version": "7 (Core)"
        }
    },
    "metricset": {
        "name": "broker",
        "period": 10000
    },
    "service": {
        "address": "http://elastic-package-service_activemq_1:8161/api/jolokia/%3FignoreErrors=true\u0026canonicalNaming=false",
        "type": "activemq"
    }
}

Exported fields

FieldDescriptionType
@timestamp
Event timestamp.
date
activemq.broker.connections.count
Total number of connections.
long
activemq.broker.consumers.count
Number of message consumers.
long
activemq.broker.mbean
Mbean that this event is related to
keyword
activemq.broker.memory.broker.pct
The percentage of the memory limit used.
scaled_float
activemq.broker.memory.store.pct
Percent of store limit used.
scaled_float
activemq.broker.memory.temp.pct
The percentage of the temp usage limit used.
scaled_float
activemq.broker.messages.count
Number of unacknowledged messages on the broker.
long
activemq.broker.messages.dequeue.count
Number of messages that have been acknowledged on the broker.
long
activemq.broker.messages.enqueue.count
Number of messages that have been sent to the destination.
long
activemq.broker.name
Broker name
keyword
activemq.broker.producers.count
Number of message producers active on destinations on the broker.
long
data_stream.dataset
Data stream dataset.
constant_keyword
data_stream.namespace
Data stream namespace.
constant_keyword
data_stream.type
Data stream type.
constant_keyword
destination.domain
Destination domain.
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.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.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
file.path
Full path to the file, including the file name. It should include the drive letter, when appropriate.
keyword
http.request.method
HTTP request method. Prior to ECS 1.6.0 the following guidance was provided: "The field value must be normalized to lowercase for querying." As of ECS 1.6.0, the guidance is deprecated because the original case of the method may be useful in anomaly detection. Original case will be mandated in ECS 2.0.0
keyword
http.request.referrer
Referrer for this HTTP request.
keyword
http.response.body.bytes
Size in bytes of the response body.
long
http.response.status_code
HTTP response status code.
long
http.version
HTTP version.
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
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
process.thread.id
Thread ID.
long
service.address
The type of the service data is collected from. The type can be used to group and correlate logs and metrics from one service address. Example: If logs or metrics are collected from Elasticsearch, service.address would be elasticsearch.
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
source.address
Some event source addresses are defined ambiguously. The event will sometimes list an IP, a domain or a unix socket. You should always store the raw address in the .address field. Then it should be duplicated to .ip or .domain, depending on which one it is.
keyword
source.as.number
Unique number allocated to the autonomous system. The autonomous system number (ASN) uniquely identifies each network on the Internet.
long
source.as.organization.name
Organization name.
keyword
source.domain
Source domain.
keyword
source.geo.city_name
City name.
keyword
source.geo.continent_name
Name of the continent.
keyword
source.geo.country_iso_code
Country ISO code.
keyword
source.geo.country_name
Country name.
keyword
source.geo.location
Longitude and latitude.
geo_point
source.geo.region_iso_code
Region ISO code.
keyword
source.geo.region_name
Region name.
keyword
source.ip
IP address of the source (IPv4 or IPv6).
ip
tags
List of keywords used to tag each event.
keyword
tls.cipher
String indicating the cipher used during the current connection.
keyword
tls.version
Numeric part of the version parsed from the original string.
keyword
tls.version_protocol
Normalized lowercase protocol name parsed from original string.
keyword
url.domain
Domain of the url, such as "www.elastic.co". In some cases a URL may refer to an IP and/or port directly, without a domain name. In this case, the IP address would go to the domain field. If the URL contains a literal IPv6 address enclosed by [ and ] (IETF RFC 2732), the [ and ] characters should also be captured in the domain field.
keyword
url.extension
The field contains the file extension from the original request url, excluding the leading dot. The file extension is only set if it exists, as not every url has a file extension. The leading period must not be included. For example, the value must be "png", not ".png". Note that when the file name has multiple extensions (example.tar.gz), only the last one should be captured ("gz", not "tar.gz").
keyword
url.original
Unmodified original url as seen in the event source. Note that in network monitoring, the observed URL may be a full URL, whereas in access logs, the URL is often just represented as a path. This field is meant to represent the URL as it was observed, complete or not.
wildcard
url.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.name
Short name or login of the user.
keyword
user_agent.device.name
Name of the device.
keyword
user_agent.name
Name of the user agent.
keyword
user_agent.original
Unparsed user_agent string.
keyword
user_agent.os.full
Operating system name, including the version or code name.
keyword
user_agent.os.name
Operating system name, without the version.
keyword
user_agent.os.version
Operating system version as a raw string.
keyword
user_agent.version
Version of the user agent.
keyword

