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MongoDB

Collect logs and metrics from MongoDB instances with Elastic Agent.

Version
1.13.3 (View all)
Compatible Kibana version(s)
8.12.2 or higher
Supported Serverless project types

Security
Observability
Subscription level
Basic
Level of support
Elastic

This integration is used to fetch logs and metrics from MongoDB.

Configuration Notes

When configuring the hosts option, MongoDB URIs must adhere to the following formats:

  • Simple: mongodb://[user:pass@]host[:port][?options]
  • Complex: mongodb://[username:password@]host1[:port1][,...hostN[:portN]][/[defaultauthdb][?options]]

Examples of URIs can vary from simple to complex:

  • Simple: localhost
  • Complex: mongodb://myuser:mypass@localhost:40001", "otherhost:40001

Additional supported URI examples include:

  • Replica set: mongodb://localhost:27017,localhost:27022,localhost:27023/?replicaSet=dbrs
  • Direct connection: mongodb://localhost:27017/?directConnection=true

When using the directConnection=true parameter in the connection URI, all operations are executed on the specified host. It's important to explicitly include directConnection=true in the URI as it won't be automatically added.

  • Authentication: mongodb://username:password@host:port/authSource=$external?authMechanism=PLAIN

When specifying authMechanism as PLAIN, it indicates the use of the PLAIN authentication mechanism, which is commonly associated with LDAP.

authSource can be used to specify the name of the database that has the collection with the user credentials.

In MongoDB, authSource=$external is a special authentication database used for authenticating users externally, such as via LDAP.

The username and password can either be included in the URI or set using the respective configuration options. If included in the URI, these credentials take precedence over any configured username and password configuration options.

Compatibility

The log dataset is tested with logs from versions v3.2.11 and v4.4.4 in plaintext and json formats. The collstats, dbstats, metrics, replstatus and status datasets are tested with MongoDB 5.0 and are expected to work with all versions >= 5.0.

MongoDB Privileges

In order to use the metrics datasets, the MongoDB user specified in the package configuration needs to have certain privileges.

We recommend using the clusterMonitor role to cover all the necessary privileges.

You can use the following command in Mongo shell to create the privileged user (make sure you are using the admin db by using db command in Mongo shell).

db.createUser(
    {
        user: "beats",
        pwd: "pass",
        roles: ["clusterMonitor"]
    }
)

You can use the following command in Mongo shell to authenticate a user against a specific database with the provided username and password (make sure you are using the admin db by using db command in Mongo shell).

db.auth(user, pass)

You can use the following command in Mongo shell to grant the role to an existing user (make sure you are using the admin db by using db command in Mongo shell).

db.grantRolesToUser("user", ["clusterMonitor"])

Logs

log

The log dataset collects the MongoDB logs.

An example event for log looks as following:

{
    "@timestamp": "2022-12-16T07:30:07.376Z",
    "agent": {
        "ephemeral_id": "d4efa095-1892-409c-96cf-691d6307b15b",
        "id": "4729bacd-4e52-4243-ae58-793424154f42",
        "name": "docker-fleet-agent",
        "type": "filebeat",
        "version": "8.5.0"
    },
    "data_stream": {
        "dataset": "mongodb.log",
        "namespace": "ep",
        "type": "logs"
    },
    "ecs": {
        "version": "8.5.1"
    },
    "elastic_agent": {
        "id": "4729bacd-4e52-4243-ae58-793424154f42",
        "snapshot": false,
        "version": "8.5.0"
    },
    "event": {
        "agent_id_status": "verified",
        "category": [
            "database"
        ],
        "created": "2022-12-16T07:30:25.369Z",
        "dataset": "mongodb.log",
        "ingested": "2022-12-16T07:30:26Z",
        "kind": "event",
        "type": [
            "info"
        ]
    },
    "host": {
        "architecture": "x86_64",
        "containerized": false,
        "hostname": "docker-fleet-agent",
        "id": "66392b0697b84641af8006d87aeb89f1",
        "ip": [
            "172.18.0.7"
        ],
        "mac": [
            "02-42-AC-12-00-07"
        ],
        "name": "docker-fleet-agent",
        "os": {
            "codename": "focal",
            "family": "debian",
            "kernel": "5.15.49-linuxkit",
            "name": "Ubuntu",
            "platform": "ubuntu",
            "type": "linux",
            "version": "20.04.5 LTS (Focal Fossa)"
        }
    },
    "input": {
        "type": "log"
    },
    "log": {
        "file": {
            "path": "/tmp/service_logs/mongodb.log"
        },
        "level": "I",
        "offset": 0
    },
    "message": "***** SERVER RESTARTED *****",
    "mongodb": {
        "log": {
            "component": "CONTROL",
            "context": "main"
        }
    },
    "related": {
        "hosts": [
            "docker-fleet-agent"
        ]
    },
    "tags": [
        "mongodb-logs"
    ]
}

The fields reported are:

Exported fields

FieldDescriptionType
@timestamp
Event timestamp.
date
cloud.account.id
The cloud account or organization id used to identify different entities in a multi-tenant environment. Examples: AWS account id, Google Cloud ORG Id, or other unique identifier.
keyword
cloud.availability_zone
Availability zone in which this host is running.
keyword
cloud.image.id
Image ID for the cloud instance.
keyword
cloud.instance.id
Instance ID of the host machine.
keyword
cloud.instance.name
Instance name of the host machine.
keyword
cloud.machine.type
Machine type of the host machine.
keyword
cloud.project.id
Name of the project in Google Cloud.
keyword
cloud.provider
Name of the cloud provider. Example values are aws, azure, gcp, or digitalocean.
keyword
cloud.region
Region in which this host is running.
keyword
container.id
Unique container id.
keyword
container.image.name
Name of the image the container was built on.
keyword
container.labels
Image labels.
object
container.name
Container name.
keyword
data_stream.dataset
Data stream dataset.
constant_keyword
data_stream.namespace
Data stream namespace.
constant_keyword
data_stream.type
Data stream type.
constant_keyword
ecs.version
ECS version this event conforms to. ecs.version is a required field and must exist in all events. When querying across multiple indices -- which may conform to slightly different ECS versions -- this field lets integrations adjust to the schema version of the events.
keyword
event.created
event.created contains the date/time when the event was first read by an agent, or by your pipeline. This field is distinct from @timestamp in that @timestamp typically contain the time extracted from the original event. In most situations, these two timestamps will be slightly different. The difference can be used to calculate the delay between your source generating an event, and the time when your agent first processed it. This can be used to monitor your agent's or pipeline's ability to keep up with your event source. In case the two timestamps are identical, @timestamp should be used.
date
event.dataset
Event dataset
constant_keyword
event.module
Event module
constant_keyword
host.architecture
Operating system architecture.
keyword
host.containerized
If the host is a container.
boolean
host.domain
Name of the domain of which the host is a member. For example, on Windows this could be the host's Active Directory domain or NetBIOS domain name. For Linux this could be the domain of the host's LDAP provider.
keyword
host.hostname
Hostname of the host. It normally contains what the hostname command returns on the host machine.
keyword
host.id
Unique host id. As hostname is not always unique, use values that are meaningful in your environment. Example: The current usage of beat.name.
keyword
host.ip
Host ip addresses.
ip
host.mac
Host mac addresses.
keyword
host.name
Name of the host. It can contain what hostname returns on Unix systems, the fully qualified domain name, or a name specified by the user. The sender decides which value to use.
keyword
host.os.build
OS build information.
keyword
host.os.codename
OS codename, if any.
keyword
host.os.family
OS family (such as redhat, debian, freebsd, windows).
keyword
host.os.kernel
Operating system kernel version as a raw string.
keyword
host.os.name
Operating system name, without the version.
keyword
host.os.name.text
Multi-field of host.os.name.
text
host.os.platform
Operating system platform (such centos, ubuntu, windows).
keyword
host.os.version
Operating system version as a raw string.
keyword
host.type
Type of host. For Cloud providers this can be the machine type like t2.medium. If vm, this could be the container, for example, or other information meaningful in your environment.
keyword
input.type
Type of Filebeat input.
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
This field contains the flags of the event.
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
Offset of the entry in the log file.
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
mongodb.log.attr
Attributes related to the log message.
flattened
mongodb.log.component
Functional categorization of message
keyword
mongodb.log.context
Context of message
keyword
mongodb.log.id
Integer representing the unique identifier of the log statement
long
related.hosts
All hostnames or other host identifiers seen on your event. Example identifiers include FQDNs, domain names, workstation names, or aliases.
keyword
related.ip
All of the IPs seen on your event.
ip
related.user
All the user names or other user identifiers seen on the event.
keyword
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
source.ip
IP address of the source (IPv4 or IPv6).
ip
source.port
Port of the source.
long
tags
List of keywords used to tag each event.
keyword
user.effective.name
Short name or login of the user.
keyword
user.effective.name.text
Multi-field of user.effective.name.
match_only_text
user.id
Unique identifier of the user.
keyword
user.name
Short name or login of the user.
keyword
user.name.text
Multi-field of user.name.
match_only_text

Metrics

collstats

The collstats dataset uses the top administrative command to return usage statistics for each collection. It provides the amount of time, in microseconds, used and a count of operations for the following types: total, readLock, writeLock, queries, getmore, insert, update, remove, and commands.

