- Metricbeat Reference: other versions:
- Metricbeat overview
- Quick start: installation and configuration
- Set up and run
- Upgrade Metricbeat
- How Metricbeat works
- Configure
- Modules
- General settings
- Project paths
- Config file loading
- Output
- Kerberos
- SSL
- Index lifecycle management (ILM)
- Elasticsearch index template
- Kibana endpoint
- Kibana dashboards
- Processors
- Define processors
- add_cloud_metadata
- add_cloudfoundry_metadata
- add_docker_metadata
- add_fields
- add_host_metadata
- add_id
- add_kubernetes_metadata
- add_labels
- add_locale
- add_network_direction
- add_nomad_metadata
- add_observer_metadata
- add_process_metadata
- add_tags
- append
- community_id
- convert
- copy_fields
- decode_base64_field
- decode_duration
- decode_json_fields
- decode_xml
- decode_xml_wineventlog
- decompress_gzip_field
- detect_mime_type
- dissect
- dns
- drop_event
- drop_fields
- extract_array
- fingerprint
- include_fields
- move_fields
- rate_limit
- registered_domain
- rename
- replace
- script
- syslog
- translate_ldap_attribute
- translate_sid
- truncate_fields
- urldecode
- Autodiscover
- Internal queue
- Logging
- HTTP endpoint
- Regular expression support
- Instrumentation
- Feature flags
- metricbeat.reference.yml
- How to guides
- Modules
- ActiveMQ module
- Aerospike module
- Airflow module
- Apache module
- AWS module
- AWS awshealth metricset
- AWS billing metricset
- AWS cloudwatch metricset
- AWS dynamodb metricset
- AWS ebs metricset
- AWS ec2 metricset
- AWS elb metricset
- AWS kinesis metricset
- AWS lambda metricset
- AWS natgateway metricset
- AWS rds metricset
- AWS s3_daily_storage metricset
- AWS s3_request metricset
- AWS sns metricset
- AWS sqs metricset
- AWS transitgateway metricset
- AWS usage metricset
- AWS vpn metricset
- AWS Fargate module
- Azure module
- Azure app_insights metricset
- Azure app_state metricset
- Azure billing metricset
- Azure compute_vm metricset
- Azure compute_vm_scaleset metricset
- Azure container_instance metricset
- Azure container_registry metricset
- Azure container_service metricset
- Azure database_account metricset
- Azure monitor metricset
- Azure storage metricset
- Beat module
- Ceph module
- Ceph cluster_disk metricset
- Ceph cluster_health metricset
- Ceph cluster_status metricset
- Ceph mgr_cluster_disk metricset
- Ceph mgr_cluster_health metricset
- Ceph mgr_osd_perf metricset
- Ceph mgr_osd_pool_stats metricset
- Ceph mgr_osd_tree metricset
- Ceph mgr_pool_disk metricset
- Ceph monitor_health metricset
- Ceph osd_df metricset
- Ceph osd_tree metricset
- Ceph pool_disk metricset
- Cloudfoundry module
- CockroachDB module
- Consul module
- Containerd module
- Coredns module
- Couchbase module
- CouchDB module
- Docker module
- Dropwizard module
- Elasticsearch module
- Elasticsearch ccr metricset
- Elasticsearch cluster_stats metricset
- Elasticsearch enrich metricset
- Elasticsearch index metricset
- Elasticsearch index_recovery metricset
- Elasticsearch index_summary metricset
- Elasticsearch ingest_pipeline metricset
- Elasticsearch ml_job metricset
- Elasticsearch node metricset
- Elasticsearch node_stats metricset
- Elasticsearch pending_tasks metricset
- Elasticsearch shard metricset
- Enterprise Search module
- Envoyproxy module
- Etcd module
- Google Cloud Platform module
- Google Cloud Platform billing metricset
- Google Cloud Platform carbon metricset
- Google Cloud Platform compute metricset
- Google Cloud Platform dataproc metricset
- Google Cloud Platform firestore metricset
- Google Cloud Platform gke metricset
- Google Cloud Platform loadbalancing metricset
- Google Cloud Platform metrics metricset
- Google Cloud Platform pubsub metricset
- Google Cloud Platform storage metricset
- Golang module
- Graphite module
- HAProxy module
- HTTP module
- IBM MQ module
- IIS module
- Istio module
- Jolokia module
- Kafka module
- Kibana module
- Kubernetes module
- Kubernetes apiserver metricset
- Kubernetes container metricset
- Kubernetes controllermanager metricset
- Kubernetes event metricset
- Kubernetes node metricset
- Kubernetes pod metricset
- Kubernetes proxy metricset
- Kubernetes scheduler metricset
- Kubernetes state_container metricset
- Kubernetes state_cronjob metricset
- Kubernetes state_daemonset metricset
- Kubernetes state_deployment metricset
- Kubernetes state_job metricset
- Kubernetes state_node metricset
- Kubernetes state_persistentvolumeclaim metricset
- Kubernetes state_pod metricset
- Kubernetes state_replicaset metricset
- Kubernetes state_resourcequota metricset
- Kubernetes state_service metricset
- Kubernetes state_statefulset metricset
- Kubernetes state_storageclass metricset
- Kubernetes system metricset
- Kubernetes volume metricset
- KVM module
- Linux module
- Logstash module
- Memcached module
- Cisco Meraki module
- MongoDB module
- MSSQL module
- Munin module
- MySQL module
- NATS module
- Nginx module
- Openmetrics module
- Oracle module
- Panw module
- PHP_FPM module
- PostgreSQL module
- Prometheus module
- RabbitMQ module
- Redis module
- Redis Enterprise module
- SQL module
- Stan module
- Statsd module
- SyncGateway module
- System module
- System core metricset
- System cpu metricset
- System diskio metricset
- System entropy metricset
- System filesystem metricset
- System fsstat metricset
- System load metricset
- System memory metricset
- System network metricset
- System network_summary metricset
- System process metricset