Queue Metrics

The server queue stream collects data from the ActiveMQ queue module.

An example event for queue looks as following:

{
    "@timestamp": "2021-09-28T09:18:39.882Z",
    "activemq": {
        "queue": {
            "consumers": {
                "count": 0
            },
            "mbean": "org.apache.activemq:brokerName=localhost,destinationName=TEST,destinationType=Queue,type=Broker",
            "memory": {
                "broker": {
                    "pct": 0
                }
            },
            "messages": {
                "dequeue": {
                    "count": 0
                },
                "dispatch": {
                    "count": 0
                },
                "enqueue": {
                    "count": 11,
                    "time": {
                        "avg": 0,
                        "max": 0,
                        "min": 0
                    }
                },
                "expired": {
                    "count": 0
                },
                "inflight": {
                    "count": 0
                },
                "size": {
                    "avg": 1035
                }
            },
            "name": "TEST",
            "producers": {
                "count": 0
            },
            "size": 11
        }
    },
    "agent": {
        "ephemeral_id": "30c7946c-1a1e-4925-8269-683f5b13de28",
        "hostname": "docker-fleet-agent",
        "id": "2bc8293d-05be-4978-829c-195a572275bb",
        "name": "docker-fleet-agent",
        "type": "metricbeat",
        "version": "7.15.0"
    },
    "data_stream": {
        "dataset": "activemq.queue",
        "namespace": "ep",
        "type": "metrics"
    },
    "ecs": {
        "version": "1.11.0"
    },
    "elastic_agent": {
        "id": "2bc8293d-05be-4978-829c-195a572275bb",
        "snapshot": true,
        "version": "7.15.0"
    },
    "event": {
        "agent_id_status": "verified",
        "dataset": "activemq.queue",
        "duration": 15094500,
        "ingested": "2021-09-28T09:18:43Z",
        "module": "activemq"
    },
    "host": {
        "architecture": "x86_64",
        "containerized": true,
        "hostname": "docker-fleet-agent",
        "id": "6505f7ca36739e7eb909bdb52bf3ec18",
        "ip": [
            "172.26.0.7"
        ],
        "mac": [
            "02:42:ac:1a:00:07"
        ],
        "name": "docker-fleet-agent",
        "os": {
            "codename": "Core",
            "family": "redhat",
            "kernel": "5.10.47-linuxkit",
            "name": "CentOS Linux",
            "platform": "centos",
            "type": "linux",
            "version": "7 (Core)"
        }
    },
    "metricset": {
        "name": "queue",
        "period": 10000
    },
    "service": {
        "address": "http://elastic-package-service_activemq_1:8161/api/jolokia/%3FignoreErrors=true\u0026canonicalNaming=false",
        "type": "activemq"
    }
}