It requires the following privileges, which is covered by the clusterMonitor role:

An example event for collstats looks as following:

{
    "@timestamp": "2022-10-20T10:51:51.648Z",
    "agent": {
        "ephemeral_id": "069895c3-402a-45ff-9ddd-a50c62446502",
        "hostname": "docker-fleet-agent",
        "id": "a326ccf1-3f91-4412-bc97-215ea856cd16",
        "name": "docker-fleet-agent",
        "type": "metricbeat",
        "version": "7.14.0"
    },
    "data_stream": {
        "dataset": "mongodb.collstats",
        "namespace": "ep",
        "type": "metrics"
    },
    "ecs": {
        "version": "8.5.1"
    },
    "elastic_agent": {
        "id": "a326ccf1-3f91-4412-bc97-215ea856cd16",
        "snapshot": false,
        "version": "7.14.0"
    },
    "event": {
        "agent_id_status": "verified",
        "dataset": "mongodb.collstats",
        "duration": 4040208,
        "ingested": "2022-10-20T10:51:55.190132092Z",
        "module": "mongodb"
    },
    "host": {
        "architecture": "aarch64",
        "containerized": false,
        "hostname": "docker-fleet-agent",
        "id": "2347a1bd8a3945949da8ab5c29f60774",
        "ip": [
            "172.18.0.7"
        ],
        "mac": [
            "02:42:ac:12:00:07"
        ],
        "name": "docker-fleet-agent",
        "os": {
            "codename": "AltArch",
            "family": "redhat",
            "kernel": "5.10.124-linuxkit",
            "name": "CentOS Linux",
            "platform": "centos",
            "type": "linux",
            "version": "7 (AltArch)"
        }
    },
    "metricset": {
        "name": "collstats",
        "period": 10000
    },
    "mongodb": {
        "collstats": {
            "collection": "system.roles",
            "commands": {
                "count": 0,
                "time": {
                    "us": 0
                }
            },
            "db": "admin",
            "getmore": {
                "count": 0,
                "time": {
                    "us": 0
                }
            },
            "insert": {
                "count": 0,
                "time": {
                    "us": 0
                }
            },
            "lock": {
                "read": {
                    "count": 1,
                    "time": {
                        "us": 19
                    }
                },
                "write": {
                    "count": 0,
                    "time": {
                        "us": 0
                    }
                }
            },
            "name": "admin.system.roles",
            "queries": {
                "count": 1,
                "time": {
                    "us": 19
                }
            },
            "remove": {
                "count": 0,
                "time": {
                    "us": 0
                }
            },
            "total": {
                "count": 1,
                "time": {
                    "us": 19
                }
            },
            "update": {
                "count": 0,
                "time": {
                    "us": 0
                }
            }
        }
    },
    "service": {
        "address": "mongodb://elastic-package-service-mongodb-1",
        "type": "mongodb"
    }
}

The fields reported are:

Exported fields

FieldDescriptionTypeMetric Type
@timestamp
Event timestamp.
date
agent.id
keyword
cloud.account.id
The cloud account or organization id used to identify different entities in a multi-tenant environment. Examples: AWS account id, Google Cloud ORG Id, or other unique identifier.
keyword
cloud.availability_zone
Availability zone in which this host is running.
keyword
cloud.image.id
Image ID for the cloud instance.
keyword
cloud.instance.id
Instance ID of the host machine.
keyword
cloud.instance.name
Instance name of the host machine.
keyword
cloud.machine.type
Machine type of the host machine.
keyword
cloud.project.id
Name of the project in Google Cloud.
keyword
cloud.provider
Name of the cloud provider. Example values are aws, azure, gcp, or digitalocean.
keyword
cloud.region
Region in which this host is running.
keyword
container.id
Unique container id.
keyword
container.image.name
Name of the image the container was built on.
keyword
container.labels
Image labels.
object
container.name
Container name.
keyword
data_stream.dataset
Data stream dataset.
constant_keyword
data_stream.namespace
Data stream namespace.
constant_keyword
data_stream.type
Data stream type.
constant_keyword
ecs.version
ECS version this event conforms to. ecs.version is a required field and must exist in all events. When querying across multiple indices -- which may conform to slightly different ECS versions -- this field lets integrations adjust to the schema version of the events.
keyword
event.dataset
Event dataset
constant_keyword
event.module
Event module
constant_keyword
host.architecture
Operating system architecture.
keyword
host.containerized
If the host is a container.
boolean
host.domain
Name of the domain of which the host is a member. For example, on Windows this could be the host's Active Directory domain or NetBIOS domain name. For Linux this could be the domain of the host's LDAP provider.
keyword
host.hostname
Hostname of the host. It normally contains what the hostname command returns on the host machine.
keyword
host.id
Unique host id. As hostname is not always unique, use values that are meaningful in your environment. Example: The current usage of beat.name.
keyword
host.ip
Host ip addresses.
ip
host.mac
Host mac addresses.
keyword
host.name
Name of the host. It can contain what hostname returns on Unix systems, the fully qualified domain name, or a name specified by the user. The sender decides which value to use.
keyword
host.os.build
OS build information.
keyword
host.os.codename
OS codename, if any.
keyword
host.os.family
OS family (such as redhat, debian, freebsd, windows).
keyword
host.os.kernel
Operating system kernel version as a raw string.
keyword
host.os.name
Operating system name, without the version.
keyword
host.os.name.text
Multi-field of host.os.name.
text
host.os.platform
Operating system platform (such centos, ubuntu, windows).
keyword
host.os.version
Operating system version as a raw string.
keyword
host.type
Type of host. For Cloud providers this can be the machine type like t2.medium. If vm, this could be the container, for example, or other information meaningful in your environment.
keyword
mongodb.collstats.collection
Collection name.
keyword
mongodb.collstats.commands.count
Number of database commands executed.
long
counter
mongodb.collstats.commands.time.us
Time executing database commands in microseconds.
long
counter
mongodb.collstats.db
Database name.
keyword
mongodb.collstats.getmore.count
Number of times a cursor asked for more data.
long
counter
mongodb.collstats.getmore.time.us
Time asking for more cursor rows in microseconds.
long
counter
mongodb.collstats.insert.count
Number of document insert events.
long
counter
mongodb.collstats.insert.time.us
Time inserting new documents in microseconds.
long
counter
mongodb.collstats.lock.read.count
Number of read lock wait events.
long
counter
mongodb.collstats.lock.read.time.us
Time waiting for read locks in microseconds.
long
counter
mongodb.collstats.lock.write.count
Number of write lock wait events.
long
counter
mongodb.collstats.lock.write.time.us
Time waiting for write locks in microseconds.
long
counter
mongodb.collstats.name
Combination of database and collection name.
keyword
mongodb.collstats.queries.count
Number of queries executed.
long
counter
mongodb.collstats.queries.time.us
Time running queries in microseconds.
long
counter
mongodb.collstats.remove.count
Number of document delete events.
long
counter
mongodb.collstats.remove.time.us
Time deleting documents in microseconds.
long
counter
mongodb.collstats.total.count
Total number of lock wait events.
long
counter
mongodb.collstats.total.time.us
Total waiting time for locks in microseconds.
long
counter
mongodb.collstats.update.count
Number of document update events.
long
counter
mongodb.collstats.update.time.us
Time updating documents in microseconds.
long
counter
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

dbstats

The dbstats dataset collects storage statistics for a given database.

It requires the following privileges, which is covered by the clusterMonitor role:

An example event for dbstats looks as following:

{
    "@timestamp": "2022-10-20T10:52:35.564Z",
    "agent": {
        "ephemeral_id": "cdd73778-56aa-4cc4-b9dd-f2e2202cfef6",
        "hostname": "docker-fleet-agent",
        "id": "a326ccf1-3f91-4412-bc97-215ea856cd16",
        "name": "docker-fleet-agent",
        "type": "metricbeat",
        "version": "7.14.0"
    },
    "data_stream": {
        "dataset": "mongodb.dbstats",
        "namespace": "ep",
        "type": "metrics"
    },
    "ecs": {
        "version": "8.5.1"
    },
    "elastic_agent": {
        "id": "a326ccf1-3f91-4412-bc97-215ea856cd16",
        "snapshot": false,
        "version": "7.14.0"
    },
    "event": {
        "agent_id_status": "verified",
        "dataset": "mongodb.dbstats",
        "duration": 3442416,
        "ingested": "2022-10-20T10:52:39.124852460Z",
        "module": "mongodb"
    },
    "host": {
        "architecture": "aarch64",
        "containerized": false,
        "hostname": "docker-fleet-agent",
        "id": "2347a1bd8a3945949da8ab5c29f60774",
        "ip": [
            "172.18.0.7"
        ],
        "mac": [
            "02:42:ac:12:00:07"
        ],
        "name": "docker-fleet-agent",
        "os": {
            "codename": "AltArch",
            "family": "redhat",
            "kernel": "5.10.124-linuxkit",
            "name": "CentOS Linux",
            "platform": "centos",
            "type": "linux",
            "version": "7 (AltArch)"
        }
    },
    "metricset": {
        "name": "dbstats",
        "period": 10000
    },
    "mongodb": {
        "dbstats": {
            "avg_obj_size": {
                "bytes": 522
            },
            "collections": 3,
            "data_size": {
                "bytes": 1566
            },
            "db": "local",
            "file_size": {},
            "index_size": {
                "bytes": 12288
            },
            "indexes": 3,
            "ns_size_mb": {},
            "num_extents": 0,
            "objects": 3,
            "storage_size": {
                "bytes": 12288
            }
        }
    },
    "service": {
        "address": "mongodb://elastic-package-service-mongodb-1",
        "type": "mongodb"
    }
}

The fields reported are:

Exported fields

FieldDescriptionTypeMetric Type
@timestamp
Event timestamp.
date
agent.id
keyword
cloud.account.id
The cloud account or organization id used to identify different entities in a multi-tenant environment. Examples: AWS account id, Google Cloud ORG Id, or other unique identifier.
keyword
cloud.availability_zone
Availability zone in which this host is running.
keyword
cloud.image.id
Image ID for the cloud instance.
keyword
cloud.instance.id
Instance ID of the host machine.
keyword
cloud.instance.name
Instance name of the host machine.
keyword
cloud.machine.type
Machine type of the host machine.
keyword
cloud.project.id
Name of the project in Google Cloud.
keyword
cloud.provider
Name of the cloud provider. Example values are aws, azure, gcp, or digitalocean.
keyword
cloud.region
Region in which this host is running.
keyword
container.id
Unique container id.
keyword
container.image.name
Name of the image the container was built on.
keyword
container.labels
Image labels.
object
container.name
Container name.
keyword
data_stream.dataset
Data stream dataset.
constant_keyword
data_stream.namespace
Data stream namespace.
constant_keyword
data_stream.type
Data stream type.
constant_keyword
ecs.version
ECS version this event conforms to. ecs.version is a required field and must exist in all events. When querying across multiple indices -- which may conform to slightly different ECS versions -- this field lets integrations adjust to the schema version of the events.
keyword
event.dataset
Event dataset
constant_keyword
event.module
Event module
constant_keyword
host.architecture
Operating system architecture.
keyword
host.containerized
If the host is a container.
boolean
host.domain
Name of the domain of which the host is a member. For example, on Windows this could be the host's Active Directory domain or NetBIOS domain name. For Linux this could be the domain of the host's LDAP provider.
keyword
host.hostname
Hostname of the host. It normally contains what the hostname command returns on the host machine.
keyword
host.id
Unique host id. As hostname is not always unique, use values that are meaningful in your environment. Example: The current usage of beat.name.
keyword
host.ip
Host ip addresses.
ip
host.mac
Host mac addresses.
keyword
host.name
Name of the host. It can contain what hostname returns on Unix systems, the fully qualified domain name, or a name specified by the user. The sender decides which value to use.
keyword
host.os.build
OS build information.
keyword
host.os.codename
OS codename, if any.
keyword
host.os.family
OS family (such as redhat, debian, freebsd, windows).
keyword
host.os.kernel
Operating system kernel version as a raw string.
keyword
host.os.name
Operating system name, without the version.
keyword
host.os.name.text
Multi-field of host.os.name.
text
host.os.platform
Operating system platform (such centos, ubuntu, windows).
keyword
host.os.version
Operating system version as a raw string.
keyword
host.type
Type of host. For Cloud providers this can be the machine type like t2.medium. If vm, this could be the container, for example, or other information meaningful in your environment.
keyword
mongodb.dbstats.avg_obj_size.bytes
long
gauge
mongodb.dbstats.collections
integer
gauge
mongodb.dbstats.data_file_version.major
long
mongodb.dbstats.data_file_version.minor
long
mongodb.dbstats.data_size.bytes
long
gauge
mongodb.dbstats.db
keyword
mongodb.dbstats.extent_free_list.num
long
gauge
mongodb.dbstats.extent_free_list.size.bytes
long
gauge
mongodb.dbstats.file_size.bytes
long
gauge
mongodb.dbstats.index_size.bytes
long
gauge
mongodb.dbstats.indexes
long
gauge
mongodb.dbstats.ns_size_mb.mb
long
gauge
mongodb.dbstats.num_extents
long
gauge
mongodb.dbstats.objects
long
gauge
mongodb.dbstats.storage_size.bytes
long
gauge
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

metrics

It requires the following privileges, which is covered by the clusterMonitor role:

An example event for metrics looks as following:

{
    "@timestamp": "2022-10-20T10:54:12.592Z",
    "agent": {
        "ephemeral_id": "79bbe613-f914-4617-8ef0-345562558b05",
        "hostname": "docker-fleet-agent",
        "id": "a326ccf1-3f91-4412-bc97-215ea856cd16",
        "name": "docker-fleet-agent",
        "type": "metricbeat",
        "version": "7.14.0"
    },
    "data_stream": {
        "dataset": "mongodb.metrics",
        "namespace": "ep",
        "type": "metrics"
    },
    "ecs": {
        "version": "8.5.1"
    },
    "elastic_agent": {
        "id": "a326ccf1-3f91-4412-bc97-215ea856cd16",
        "snapshot": false,
        "version": "7.14.0"
    },
    "event": {
        "agent_id_status": "verified",
        "dataset": "mongodb.metrics",
        "duration": 2745875,
        "ingested": "2022-10-20T10:54:16.129970088Z",
        "module": "mongodb"
    },
    "host": {
        "architecture": "aarch64",
        "containerized": false,
        "hostname": "docker-fleet-agent",
        "id": "2347a1bd8a3945949da8ab5c29f60774",
        "ip": [
            "172.18.0.7"
        ],
        "mac": [
            "02:42:ac:12:00:07"
        ],
        "name": "docker-fleet-agent",
        "os": {
            "codename": "AltArch",
            "family": "redhat",
            "kernel": "5.10.124-linuxkit",
            "name": "CentOS Linux",
            "platform": "centos",
            "type": "linux",
            "version": "7 (AltArch)"
        }
    },
    "metricset": {
        "name": "metrics",
        "period": 10000
    },
    "mongodb": {
        "metrics": {
            "commands": {
                "aggregate": {
                    "failed": 0,
                    "total": 0
                },
                "build_info": {
                    "failed": 0,
                    "total": 24
                },
                "coll_stats": {
                    "failed": 0,
                    "total": 0
                },
                "connection_pool_stats": {
                    "failed": 0,
                    "total": 0
                },
                "count": {
                    "failed": 0,
                    "total": 0
                },
                "db_stats": {
                    "failed": 0,
                    "total": 0
                },
                "distinct": {
                    "failed": 0,
                    "total": 0
                },
                "find": {
                    "failed": 0,
                    "total": 0
                },
                "get_cmd_line_opts": {
                    "failed": 0,
                    "total": 0
                },
                "get_last_error": {
                    "failed": 0,
                    "total": 0
                },
                "get_log": {
                    "failed": 0,
                    "total": 0
                },
                "get_more": {
                    "failed": 0,
                    "total": 0
                },
                "get_parameter": {
                    "failed": 0,
                    "total": 0
                },
                "host_info": {
                    "failed": 0,
                    "total": 0
                },
                "insert": {
                    "failed": 0,
                    "total": 0
                },
                "is_master": {
                    "failed": 0,
                    "total": 38
                },
                "is_self": {
                    "failed": 0,
                    "total": 0
                },
                "last_collections": {
                    "failed": 0,
                    "total": 0
                },
                "last_commands": {
                    "failed": 0,
                    "total": 0
                },
                "list_databased": {
                    "failed": 0,
                    "total": 0
                },
                "list_indexes": {
                    "failed": 0,
                    "total": 0
                },
                "ping": {
                    "failed": 0,
                    "total": 2
                },
                "profile": {
                    "failed": 0,
                    "total": 0
                },
                "replset_get_rbid": {
                    "failed": 0,
                    "total": 0
                },
                "replset_get_status": {
                    "failed": 12,
                    "total": 12
                },
                "replset_heartbeat": {
                    "failed": 0,
                    "total": 0
                },
                "replset_update_position": {
                    "failed": 0,
                    "total": 0
                },
                "server_status": {
                    "failed": 0,
                    "total": 14
                },
                "update": {
                    "failed": 0,
                    "total": 0
                },
                "whatsmyuri": {
                    "failed": 0,
                    "total": 12
                }
            },
            "cursor": {
                "open": {
                    "no_timeout": 0,
                    "pinned": 0,
                    "total": 0
                },
                "timed_out": 0
            },
            "document": {
                "deleted": 0,
                "inserted": 0,
                "returned": 0,
                "updated": 0
            },
            "get_last_error": {
                "write_timeouts": 0,
                "write_wait": {
                    "count": 0,
                    "ms": 0
                }
            },
            "operation": {
                "scan_and_order": 0,
                "write_conflicts": 0
            },
            "query_executor": {
                "scanned_documents": {
                    "count": 0
                },
                "scanned_indexes": {
                    "count": 0
                }
            },
            "replication": {
                "apply": {
                    "attempts_to_become_secondary": 0,
                    "batches": {
                        "count": 0,
                        "time": {
                            "ms": 0
                        }
                    },
                    "ops": 0
                },
                "buffer": {
                    "count": 0,
                    "max_size": {
                        "bytes": 0
                    },
                    "size": {
                        "bytes": 0
                    }
                },
                "executor": {
                    "counters": {
                        "cancels": 0,
                        "event_created": 0,
                        "event_wait": 0,
                        "scheduled": {
                            "dbwork": 0,
                            "exclusive": 0,
                            "failures": 0,
                            "netcmd": 0,
                            "work": 0,
                            "work_at": 0
                        },
                        "waits": 0
                    },
                    "event_waiters": 0,
                    "network_interface": "\nNetworkInterfaceASIO Operations' Diagnostic:\nOperation:    Count:   \nConnecting    0        \nIn Progress   0        \nSucceeded     0        \nCanceled      0        \nFailed        0        \nTimed Out     0        \n\n",
                    "queues": {
                        "free": 0,
                        "in_progress": {
                            "dbwork": 0,
                            "exclusive": 0,
                            "network": 0
                        },
                        "ready": 0,
                        "sleepers": 0
                    },
                    "shutting_down": false,
                    "unsignaled_events": 0
                },
                "initial_sync": {
                    "completed": 0,
                    "failed_attempts": 0,
                    "failures": 0
                },
                "network": {
                    "bytes": 0,
                    "getmores": {
                        "count": 0,
                        "time": {
                            "ms": 0
                        }
                    },
                    "ops": 0,
                    "reders_created": 0
                },
                "preload": {
                    "docs": {
                        "count": 0,
                        "time": {
                            "ms": 0
                        }
                    },
                    "indexes": {
                        "count": 0,
                        "time": {
                            "ms": 0
                        }
                    }
                }
            },
            "storage": {
                "search": {
                    "bucket_exhausted": 0,
                    "requests": 0,
                    "scanned": 0
                }
            },
            "ttl": {
                "deleted_documents": {
                    "count": 0
                },
                "passes": {
                    "count": 0
                }
            }
        }
    },
    "service": {
        "address": "mongodb://elastic-package-service-mongodb-1",
        "type": "mongodb"
    }
}