- System process_summary metricset
- System raid metricset
- System service metricset
- System socket metricset
- System socket_summary metricset
- System uptime metricset
- System users metricset
- Tomcat module
- Traefik module
- uWSGI module
- vSphere module
- Windows module
- ZooKeeper module
- Exported fields
- ActiveMQ fields
- Aerospike fields
- Airflow fields
- Apache fields
- AWS fields
- AWS Fargate fields
- Azure fields
- Beat fields
- Beat fields
- Ceph fields
- Cloud provider metadata fields
- Cloudfoundry fields
- CockroachDB fields
- Common fields
- Consul fields
- Containerd fields
- Coredns fields
- Couchbase fields
- CouchDB fields
- Docker fields
- Docker fields
- Dropwizard fields
- ECS fields
- Elasticsearch fields
- Enterprise Search fields
- Envoyproxy fields
- Etcd fields
- Google Cloud Platform fields
- Golang fields
- Graphite fields
- HAProxy fields
- Host fields
- HTTP fields
- IBM MQ fields
- IIS fields
- Istio fields
- Jolokia fields
- Jolokia Discovery autodiscover provider fields
- Kafka fields
- Kibana fields
- Kubernetes fields
- Kubernetes fields
- KVM fields
- Linux fields
- Logstash fields
- Memcached fields
- MongoDB fields
- MSSQL fields
- Munin fields
- MySQL fields
- NATS fields
- Nginx fields
- Openmetrics fields
- Oracle fields
- Panw fields
- PHP_FPM fields
- PostgreSQL fields
- Process fields
- Prometheus fields
- Prometheus typed metrics fields
- RabbitMQ fields
- Redis fields
- Redis Enterprise fields
- SQL fields
- Stan fields
- Statsd fields
- SyncGateway fields
- System fields
- Tomcat fields
- Traefik fields
- uWSGI fields
- vSphere fields
- Windows fields
- ZooKeeper fields
- Monitor
- Secure
- Troubleshoot
- Get help
- Debug
- Understand logged metrics
- Common problems
- "open /compat/linux/proc: no such file or directory" error on FreeBSD
- Metricbeat collects system metrics for interfaces you didn’t configure
- Metricbeat uses too much bandwidth
- Error loading config file
- Found unexpected or unknown characters
- Logstash connection doesn’t work
- Publishing to Logstash fails with "connection reset by peer" message
- @metadata is missing in Logstash
- Not sure whether to use Logstash or Beats
- SSL client fails to connect to Logstash
- Monitoring UI shows fewer Beats than expected
- Dashboard could not locate the index-pattern
- High RSS memory usage due to MADV settings
- Contribute to Beats
Key metricbeat features
editKey metricbeat features
editMetricbeat has some key features that are critical to how it works:
Metricbeat error events
editMetricbeat sends more than just metrics. When it cannot retrieve metrics, it sends error events. The error is not simply a flag, but a full error string that is created during fetching from the host systems. This enables you to monitor not only the metrics, but also any errors that occur during metrics monitoring.
Because you see the full error message, you can track down the error faster. Metricbeat is installed locally on the host machine, which means that you can differentiate errors that happen locally from other issues, such as network problems.
Each metricset is retrieved based on a predefined period, so when Metricbeat fails to retrieve metrics for more than one interval, you can infer that there is potentially something wrong with the host or host connectivity.
No aggregations when data is fetched
editMetricbeat doesn’t do aggregations like gauge, sum, counters, and so on. Metricbeat sends the raw data retrieved from the host to the output for processing. When using Elasticsearch, this has the advantage that all raw data is available on the Elasticsearch host for drilling down into the details, and the data can be reprocessed at any time. It also reduces the complexity of Metricbeat.
Sends more than just numbers
editMetricbeat sends more than just numbers. The metrics that Metricbeat sends can also contain strings to report status information. This is useful when you’re using Elasticsearch to store the metrics data. Because each metricset has a predefined structure, Elasticsearch knows in advance which types will be stored in Elasticsearch, and it can optimize storage.
Basic meta information about each metric (such as the host) is also sent as part of each event.
Multiple metrics in one event
editRather than containing a single metric, each event created by Metricbeat contains a list of metrics. This means that you can retrieve all the metrics in a single request to the host system, resulting in less load on the host system. If you are sending the metrics to Elasticsearch as the output, Elasticsearch can directly store and query the metrics as a nested JSON document, making it very efficient for sending metrics data to Elasticsearch.
Because the full raw event data is available, Metricbeat or Elasticsearch can do any required transformations on the data later. For example, if you need to store data in the Metrics2.0 format, you could generate the format out of the existing event by splitting up the full event into multiple metrics2.0 events.
Meta information about the type of each metric is stored in the mapping template. Meta information that is common to all metric events, such as host and timestamp, is part of the event structure itself and is only stored once for all events in the metricset.
Having all the related metrics in a single event also makes it easier to look at other values when one of the metrics for a service seems off.
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