Exported fields

FieldDescriptionType
@timestamp
Event timestamp.
date
activemq.queue.consumers.count
Number of consumers subscribed to this destination.
long
activemq.queue.mbean
Mbean that this event is related to
keyword
activemq.queue.memory.broker.pct
Percent of memory limit used.
scaled_float
activemq.queue.messages.dequeue.count
Number of messages that has been acknowledged (and removed) from the destination.
long
activemq.queue.messages.dispatch.count
Number of messages that has been delivered to consumers, including those not acknowledged.
long
activemq.queue.messages.enqueue.count
Number of messages that have been sent to the destination.
long
activemq.queue.messages.enqueue.time.avg
Average time a message was held on this destination.
double
activemq.queue.messages.enqueue.time.max
The longest time a message was held on this destination.
long
activemq.queue.messages.enqueue.time.min
The shortest time a message was held on this destination.
long
activemq.queue.messages.expired.count
Number of messages that have been expired.
long
activemq.queue.messages.inflight.count
Number of messages that have been dispatched to, but not acknowledged by, consumers.
long
activemq.queue.messages.size.avg
Average message size on this destination.
long
activemq.queue.name
Queue name
keyword
activemq.queue.producers.count
Number of producers attached to this destination.
long
activemq.queue.size
Queue size
long
data_stream.dataset
Data stream dataset.
constant_keyword
data_stream.namespace
Data stream namespace.
constant_keyword
data_stream.type
Data stream type.
constant_keyword
destination.domain
Destination domain.
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.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.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
file.path
Full path to the file, including the file name. It should include the drive letter, when appropriate.
keyword
http.request.method
HTTP request method. Prior to ECS 1.6.0 the following guidance was provided: "The field value must be normalized to lowercase for querying." As of ECS 1.6.0, the guidance is deprecated because the original case of the method may be useful in anomaly detection. Original case will be mandated in ECS 2.0.0
keyword
http.request.referrer
Referrer for this HTTP request.
keyword
http.response.body.bytes
Size in bytes of the response body.
long
http.response.status_code
HTTP response status code.
long
http.version
HTTP version.
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
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
process.thread.id
Thread ID.
long
service.address
The type of the service data is collected from. The type can be used to group and correlate logs and metrics from one service address. Example: If logs or metrics are collected from Elasticsearch, service.address would be elasticsearch.
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
source.address
Some event source addresses are defined ambiguously. The event will sometimes list an IP, a domain or a unix socket. You should always store the raw address in the .address field. Then it should be duplicated to .ip or .domain, depending on which one it is.
keyword
source.as.number
Unique number allocated to the autonomous system. The autonomous system number (ASN) uniquely identifies each network on the Internet.
long
source.as.organization.name
Organization name.
keyword
source.domain
Source domain.
keyword
source.geo.city_name
City name.
keyword
source.geo.continent_name
Name of the continent.
keyword
source.geo.country_iso_code
Country ISO code.
keyword
source.geo.country_name
Country name.
keyword
source.geo.location
Longitude and latitude.
geo_point
source.geo.region_iso_code
Region ISO code.
keyword
source.geo.region_name
Region name.
keyword
source.ip
IP address of the source (IPv4 or IPv6).
ip
tags
List of keywords used to tag each event.
keyword
tls.cipher
String indicating the cipher used during the current connection.
keyword
tls.version
Numeric part of the version parsed from the original string.
keyword
tls.version_protocol
Normalized lowercase protocol name parsed from original string.
keyword
url.domain
Domain of the url, such as "www.elastic.co". In some cases a URL may refer to an IP and/or port directly, without a domain name. In this case, the IP address would go to the domain field. If the URL contains a literal IPv6 address enclosed by [ and ] (IETF RFC 2732), the [ and ] characters should also be captured in the domain field.
keyword
url.extension
The field contains the file extension from the original request url, excluding the leading dot. The file extension is only set if it exists, as not every url has a file extension. The leading period must not be included. For example, the value must be "png", not ".png". Note that when the file name has multiple extensions (example.tar.gz), only the last one should be captured ("gz", not "tar.gz").
keyword
url.original
Unmodified original url as seen in the event source. Note that in network monitoring, the observed URL may be a full URL, whereas in access logs, the URL is often just represented as a path. This field is meant to represent the URL as it was observed, complete or not.
wildcard
url.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.name
Short name or login of the user.
keyword
user_agent.device.name
Name of the device.
keyword
user_agent.name
Name of the user agent.
keyword
user_agent.original
Unparsed user_agent string.
keyword
user_agent.os.full
Operating system name, including the version or code name.
keyword
user_agent.os.name
Operating system name, without the version.
keyword
user_agent.os.version
Operating system version as a raw string.
keyword
user_agent.version
Version of the user agent.
keyword

Topic Metrics

The server topic stream collects data from the ActiveMQ topic module.