The fields reported are:

Exported fields

FieldDescriptionTypeMetric Type
@timestamp
Event timestamp.
date
agent.id
keyword
cloud.account.id
The cloud account or organization id used to identify different entities in a multi-tenant environment. Examples: AWS account id, Google Cloud ORG Id, or other unique identifier.
keyword
cloud.availability_zone
Availability zone in which this host is running.
keyword
cloud.image.id
Image ID for the cloud instance.
keyword
cloud.instance.id
Instance ID of the host machine.
keyword
cloud.instance.name
Instance name of the host machine.
keyword
cloud.machine.type
Machine type of the host machine.
keyword
cloud.project.id
Name of the project in Google Cloud.
keyword
cloud.provider
Name of the cloud provider. Example values are aws, azure, gcp, or digitalocean.
keyword
cloud.region
Region in which this host is running.
keyword
container.id
Unique container id.
keyword
container.image.name
Name of the image the container was built on.
keyword
container.labels
Image labels.
object
container.name
Container name.
keyword
data_stream.dataset
Data stream dataset.
constant_keyword
data_stream.namespace
Data stream namespace.
constant_keyword
data_stream.type
Data stream type.
constant_keyword
ecs.version
ECS version this event conforms to. ecs.version is a required field and must exist in all events. When querying across multiple indices -- which may conform to slightly different ECS versions -- this field lets integrations adjust to the schema version of the events.
keyword
event.dataset
Event dataset
constant_keyword
event.module
Event module
constant_keyword
host.architecture
Operating system architecture.
keyword
host.containerized
If the host is a container.
boolean
host.domain
Name of the domain of which the host is a member. For example, on Windows this could be the host's Active Directory domain or NetBIOS domain name. For Linux this could be the domain of the host's LDAP provider.
keyword
host.hostname
Hostname of the host. It normally contains what the hostname command returns on the host machine.
keyword
host.id
Unique host id. As hostname is not always unique, use values that are meaningful in your environment. Example: The current usage of beat.name.
keyword
host.ip
Host ip addresses.
ip
host.mac
Host mac addresses.
keyword
host.name
Name of the host. It can contain what hostname returns on Unix systems, the fully qualified domain name, or a name specified by the user. The sender decides which value to use.
keyword
host.os.build
OS build information.
keyword
host.os.codename
OS codename, if any.
keyword
host.os.family
OS family (such as redhat, debian, freebsd, windows).
keyword
host.os.kernel
Operating system kernel version as a raw string.
keyword
host.os.name
Operating system name, without the version.
keyword
host.os.name.text
Multi-field of host.os.name.
text
host.os.platform
Operating system platform (such centos, ubuntu, windows).
keyword
host.os.version
Operating system version as a raw string.
keyword
host.type
Type of host. For Cloud providers this can be the machine type like t2.medium. If vm, this could be the container, for example, or other information meaningful in your environment.
keyword
mongodb.metrics.commands.aggregate.failed
long
counter
mongodb.metrics.commands.aggregate.total
long
counter
mongodb.metrics.commands.build_info.failed
long
counter
mongodb.metrics.commands.build_info.total
long
counter
mongodb.metrics.commands.coll_stats.failed
long
counter
mongodb.metrics.commands.coll_stats.total
long
counter
mongodb.metrics.commands.connection_pool_stats.failed
long
counter
mongodb.metrics.commands.connection_pool_stats.total
long
counter
mongodb.metrics.commands.count.failed
long
counter
mongodb.metrics.commands.count.total
long
counter
mongodb.metrics.commands.db_stats.failed
long
counter
mongodb.metrics.commands.db_stats.total
long
counter
mongodb.metrics.commands.distinct.failed
long
counter
mongodb.metrics.commands.distinct.total
long
counter
mongodb.metrics.commands.find.failed
long
counter
mongodb.metrics.commands.find.total
long
counter
mongodb.metrics.commands.get_cmd_line_opts.failed
long
counter
mongodb.metrics.commands.get_cmd_line_opts.total
long
counter
mongodb.metrics.commands.get_last_error.failed
long
counter
mongodb.metrics.commands.get_last_error.total
long
counter
mongodb.metrics.commands.get_log.failed
long
counter
mongodb.metrics.commands.get_log.total
long
counter
mongodb.metrics.commands.get_more.failed
long
counter
mongodb.metrics.commands.get_more.total
long
counter
mongodb.metrics.commands.get_parameter.failed
long
counter
mongodb.metrics.commands.get_parameter.total
long
counter
mongodb.metrics.commands.host_info.failed
long
counter
mongodb.metrics.commands.host_info.total
long
counter
mongodb.metrics.commands.insert.failed
long
counter
mongodb.metrics.commands.insert.total
long
counter
mongodb.metrics.commands.is_master.failed
long
counter
mongodb.metrics.commands.is_master.total
long
counter
mongodb.metrics.commands.is_self.failed
long
counter
mongodb.metrics.commands.is_self.total
long
counter
mongodb.metrics.commands.last_collections.failed
long
counter
mongodb.metrics.commands.last_collections.total
long
counter
mongodb.metrics.commands.last_commands.failed
long
counter
mongodb.metrics.commands.last_commands.total
long
counter
mongodb.metrics.commands.list_databased.failed
long
counter
mongodb.metrics.commands.list_databased.total
long
counter
mongodb.metrics.commands.list_indexes.failed
long
counter
mongodb.metrics.commands.list_indexes.total
long
counter
mongodb.metrics.commands.ping.failed
long
counter
mongodb.metrics.commands.ping.total
long
counter
mongodb.metrics.commands.profile.failed
long
counter
mongodb.metrics.commands.profile.total
long
counter
mongodb.metrics.commands.replset_get_rbid.failed
long
counter
mongodb.metrics.commands.replset_get_rbid.total
long
counter
mongodb.metrics.commands.replset_get_status.failed
long
counter
mongodb.metrics.commands.replset_get_status.total
long
counter
mongodb.metrics.commands.replset_heartbeat.failed
long
counter
mongodb.metrics.commands.replset_heartbeat.total
long
counter
mongodb.metrics.commands.replset_update_position.failed
long
counter
mongodb.metrics.commands.replset_update_position.total
long
counter
mongodb.metrics.commands.server_status.failed
long
counter
mongodb.metrics.commands.server_status.total
long
counter
mongodb.metrics.commands.update.failed
long
counter
mongodb.metrics.commands.update.total
long
counter
mongodb.metrics.commands.whatsmyuri.failed
long
counter
mongodb.metrics.commands.whatsmyuri.total
long
counter
mongodb.metrics.cursor.open.no_timeout
The number of open cursors with the option DBQuery.Option.noTimeout set to prevent timeout.
long
gauge
mongodb.metrics.cursor.open.pinned
The number of pinned open cursors.
long
gauge
mongodb.metrics.cursor.open.total
The number of cursors that MongoDB is maintaining for clients.
long
gauge
mongodb.metrics.cursor.timed_out
The total number of cursors that have timed out since the server process started.
long
counter
mongodb.metrics.document.deleted
The total number of documents deleted.
long
counter
mongodb.metrics.document.inserted
The total number of documents inserted.
long
counter
mongodb.metrics.document.returned
The total number of documents returned by queries.
long
counter
mongodb.metrics.document.updated
The total number of documents updated.
long
counter
mongodb.metrics.get_last_error.write_timeouts
The number of times that write concern operations have timed out as a result of the wtimeout threshold to getLastError.
long
counter
mongodb.metrics.get_last_error.write_wait.count
The total number of getLastError operations with a specified write concern (i.e. w) greater than 1.
long
counter
mongodb.metrics.get_last_error.write_wait.ms
The total amount of time in milliseconds that the mongod has spent performing getLastError operations with write concern (i.e. w) greater than 1.
long
gauge
mongodb.metrics.operation.scan_and_order
The total number of queries that return sorted numbers that cannot perform the sort operation using an index.
long
counter
mongodb.metrics.operation.write_conflicts
The total number of queries that encountered write conflicts.
long
counter
mongodb.metrics.query_executor.scanned_documents.count
The total number of documents scanned during queries and query-plan evaluation.
long
counter
mongodb.metrics.query_executor.scanned_indexes.count
The total number of index items scanned during queries and query-plan evaluation.
long
counter
mongodb.metrics.replication.apply.attempts_to_become_secondary
long
counter
mongodb.metrics.replication.apply.batches.count
The total number of batches applied across all databases.
long
counter
mongodb.metrics.replication.apply.batches.time.ms
The total amount of time in milliseconds the mongod has spent applying operations from the oplog.
long
gauge
mongodb.metrics.replication.apply.ops
The total number of oplog operations applied.
long
counter
mongodb.metrics.replication.buffer.count
The current number of operations in the oplog buffer.
long
gauge
mongodb.metrics.replication.buffer.max_size.bytes
The maximum size of the buffer. This value is a constant setting in the mongod, and is not configurable.
long
gauge
mongodb.metrics.replication.buffer.size.bytes
The current size of the contents of the oplog buffer.
long
gauge
mongodb.metrics.replication.executor.counters.cancels
long
counter
mongodb.metrics.replication.executor.counters.event_created
long
counter
mongodb.metrics.replication.executor.counters.event_wait
long
counter
mongodb.metrics.replication.executor.counters.scheduled.dbwork
long
counter
mongodb.metrics.replication.executor.counters.scheduled.exclusive
long
counter
mongodb.metrics.replication.executor.counters.scheduled.failures
long
counter
mongodb.metrics.replication.executor.counters.scheduled.netcmd
long
counter
mongodb.metrics.replication.executor.counters.scheduled.work
long
counter
mongodb.metrics.replication.executor.counters.scheduled.work_at
long
counter
mongodb.metrics.replication.executor.counters.waits
long
counter
mongodb.metrics.replication.executor.event_waiters
long
gauge
mongodb.metrics.replication.executor.network_interface
keyword
mongodb.metrics.replication.executor.queues.free
long
gauge
mongodb.metrics.replication.executor.queues.in_progress.dbwork
long
gauge
mongodb.metrics.replication.executor.queues.in_progress.exclusive
long
gauge
mongodb.metrics.replication.executor.queues.in_progress.network
long
gauge
mongodb.metrics.replication.executor.queues.ready
long
gauge
mongodb.metrics.replication.executor.queues.sleepers
long
gauge
mongodb.metrics.replication.executor.shutting_down
boolean
mongodb.metrics.replication.executor.unsignaled_events
long
gauge
mongodb.metrics.replication.initial_sync.completed
long
gauge
mongodb.metrics.replication.initial_sync.failed_attempts
long
counter
mongodb.metrics.replication.initial_sync.failures
long
counter
mongodb.metrics.replication.network.bytes
The total amount of data read from the replication sync source.
long
gauge
mongodb.metrics.replication.network.getmores.count
The total number of getmore operations
long
counter
mongodb.metrics.replication.network.getmores.time.ms
The total amount of time required to collect data from getmore operations.
long
gauge
mongodb.metrics.replication.network.ops
The total number of operations read from the replication source.
long
counter
mongodb.metrics.replication.network.reders_created
The total number of oplog query processes created.
long
counter
mongodb.metrics.replication.preload.docs.count
The total number of documents loaded during the pre-fetch stage of replication.
long
gauge
mongodb.metrics.replication.preload.docs.time.ms
long
gauge
mongodb.metrics.replication.preload.indexes.count
The total number of index entries loaded by members before updating documents as part of the pre-fetch stage of replication.
long
gauge
mongodb.metrics.replication.preload.indexes.time.ms
The total amount of time, in milliseconds, spent loading index entries as part of the pre-fetch stage of replication.
long
gauge
mongodb.metrics.storage.search.bucket_exhausted
The number of times that mongod has checked the free list without finding a suitably large record allocation.
long
counter
mongodb.metrics.storage.search.requests
The number of times mongod has searched for available record allocations.
long
counter
mongodb.metrics.storage.search.scanned
The number of available record allocations mongod has searched.
long
counter
mongodb.metrics.ttl.deleted_documents.count
The total number of documents deleted from collections with a ttl index.
long
counter
mongodb.metrics.ttl.passes.count
The number of times the background process removes documents from collections with a ttl index.
long
counter
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