An example event for topic looks as following:

{
    "@timestamp": "2021-09-28T09:19:34.266Z",
    "activemq": {
        "topic": {
            "consumers": {
                "count": 0
            },
            "mbean": "org.apache.activemq:brokerName=localhost,destinationName=ActiveMQ.Advisory.MasterBroker,destinationType=Topic,type=Broker",
            "memory": {
                "broker": {
                    "pct": 0
                }
            },
            "messages": {
                "dequeue": {
                    "count": 0
                },
                "dispatch": {
                    "count": 0
                },
                "enqueue": {
                    "count": 1,
                    "time": {
                        "avg": 0,
                        "max": 0,
                        "min": 0
                    }
                },
                "expired": {
                    "count": 0
                },
                "inflight": {
                    "count": 0
                },
                "size": {
                    "avg": 1024
                }
            },
            "name": "ActiveMQ.Advisory.MasterBroker",
            "producers": {
                "count": 0
            }
        }
    },
    "agent": {
        "ephemeral_id": "f5635b0d-b202-4fa6-9624-9248bd61b9ef",
        "hostname": "docker-fleet-agent",
        "id": "2bc8293d-05be-4978-829c-195a572275bb",
        "name": "docker-fleet-agent",
        "type": "metricbeat",
        "version": "7.15.0"
    },
    "data_stream": {
        "dataset": "activemq.topic",
        "namespace": "ep",
        "type": "metrics"
    },
    "ecs": {
        "version": "1.11.0"
    },
    "elastic_agent": {
        "id": "2bc8293d-05be-4978-829c-195a572275bb",
        "snapshot": true,
        "version": "7.15.0"
    },
    "event": {
        "agent_id_status": "verified",
        "dataset": "activemq.topic",
        "duration": 13002400,
        "ingested": "2021-09-28T09:19:37Z",
        "module": "activemq"
    },
    "host": {
        "architecture": "x86_64",
        "containerized": true,
        "hostname": "docker-fleet-agent",
        "id": "6505f7ca36739e7eb909bdb52bf3ec18",
        "ip": [
            "172.26.0.7"
        ],
        "mac": [
            "02:42:ac:1a:00:07"
        ],
        "name": "docker-fleet-agent",
        "os": {
            "codename": "Core",
            "family": "redhat",
            "kernel": "5.10.47-linuxkit",
            "name": "CentOS Linux",
            "platform": "centos",
            "type": "linux",
            "version": "7 (Core)"
        }
    },
    "metricset": {
        "name": "topic",
        "period": 10000
    },
    "service": {
        "address": "http://elastic-package-service_activemq_1:8161/api/jolokia/%3FignoreErrors=true\u0026canonicalNaming=false",
        "type": "activemq"
    }
}