replstatus

The replstatus dataset collects status of the replica set. It requires the following privileges, which is covered by the clusterMonitor role:

An example event for replstatus looks as following:

{
    "@timestamp": "2020-06-29T21:20:51.457Z",
    "service": {
        "address": "localhost:27017",
        "type": "mongodb"
    },
    "mongodb": {
        "replstatus": {
            "members": {
                "arbiter": {
                    "count": 0
                },
                "down": {
                    "count": 0
                },
                "primary": {
                    "host": "22b4e1fb8197:27017",
                    "optime": 1550700559
                },
                "recovering": {
                    "count": 0
                },
                "rollback": {
                    "count": 0
                },
                "secondary": {
                    "count": 0
                },
                "startup2": {
                    "count": 0
                },
                "unhealthy": {
                    "count": 0
                },
                "unknown": {
                    "count": 0
                }
            },
            "oplog": {
                "first": {
                    "timestamp": 1550700557
                },
                "last": {
                    "timestamp": 1550700559
                },
                "size": {
                    "allocated": 40572728934,
                    "used": 180
                },
                "window": 2
            },
            "optimes": {
                "applied": 1550700559,
                "durable": 1550700559,
                "last_committed": 1550700559
            },
            "server_date": "2019-02-20T23:09:23.733+01:00",
            "set_name": "beats"
        }
    },
    "ecs": {
        "version": "8.5.1"
    },
    "event": {
        "dataset": "mongodb.replstatus",
        "module": "mongodb",
        "duration": 1962467
    },
    "metricset": {
        "name": "replstatus",
        "period": 10000
    },
    "agent": {
        "ephemeral_id": "9f6fc260-82b5-4630-95d8-df64f1379b55",
        "id": "2281e192-85d5-4d68-b90a-36a31df7b29a",
        "name": "KaiyanMacBookPro",
        "type": "metricbeat",
        "version": "8.0.0"
    }
}

The fields reported are:

Exported fields

FieldDescriptionTypeMetric Type
@timestamp
Event timestamp.
date
agent.id
keyword
cloud.account.id
The cloud account or organization id used to identify different entities in a multi-tenant environment. Examples: AWS account id, Google Cloud ORG Id, or other unique identifier.
keyword
cloud.availability_zone
Availability zone in which this host is running.
keyword
cloud.image.id
Image ID for the cloud instance.
keyword
cloud.instance.id
Instance ID of the host machine.
keyword
cloud.instance.name
Instance name of the host machine.
keyword
cloud.machine.type
Machine type of the host machine.
keyword
cloud.project.id
Name of the project in Google Cloud.
keyword
cloud.provider
Name of the cloud provider. Example values are aws, azure, gcp, or digitalocean.
keyword
cloud.region
Region in which this host is running.
keyword
container.id
Unique container id.
keyword
container.image.name
Name of the image the container was built on.
keyword
container.labels
Image labels.
object
container.name
Container name.
keyword
data_stream.dataset
Data stream dataset.
constant_keyword
data_stream.namespace
Data stream namespace.
constant_keyword
data_stream.type
Data stream type.
constant_keyword
ecs.version
ECS version this event conforms to. ecs.version is a required field and must exist in all events. When querying across multiple indices -- which may conform to slightly different ECS versions -- this field lets integrations adjust to the schema version of the events.
keyword
event.dataset
Event dataset
constant_keyword
event.module
Event module
constant_keyword
host.architecture
Operating system architecture.
keyword
host.containerized
If the host is a container.
boolean
host.domain
Name of the domain of which the host is a member. For example, on Windows this could be the host's Active Directory domain or NetBIOS domain name. For Linux this could be the domain of the host's LDAP provider.
keyword
host.hostname
Hostname of the host. It normally contains what the hostname command returns on the host machine.
keyword
host.id
Unique host id. As hostname is not always unique, use values that are meaningful in your environment. Example: The current usage of beat.name.
keyword
host.ip
Host ip addresses.
ip
host.mac
Host mac addresses.
keyword
host.name
Name of the host. It can contain what hostname returns on Unix systems, the fully qualified domain name, or a name specified by the user. The sender decides which value to use.
keyword
host.os.build
OS build information.
keyword
host.os.codename
OS codename, if any.
keyword
host.os.family
OS family (such as redhat, debian, freebsd, windows).
keyword
host.os.kernel
Operating system kernel version as a raw string.
keyword
host.os.name
Operating system name, without the version.
keyword
host.os.name.text
Multi-field of host.os.name.
text
host.os.platform
Operating system platform (such centos, ubuntu, windows).
keyword
host.os.version
Operating system version as a raw string.
keyword
host.type
Type of host. For Cloud providers this can be the machine type like t2.medium. If vm, this could be the container, for example, or other information meaningful in your environment.
keyword
mongodb.replstatus.headroom.max
Difference between primary's oplog window and the replication lag of the fastest secondary
long
gauge
mongodb.replstatus.headroom.min
Difference between primary's oplog window and the replication lag of the slowest secondary
long
gauge
mongodb.replstatus.lag.max
Difference between optime of primary and slowest secondary
long
gauge
mongodb.replstatus.lag.min
Difference between optime of primary and fastest secondary
long
gauge
mongodb.replstatus.members.arbiter.count
Count of arbiters
long
gauge
mongodb.replstatus.members.arbiter.hosts
List of arbiters hosts
keyword
mongodb.replstatus.members.down.count
Count of down members
long
gauge
mongodb.replstatus.members.down.hosts
List of down members hosts
keyword
mongodb.replstatus.members.primary.host
Host address of the primary
keyword
mongodb.replstatus.members.primary.optime
Optime of primary
keyword
mongodb.replstatus.members.recovering.count
Count of members in the recovering state
long
gauge
mongodb.replstatus.members.recovering.hosts
List of recovering members hosts
keyword
mongodb.replstatus.members.rollback.count
Count of members in the rollback state
long
gauge
mongodb.replstatus.members.rollback.hosts
List of members in the rollback state
keyword
mongodb.replstatus.members.secondary.count
long
gauge
mongodb.replstatus.members.secondary.hosts
List of secondary hosts
keyword
mongodb.replstatus.members.secondary.optimes
Optimes of secondaries
keyword
mongodb.replstatus.members.startup2.count
Count of members in the startup2 state
long
gauge
mongodb.replstatus.members.startup2.hosts
List of initializing members hosts
keyword
mongodb.replstatus.members.unhealthy.count
Count of unhealthy members
long
gauge
mongodb.replstatus.members.unhealthy.hosts
List of members' hosts with healthy = false
keyword
mongodb.replstatus.members.unknown.count
Count of members with unknown state
long
gauge
mongodb.replstatus.members.unknown.hosts
List of members' hosts in the unknown state
keyword
mongodb.replstatus.oplog.first.timestamp
Timestamp of the first (i.e. earliest) operation in the replstatus
long
gauge
mongodb.replstatus.oplog.last.timestamp
Timestamp of the last (i.e. latest) operation in the replstatus
long
gauge
mongodb.replstatus.oplog.size.allocated
The total amount of space used by the replstatus in bytes.
long
gauge
mongodb.replstatus.oplog.size.used
total amount of space allocated to the replstatus in bytes.
long
gauge
mongodb.replstatus.oplog.window
The difference between the first and last operation in the replstatus.
long
gauge
mongodb.replstatus.optimes.applied
Information, from the viewpoint of this member, regarding the most recent operation that has been applied to this member of the replica set.
long
gauge
mongodb.replstatus.optimes.durable
Information, from the viewpoint of this member, regarding the most recent operation that has been written to the journal of this member of the replica set.
long
gauge
mongodb.replstatus.optimes.last_committed
Information, from the viewpoint of this member, regarding the most recent operation that has been written to a majority of replica set members.
long
gauge
mongodb.replstatus.server_date
Reflects the current time according to the server that processed the replSetGetStatus command.
date
mongodb.replstatus.set_name
The name of the replica set.
keyword
service.address
Address where data about this service was collected from. This should be a URI, network address (ipv4:port or [ipv6]:port) or a resource path (sockets).
keyword
service.type
The type of the service data is collected from. The type can be used to group and correlate logs and metrics from one service type. Example: If logs or metrics are collected from Elasticsearch, service.type would be elasticsearch.
keyword

status

The status returns a document that provides an overview of the database's state.