Exported fields

FieldDescriptionType
@timestamp
Event timestamp.
date
activemq.topic.consumers.count
Number of consumers subscribed to this destination.
long
activemq.topic.mbean
Mbean that this event is related to
keyword
activemq.topic.memory.broker.pct
Percent of memory limit used.
scaled_float
activemq.topic.messages.dequeue.count
Number of messages that has been acknowledged (and removed) from the destination.
long
activemq.topic.messages.dispatch.count
Number of messages that has been delivered to consumers, including those not acknowledged.
long
activemq.topic.messages.enqueue.count
Number of messages that have been sent to the destination.
long
activemq.topic.messages.enqueue.time.avg
Average time a message was held on this destination.
double
activemq.topic.messages.enqueue.time.max
The longest time a message was held on this destination.
long
activemq.topic.messages.enqueue.time.min
The shortest time a message was held on this destination.
long
activemq.topic.messages.expired.count
Number of messages that have been expired.
long
activemq.topic.messages.inflight.count
Number of messages that have been dispatched to, but not acknowledged by, consumers.
long
activemq.topic.messages.size.avg
Average message size on this destination.
long
activemq.topic.name
Topic name
keyword
activemq.topic.producers.count
Number of producers attached to this destination.
long
data_stream.dataset
Data stream dataset.
constant_keyword
data_stream.namespace
Data stream namespace.
constant_keyword
data_stream.type
Data stream type.
constant_keyword
destination.domain
Destination domain.
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.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.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
file.path
Full path to the file, including the file name. It should include the drive letter, when appropriate.
keyword
http.request.method
HTTP request method. Prior to ECS 1.6.0 the following guidance was provided: "The field value must be normalized to lowercase for querying." As of ECS 1.6.0, the guidance is deprecated because the original case of the method may be useful in anomaly detection. Original case will be mandated in ECS 2.0.0
keyword
http.request.referrer
Referrer for this HTTP request.
keyword
http.response.body.bytes
Size in bytes of the response body.
long
http.response.status_code
HTTP response status code.
long
http.version
HTTP version.
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
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
process.thread.id
Thread ID.
long
service.address
The type of the service data is collected from. The type can be used to group and correlate logs and metrics from one service address. Example: If logs or metrics are collected from Elasticsearch, service.address would be elasticsearch.
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
source.address
Some event source addresses are defined ambiguously. The event will sometimes list an IP, a domain or a unix socket. You should always store the raw address in the .address field. Then it should be duplicated to .ip or .domain, depending on which one it is.
keyword
source.as.number
Unique number allocated to the autonomous system. The autonomous system number (ASN) uniquely identifies each network on the Internet.
long
source.as.organization.name
Organization name.
keyword
source.domain
Source domain.
keyword
source.geo.city_name
City name.
keyword
source.geo.continent_name
Name of the continent.
keyword
source.geo.country_iso_code
Country ISO code.
keyword
source.geo.country_name
Country name.
keyword
source.geo.location
Longitude and latitude.
geo_point
source.geo.region_iso_code
Region ISO code.
keyword
source.geo.region_name
Region name.
keyword
source.ip
IP address of the source (IPv4 or IPv6).
ip
tags
List of keywords used to tag each event.
keyword
tls.cipher
String indicating the cipher used during the current connection.
keyword
tls.version
Numeric part of the version parsed from the original string.
keyword
tls.version_protocol
Normalized lowercase protocol name parsed from original string.
keyword
url.domain
Domain of the url, such as "www.elastic.co". In some cases a URL may refer to an IP and/or port directly, without a domain name. In this case, the IP address would go to the domain field. If the URL contains a literal IPv6 address enclosed by [ and ] (IETF RFC 2732), the [ and ] characters should also be captured in the domain field.
keyword
url.extension
The field contains the file extension from the original request url, excluding the leading dot. The file extension is only set if it exists, as not every url has a file extension. The leading period must not be included. For example, the value must be "png", not ".png". Note that when the file name has multiple extensions (example.tar.gz), only the last one should be captured ("gz", not "tar.gz").
keyword
url.original
Unmodified original url as seen in the event source. Note that in network monitoring, the observed URL may be a full URL, whereas in access logs, the URL is often just represented as a path. This field is meant to represent the URL as it was observed, complete or not.
wildcard
url.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.name
Short name or login of the user.
keyword
user_agent.device.name
Name of the device.
keyword
user_agent.name
Name of the user agent.
keyword
user_agent.original
Unparsed user_agent string.
keyword
user_agent.os.full
Operating system name, including the version or code name.
keyword
user_agent.os.name
Operating system name, without the version.
keyword
user_agent.os.version
Operating system version as a raw string.
keyword
user_agent.version
Version of the user agent.
keyword

Changelog

VersionDetails
0.3.0
Enhancement View pull request
Support Kibana 8.0
0.2.0
Enhancement View pull request
Uniform with guidelines
0.1.0
Enhancement View pull request
Update to ECS 1.12.0
0.0.1
Enhancement View pull request
initial release