It requires the following privileges, which is covered by the clusterMonitor role:

An example event for status looks as following:

{
    "@timestamp": "2022-10-20T10:55:04.336Z",
    "agent": {
        "ephemeral_id": "65facf45-207f-436e-a597-e3dc3c1fcb39",
        "hostname": "docker-fleet-agent",
        "id": "a326ccf1-3f91-4412-bc97-215ea856cd16",
        "name": "docker-fleet-agent",
        "type": "metricbeat",
        "version": "7.14.0"
    },
    "data_stream": {
        "dataset": "mongodb.status",
        "namespace": "ep",
        "type": "metrics"
    },
    "ecs": {
        "version": "8.5.1"
    },
    "elastic_agent": {
        "id": "a326ccf1-3f91-4412-bc97-215ea856cd16",
        "snapshot": false,
        "version": "7.14.0"
    },
    "event": {
        "agent_id_status": "verified",
        "dataset": "mongodb.status",
        "duration": 3357750,
        "ingested": "2022-10-20T10:55:07.900758542Z",
        "module": "mongodb"
    },
    "host": {
        "architecture": "aarch64",
        "containerized": false,
        "hostname": "docker-fleet-agent",
        "id": "2347a1bd8a3945949da8ab5c29f60774",
        "ip": [
            "172.18.0.7"
        ],
        "mac": [
            "02:42:ac:12:00:07"
        ],
        "name": "docker-fleet-agent",
        "os": {
            "codename": "AltArch",
            "family": "redhat",
            "kernel": "5.10.124-linuxkit",
            "name": "CentOS Linux",
            "platform": "centos",
            "type": "linux",
            "version": "7 (AltArch)"
        }
    },
    "metricset": {
        "name": "status",
        "period": 10000
    },
    "mongodb": {
        "status": {
            "asserts": {
                "msg": 0,
                "regular": 0,
                "rollovers": 0,
                "user": 0,
                "warning": 0
            },
            "connections": {
                "available": 838859,
                "current": 1,
                "total_created": 15
            },
            "extra_info": {
                "heap_usage": {},
                "page_faults": 0
            },
            "global_lock": {
                "active_clients": {
                    "readers": 0,
                    "total": 8,
                    "writers": 0
                },
                "current_queue": {
                    "readers": 0,
                    "total": 0,
                    "writers": 0
                },
                "total_time": {
                    "us": 14210000
                }
            },
            "local_time": "2022-10-20T10:55:04.338Z",
            "locks": {
                "collection": {
                    "acquire": {
                        "count": {
                            "W": 1,
                            "r": 20
                        }
                    },
                    "deadlock": {},
                    "wait": {}
                },
                "database": {
                    "acquire": {
                        "count": {
                            "R": 1,
                            "W": 8,
                            "r": 34
                        }
                    },
                    "deadlock": {},
                    "wait": {}
                },
                "global": {
                    "acquire": {
                        "count": {
                            "W": 2,
                            "r": 108,
                            "w": 8
                        }
                    },
                    "deadlock": {},
                    "wait": {}
                },
                "meta_data": {
                    "acquire": {
                        "count": {
                            "w": 1
                        }
                    },
                    "deadlock": {},
                    "wait": {}
                },
                "oplog": {
                    "acquire": {
                        "count": {
                            "r": 14
                        }
                    },
                    "deadlock": {},
                    "wait": {}
                }
            },
            "memory": {
                "bits": 64,
                "mapped": {
                    "mb": 0
                },
                "mapped_with_journal": {
                    "mb": 0
                },
                "resident": {
                    "mb": 62
                },
                "virtual": {
                    "mb": 952
                }
            },
            "network": {
                "in": {
                    "bytes": 10318
                },
                "out": {
                    "bytes": 380215
                },
                "requests": 223
            },
            "ops": {
                "counters": {
                    "command": 112,
                    "delete": 0,
                    "getmore": 0,
                    "insert": 0,
                    "query": 1,
                    "update": 0
                },
                "latencies": {
                    "commands": {
                        "count": 111,
                        "latency": 5089
                    },
                    "reads": {
                        "count": 0,
                        "latency": 0
                    },
                    "writes": {
                        "count": 0,
                        "latency": 0
                    }
                },
                "replicated": {
                    "command": 0,
                    "delete": 0,
                    "getmore": 0,
                    "insert": 0,
                    "query": 0,
                    "update": 0
                }
            },
            "storage_engine": {
                "name": "wiredTiger"
            },
            "uptime": {
                "ms": 14204
            },
            "wired_tiger": {
                "cache": {
                    "dirty": {
                        "bytes": 21104
                    },
                    "maximum": {
                        "bytes": 3578789888
                    },
                    "pages": {
                        "evicted": 0,
                        "read": 0,
                        "write": 0
                    },
                    "used": {
                        "bytes": 22756
                    }
                },
                "concurrent_transactions": {
                    "read": {
                        "available": 128,
                        "out": 0,
                        "total_tickets": 128
                    },
                    "write": {
                        "available": 128,
                        "out": 0,
                        "total_tickets": 128
                    }
                },
                "log": {
                    "flushes": 142,
                    "max_file_size": {
                        "bytes": 104857600
                    },
                    "scans": 0,
                    "size": {
                        "bytes": 33554432
                    },
                    "syncs": 12,
                    "write": {
                        "bytes": 14336
                    },
                    "writes": 40
                }
            }
        }
    },
    "process": {
        "name": "mongod"
    },
    "service": {
        "address": "mongodb://elastic-package-service-mongodb-1",
        "type": "mongodb",
        "version": "3.4.24"
    }
}

The fields reported are:

Exported fields

FieldDescriptionTypeMetric Type
@timestamp
Event timestamp.
date
agent.id
keyword
cloud.account.id
The cloud account or organization id used to identify different entities in a multi-tenant environment. Examples: AWS account id, Google Cloud ORG Id, or other unique identifier.
keyword
cloud.availability_zone
Availability zone in which this host is running.
keyword
cloud.image.id
Image ID for the cloud instance.
keyword
cloud.instance.id
Instance ID of the host machine.
keyword
cloud.instance.name
Instance name of the host machine.
keyword
cloud.machine.type
Machine type of the host machine.
keyword
cloud.project.id
Name of the project in Google Cloud.
keyword
cloud.provider
Name of the cloud provider. Example values are aws, azure, gcp, or digitalocean.
keyword
cloud.region
Region in which this host is running.
keyword
container.id
Unique container id.
keyword
container.image.name
Name of the image the container was built on.
keyword
container.labels
Image labels.
object
container.name
Container name.
keyword
data_stream.dataset
Data stream dataset.
constant_keyword
data_stream.namespace
Data stream namespace.
constant_keyword
data_stream.type
Data stream type.
constant_keyword
ecs.version
ECS version this event conforms to. ecs.version is a required field and must exist in all events. When querying across multiple indices -- which may conform to slightly different ECS versions -- this field lets integrations adjust to the schema version of the events.
keyword
event.dataset
Event dataset
constant_keyword
event.module
Event module
constant_keyword
host.architecture
Operating system architecture.
keyword
host.containerized
If the host is a container.
boolean
host.domain
Name of the domain of which the host is a member. For example, on Windows this could be the host's Active Directory domain or NetBIOS domain name. For Linux this could be the domain of the host's LDAP provider.
keyword
host.hostname
Hostname of the host. It normally contains what the hostname command returns on the host machine.
keyword
host.id
Unique host id. As hostname is not always unique, use values that are meaningful in your environment. Example: The current usage of beat.name.
keyword
host.ip
Host ip addresses.
ip
host.mac
Host mac addresses.
keyword
host.name
Name of the host. It can contain what hostname returns on Unix systems, the fully qualified domain name, or a name specified by the user. The sender decides which value to use.
keyword
host.os.build
OS build information.
keyword
host.os.codename
OS codename, if any.
keyword
host.os.family
OS family (such as redhat, debian, freebsd, windows).
keyword
host.os.kernel
Operating system kernel version as a raw string.
keyword
host.os.name
Operating system name, without the version.
keyword
host.os.name.text
Multi-field of host.os.name.
text
host.os.platform
Operating system platform (such centos, ubuntu, windows).
keyword
host.os.version
Operating system version as a raw string.
keyword
host.type
Type of host. For Cloud providers this can be the machine type like t2.medium. If vm, this could be the container, for example, or other information meaningful in your environment.
keyword
mongodb.status.asserts.msg
Number of msg assertions produced by the server.
long
counter
mongodb.status.asserts.regular
Number of regular assertions produced by the server.
long
counter
mongodb.status.asserts.rollovers
Number of rollovers assertions produced by the server.
long
counter
mongodb.status.asserts.user
Number of user assertions produced by the server.
long
counter
mongodb.status.asserts.warning
Number of warning assertions produced by the server.
long
counter
mongodb.status.background_flushing.average.ms
The average time spent flushing to disk per flush event.
long
gauge
mongodb.status.background_flushing.flushes
A counter that collects the number of times the database has flushed all writes to disk.
long
counter
mongodb.status.background_flushing.last.ms
The amount of time, in milliseconds, that the last flush operation took to complete.
long
gauge
mongodb.status.background_flushing.last_finished
A timestamp of the last completed flush operation.
date
mongodb.status.background_flushing.total.ms
The total amount of time in milliseconds that the mongod processes have spent writing (i.e. flushing) data to disk. Because this is an absolute value, consider the value of flushes and average_ms to provide better context for this datum.
long
gauge
mongodb.status.connections.available
The number of unused available incoming connections the database can provide.
long
gauge
mongodb.status.connections.current
The number of connections to the database server from clients. This number includes the current shell session. Consider the value of available to add more context to this datum.
long
gauge
mongodb.status.connections.total_created
A count of all incoming connections created to the server. This number includes connections that have since closed.
long
counter
mongodb.status.extra_info.heap_usage.bytes
The total size in bytes of heap space used by the database process. Only available on Unix/Linux.
long
gauge
mongodb.status.extra_info.page_faults
The total number of page faults that require disk operations. Page faults refer to operations that require the database server to access data that isn't available in active memory.
long
counter
mongodb.status.global_lock.active_clients.readers
The number of the active client connections performing read operations.
long
gauge
mongodb.status.global_lock.active_clients.total
Total number of the active client connections performing read or write operations.
long
gauge
mongodb.status.global_lock.active_clients.writers
The number of the active client connections performing write operations.
long
gauge
mongodb.status.global_lock.current_queue.readers
The number of operations that are currently queued and waiting for the read lock.
long
gauge
mongodb.status.global_lock.current_queue.total
The total number of operations queued waiting for the lock (i.e., the sum of current_queue.readers and current_queue.writers).
long
gauge
mongodb.status.global_lock.current_queue.writers
The number of operations that are currently queued and waiting for the write lock.
long
gauge
mongodb.status.global_lock.total_time.us
The time, in microseconds, since the database last started and created the globalLock. This is roughly equivalent to total server uptime.
long
gauge
mongodb.status.journaling.commits
The number of transactions written to the journal during the last journal group commit interval.
long
counter
mongodb.status.journaling.commits_in_write_lock
Count of the commits that occurred while a write lock was held. Commits in a write lock indicate a MongoDB node under a heavy write load and call for further diagnosis.
long
counter
mongodb.status.journaling.compression
The compression ratio of the data written to the journal.
long
gauge
mongodb.status.journaling.early_commits
The number of times MongoDB requested a commit before the scheduled journal group commit interval.
long
counter
mongodb.status.journaling.journaled.mb
The amount of data in megabytes (MB) written to journal during the last journal group commit interval.
long
gauge
mongodb.status.journaling.times.commits.ms
The amount of time spent for commits.
long
gauge
mongodb.status.journaling.times.commits_in_write_lock.ms
The amount of time spent for commits that occurred while a write lock was held.
long
gauge
mongodb.status.journaling.times.dt.ms
The amount of time over which MongoDB collected the times data. Use this field to provide context to the other times field values.
long
gauge
mongodb.status.journaling.times.prep_log_buffer.ms
The amount of time spent preparing to write to the journal. Smaller values indicate better journal performance.
long
gauge
mongodb.status.journaling.times.remap_private_view.ms
The amount of time spent remapping copy-on-write memory mapped views. Smaller values indicate better journal performance.
long
gauge
mongodb.status.journaling.times.write_to_data_files.ms
The amount of time spent writing to data files after journaling. File system speeds and device interfaces can affect performance.
long
gauge
mongodb.status.journaling.times.write_to_journal.ms
The amount of time spent actually writing to the journal. File system speeds and device interfaces can affect performance.
long
gauge
mongodb.status.journaling.write_to_data_files.mb
The amount of data in megabytes (MB) written from journal to the data files during the last journal group commit interval.
long
gauge
mongodb.status.local_time
Local time as reported by the MongoDB instance.
date
mongodb.status.locks.collection.acquire.count.R
long
counter
mongodb.status.locks.collection.acquire.count.W
long
counter
mongodb.status.locks.collection.acquire.count.r
long
counter
mongodb.status.locks.collection.acquire.count.w
long
counter
mongodb.status.locks.collection.deadlock.count.R
long
counter
mongodb.status.locks.collection.deadlock.count.W
long
counter
mongodb.status.locks.collection.deadlock.count.r
long
counter
mongodb.status.locks.collection.deadlock.count.w
long
counter
mongodb.status.locks.collection.wait.count.R
long
counter
mongodb.status.locks.collection.wait.count.W
long
counter
mongodb.status.locks.collection.wait.count.r
long
counter
mongodb.status.locks.collection.wait.count.w
long
counter
mongodb.status.locks.collection.wait.us.R
long
gauge
mongodb.status.locks.collection.wait.us.W
long
gauge
mongodb.status.locks.collection.wait.us.r
long
gauge
mongodb.status.locks.collection.wait.us.w
long
gauge
mongodb.status.locks.database.acquire.count.R
long
counter
mongodb.status.locks.database.acquire.count.W
long
counter
mongodb.status.locks.database.acquire.count.r
long
counter
mongodb.status.locks.database.acquire.count.w
long
counter
mongodb.status.locks.database.deadlock.count.R
long
counter
mongodb.status.locks.database.deadlock.count.W
long
counter
mongodb.status.locks.database.deadlock.count.r
long
counter
mongodb.status.locks.database.deadlock.count.w
long
counter
mongodb.status.locks.database.wait.count.R
long
counter
mongodb.status.locks.database.wait.count.W
long
counter
mongodb.status.locks.database.wait.count.r
long
counter
mongodb.status.locks.database.wait.count.w
long
counter
mongodb.status.locks.database.wait.us.R
long
gauge
mongodb.status.locks.database.wait.us.W
long
gauge
mongodb.status.locks.database.wait.us.r
long
gauge
mongodb.status.locks.database.wait.us.w
long
gauge
mongodb.status.locks.global.acquire.count.R
long
counter
mongodb.status.locks.global.acquire.count.W
long
counter
mongodb.status.locks.global.acquire.count.r
long
counter
mongodb.status.locks.global.acquire.count.w
long
counter
mongodb.status.locks.global.deadlock.count.R
long
counter
mongodb.status.locks.global.deadlock.count.W
long
counter
mongodb.status.locks.global.deadlock.count.r
long
counter
mongodb.status.locks.global.deadlock.count.w
long
counter
mongodb.status.locks.global.wait.count.R
long
counter
mongodb.status.locks.global.wait.count.W
long
counter
mongodb.status.locks.global.wait.count.r
long
counter
mongodb.status.locks.global.wait.count.w
long
counter
mongodb.status.locks.global.wait.us.R
long
gauge
mongodb.status.locks.global.wait.us.W
long
gauge
mongodb.status.locks.global.wait.us.r
long
gauge
mongodb.status.locks.global.wait.us.w
long
gauge
mongodb.status.locks.meta_data.acquire.count.R
long
counter
mongodb.status.locks.meta_data.acquire.count.W
long
counter
mongodb.status.locks.meta_data.acquire.count.r
long
counter
mongodb.status.locks.meta_data.acquire.count.w
long
counter
mongodb.status.locks.meta_data.deadlock.count.R
long
counter
mongodb.status.locks.meta_data.deadlock.count.W
long
counter
mongodb.status.locks.meta_data.deadlock.count.r
long
counter
mongodb.status.locks.meta_data.deadlock.count.w
long
counter
mongodb.status.locks.meta_data.wait.count.R
long
counter
mongodb.status.locks.meta_data.wait.count.W
long
counter
mongodb.status.locks.meta_data.wait.count.r
long
counter
mongodb.status.locks.meta_data.wait.count.w
long
counter
mongodb.status.locks.meta_data.wait.us.R
long
gauge
mongodb.status.locks.meta_data.wait.us.W
long
gauge
mongodb.status.locks.meta_data.wait.us.r
long
gauge
mongodb.status.locks.meta_data.wait.us.w
long
gauge
mongodb.status.locks.oplog.acquire.count.R
long
counter
mongodb.status.locks.oplog.acquire.count.W
long
counter
mongodb.status.locks.oplog.acquire.count.r
long
counter
mongodb.status.locks.oplog.acquire.count.w
long
counter
mongodb.status.locks.oplog.deadlock.count.R
long
counter
mongodb.status.locks.oplog.deadlock.count.W
long
counter
mongodb.status.locks.oplog.deadlock.count.r
long
counter
mongodb.status.locks.oplog.deadlock.count.w
long
counter
mongodb.status.locks.oplog.wait.count.R
long
counter
mongodb.status.locks.oplog.wait.count.W
long
counter
mongodb.status.locks.oplog.wait.count.r
long
counter
mongodb.status.locks.oplog.wait.count.w
long
counter
mongodb.status.locks.oplog.wait.us.R
long
gauge
mongodb.status.locks.oplog.wait.us.W
long
gauge
mongodb.status.locks.oplog.wait.us.r
long
gauge
mongodb.status.locks.oplog.wait.us.w
long
gauge
mongodb.status.memory.bits
Either 64 or 32, depending on which target architecture was specified during the mongod compilation process.
long
mongodb.status.memory.mapped.mb
The amount of mapped memory, in megabytes (MB), used by the database. Because MongoDB uses memory-mapped files, this value is likely to be to be roughly equivalent to the total size of your database or databases.
long
gauge
mongodb.status.memory.mapped_with_journal.mb
The amount of mapped memory, in megabytes (MB), including the memory used for journaling.
long
gauge
mongodb.status.memory.resident.mb
The amount of RAM, in megabytes (MB), currently used by the database process.
long
gauge
mongodb.status.memory.virtual.mb
The amount, in megabytes (MB), of virtual memory used by the mongod process.
long
gauge
mongodb.status.network.in.bytes
The amount of network traffic, in bytes, received by this database.
long
gauge
mongodb.status.network.out.bytes
The amount of network traffic, in bytes, sent from this database.
long
gauge
mongodb.status.network.requests
The total number of requests received by the server.
long
counter
mongodb.status.ops.counters.command
The total number of commands issued to the database since the mongod instance last started.
long
counter
mongodb.status.ops.counters.delete
The total number of delete operations received since the mongod instance last started.
long
counter
mongodb.status.ops.counters.getmore
The total number of getmore operations received since the mongod instance last started.
long
counter
mongodb.status.ops.counters.insert
The total number of insert operations received since the mongod instance last started.
long
counter
mongodb.status.ops.counters.query
The total number of queries received since the mongod instance last started.
long
counter
mongodb.status.ops.counters.update
The total number of update operations received since the mongod instance last started.
long
counter
mongodb.status.ops.latencies.commands.count
Total number of commands performed on the collection since startup.
long
counter
mongodb.status.ops.latencies.commands.latency
Total combined latency in microseconds.
long
gauge
mongodb.status.ops.latencies.reads.count
Total number of read operations performed on the collection since startup.
long
counter
mongodb.status.ops.latencies.reads.latency
Total combined latency in microseconds.
long
gauge
mongodb.status.ops.latencies.writes.count
Total number of write operations performed on the collection since startup.
long
counter
mongodb.status.ops.latencies.writes.latency
Total combined latency in microseconds.
long
gauge
mongodb.status.ops.replicated.command
The total number of replicated commands issued to the database since the mongod instance last started.
long
counter
mongodb.status.ops.replicated.delete
The total number of replicated delete operations received since the mongod instance last started.
long
counter
mongodb.status.ops.replicated.getmore
The total number of replicated getmore operations received since the mongod instance last started.
long
counter
mongodb.status.ops.replicated.insert
The total number of replicated insert operations received since the mongod instance last started.
long
counter
mongodb.status.ops.replicated.query
The total number of replicated queries received since the mongod instance last started.
long
counter
mongodb.status.ops.replicated.update
The total number of replicated update operations received since the mongod instance last started.
long
counter
mongodb.status.storage_engine.name
A string that represents the name of the current storage engine.
keyword
mongodb.status.uptime.ms
Instance uptime in milliseconds.
long
gauge
mongodb.status.wired_tiger.cache.dirty.bytes
Size in bytes of the dirty data in the cache.
long
gauge
mongodb.status.wired_tiger.cache.maximum.bytes
Maximum cache size.
long
gauge
mongodb.status.wired_tiger.cache.pages.evicted
Number of pages evicted from the cache.
long
counter
mongodb.status.wired_tiger.cache.pages.read
Number of pages read into the cache.
long
counter
mongodb.status.wired_tiger.cache.pages.write
Number of pages written from the cache.
long
counter
mongodb.status.wired_tiger.cache.used.bytes
Size in byte of the data currently in cache.
long
gauge
mongodb.status.wired_tiger.concurrent_transactions.read.available
Number of concurrent read tickets available.
long
gauge
mongodb.status.wired_tiger.concurrent_transactions.read.out
Number of concurrent read transaction in progress.
long
gauge
mongodb.status.wired_tiger.concurrent_transactions.read.total_tickets
Number of total read tickets.
long
gauge
mongodb.status.wired_tiger.concurrent_transactions.write.available
Number of concurrent write tickets available.
long
gauge
mongodb.status.wired_tiger.concurrent_transactions.write.out
Number of concurrent write transaction in progress.
long
gauge
mongodb.status.wired_tiger.concurrent_transactions.write.total_tickets
Number of total write tickets.
long
gauge
mongodb.status.wired_tiger.log.flushes
Number of flush operations.
long
counter
mongodb.status.wired_tiger.log.max_file_size.bytes
Maximum file size.
long
gauge
mongodb.status.wired_tiger.log.scans
Number of scan operations.
long
counter
mongodb.status.wired_tiger.log.size.bytes
Total log size in bytes.
long
gauge
mongodb.status.wired_tiger.log.syncs
Number of sync operations.
long
counter
mongodb.status.wired_tiger.log.write.bytes
Number of bytes written into the log.
long
counter
mongodb.status.wired_tiger.log.writes
Number of write operations.
long
counter
mongodb.status.write_backs_queued
True when there are operations from a mongos instance queued for retrying.
boolean
process.name
Process name. Sometimes called program name or similar.
keyword
process.name.text
Multi-field of process.name.
match_only_text
service.address
Address of the machine where the service is running.
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

Changelog

VersionDetailsKibana version(s)

1.13.3

Enhancement View pull request
Update README with support of LDAP authentication.

8.12.2 or higher

1.13.2

Bug fix View pull request
Update the Kibana version to fix the disk space exhaustion.

8.12.2 or higher

1.13.1

Bug fix View pull request
Update the Kibana version condition for multihost fix support and add MongoDB hosts field examples to the documentation.

8.9.0 or higher

1.13.0

Enhancement View pull request
Enable 'secret' for the sensitive fields, supported from 8.12.

8.8.0 or higher

1.12.3

Enhancement View pull request
Update metrics datastreams compatibility version in docs.

8.8.0 or higher

1.12.2

Enhancement View pull request
Improve wording on milliseconds.

8.8.0 or higher

1.12.1

Bug fix View pull request
Add null and ignore_missing check to handle event.original field.

8.8.0 or higher

1.12.0

Enhancement View pull request
Update the package format_version to 3.0.0.

8.8.0 or higher

1.11.0

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

8.8.0 or higher

1.10.2

Bug fix View pull request
Fix mongodb logs overview dashboard and update filters for panels.

8.1.0 or higher

1.10.1

Bug fix View pull request
Fix mongodb logs overview dashboard and default log path

8.1.0 or higher

1.10.0

Enhancement View pull request
Rename ownership from obs-service-integrations to obs-infraobs-integrations

8.1.0 or higher

1.9.9

Enhancement View pull request
Added metric_type fields for replstatus datastream.

8.1.0 or higher

1.9.8

Enhancement View pull request
Added dimension fields for replstatus datastream to support TSDB.

—

1.9.7

Enhancement View pull request
Added metric_type fields for status datastream.

8.1.0 or higher

1.9.6

Enhancement View pull request
Added dimension fields for status datastream to support TSDB.

8.1.0 or higher

1.9.5

Enhancement View pull request
Added metric_type fields for metrics datastream.

8.1.0 or higher

1.9.4

Enhancement View pull request
Added dimensions fields for metrics datastream to enable TSDB.

8.1.0 or higher

1.9.3

Enhancement View pull request
Added metric_type fields for dbstats datastream.

8.1.0 or higher

1.9.2

Enhancement View pull request
Added dimension fields for dbstats datastream to support TSDB.

8.1.0 or higher

1.9.1

Enhancement View pull request
Added metric_type fields for collstats datastream.

8.1.0 or higher

1.9.0

Enhancement View pull request
Added dimensions fields for collStats datastream to enable TSDB.

8.1.0 or higher

1.8.0

Enhancement View pull request
Migrate Logs Overview dashboard visualizations to lens.

8.1.0 or higher

1.7.0

Enhancement View pull request
Migrate Metrics Overview dashboard visualizations to lens.

8.1.0 or higher

1.6.1

Enhancement View pull request
Added categories and/or subcategories.

7.14.0 or higher
8.0.0 or higher

1.6.0

Enhancement View pull request
Update ECS version to 8.5.1

7.14.0 or higher
8.0.0 or higher

1.5.2

Bug fix View pull request
Add SSL mapping in handlebar for all datastream

7.14.0 or higher
8.0.0 or higher

1.5.1

Bug fix View pull request
Added remove processors in ingest pipeline yaml

7.14.0 or higher
8.0.0 or higher

1.5.0

Enhancement View pull request
Add system test

7.14.0 or higher
8.0.0 or higher

1.4.0

Enhancement View pull request
Added infrastructure category.

7.14.0 or higher
8.0.0 or higher

1.3.4

Bug fix View pull request
Added FQDN field for log datastream

7.14.0 or higher
8.0.0 or higher

1.3.3

Bug fix View pull request
Add username and password for the template file

7.14.0 or higher
8.0.0 or higher

1.3.2

Enhancement View pull request
Add documentation for multi-fields

7.14.0 or higher
8.0.0 or higher

1.3.1

Bug fix View pull request
Fix username and password templates

7.14.0 or higher
8.0.0 or higher

1.3.0

Enhancement View pull request
Update to ECS 8.0

—

1.2.0

Enhancement View pull request
Release mongodb package for v8.0.0

7.14.0 or higher
8.0.0 or higher

1.1.2

Enhancement View pull request
Uniform with guidelines

—

1.1.1

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

—

1.1.0

Enhancement View pull request
Update to ECS 1.12.0

7.14.0 or higher

1.0.0

Enhancement View pull request
Release MongoDB as GA

—

0.7.0

Enhancement View pull request
Update integration description

—

0.6.0

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

—

0.5.0

Enhancement View pull request
Store log attributes included in JSON logs

Enhancement View pull request
Enable ECS dependency

—

0.4.0

Enhancement View pull request
Add support for logs in JSON format

—

0.3.0

Enhancement View pull request
update to ECS 1.10.0 and add event.original option

—

0.2.10

Bug fix View pull request
Fix Kibana search panel

—

0.2.9

Enhancement View pull request
Updating package owner

Enhancement View pull request
update to ECS 1.9.0

—

0.2.8

Bug fix View pull request
Correct sample event file.

—

0.1.0

Enhancement View pull request
initial release

—

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