- 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
- community_id
- convert
- copy_fields
- decode_base64_field
- 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
- rate_limit
- registered_domain
- rename
- script
- translate_sid
- truncate_fields
- urldecode
- Autodiscover
- Internal queue
- Logging
- HTTP endpoint
- Regular expression support
- Instrumentation
- metricbeat.reference.yml
- How to guides
- Modules
- ActiveMQ module
- Aerospike module
- Apache module
- App Search module
- AWS module
- 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
- 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 ml_job metricset
- Elasticsearch node metricset
- Elasticsearch node_stats metricset
- Elasticsearch pending_tasks metricset
- Elasticsearch shard metricset
- Envoyproxy module
- Etcd module
- Google Cloud Platform module
- 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_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
- MongoDB module
- MSSQL module
- Munin module
- MySQL module
- NATS module
- Nginx module
- Openmetrics module
- Oracle module
- PHP_FPM module
- PostgreSQL module
- Prometheus module
- RabbitMQ module
- Redis module
- Redis Enterprise module
- SQL module
- Stan module
- Statsd 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
- Apache fields
- App Search 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
- Coredns fields
- Couchbase fields
- CouchDB fields
- Docker fields
- Docker fields
- Dropwizard fields
- ECS fields
- Elasticsearch 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
- 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
- System fields
- Tomcat fields
- Traefik fields
- uWSGI fields
- vSphere fields
- Windows fields
- ZooKeeper fields
- Monitor
- Secure
- Troubleshoot
- Get help
- Debug
- 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
- Contribute to Beats
Dissect strings
editDissect strings
editThe dissect
processor tokenizes incoming strings using defined patterns.
processors: - dissect: tokenizer: "%{key1} %{key2} %{key3|convert_datatype}" field: "message" target_prefix: "dissect"
The dissect
processor has the following configuration settings:
-
tokenizer
-
The field used to define the dissection pattern.
Optional convert datatype can be provided after the key using
|
as separator to convert the value from string to integer, long, float, double, boolean or ip. -
field
-
(Optional) The event field to tokenize. Default is
message
. -
target_prefix
-
(Optional) The name of the field where the values will be extracted. When an empty
string is defined, the processor will create the keys at the root of the event. Default is
dissect
. When the target key already exists in the event, the processor won’t replace it and log an error; you need to either drop or rename the key before using dissect, or enable theoverwrite_keys
flag. -
ignore_failure
- (Optional) Flag to control whether the processor returns an error if the tokenizer fails to match the message field. If set to true, the processor will silently restore the original event, allowing execution of subsequent processors (if any). If set to false (default), the processor will log an error, preventing execution of other processors.
-
overwrite_keys
- (Optional) When set to true, the processor will overwrite existing keys in the event. The default is false, which causes the processor to fail when a key already exists.
-
trim_values
-
(Optional) Enables the trimming of the extracted values. Useful to remove leading and/or trailing spaces. Possible values are:
-
none
: (default) no trimming is performed. -
left
: values are trimmed on the left (leading). -
right
: values are trimmed on the right (trailing). -
all
: values are trimmed for leading and trailing.
-
-
trim_chars
-
(Optional) Set of characters to trim from values, when trimming
is enabled. The default is to trim the space character (
" "
). To trim multiple characters, simply set it to a string containing all characters to trim. For example,trim_chars: " \t"
will trim spaces and/or tabs.
For tokenization to be successful, all keys must be found and extracted, if one of them cannot be found an error will be logged and no modification is done on the original event.
A key can contain any characters except reserved suffix or prefix modifiers: /
,&
, +
, #
and ?
.
See Conditions for a list of supported conditions.
Dissect example
editFor this example, imagine that an application generates the following messages:
"321 - App01 - WebServer is starting" "321 - App01 - WebServer is up and running" "321 - App01 - WebServer is scaling 2 pods" "789 - App02 - Database is will be restarted in 5 minutes" "789 - App02 - Database is up and running" "789 - App02 - Database is refreshing tables"
Use the dissect
processor to split each message into two fields, for example,
service.name
and service.status
:
processors: - dissect: tokenizer: '"%{pid|integer} - %{service.name} - %{service.status}"' field: "message" target_prefix: ""
This configuration produces fields like:
"service": { "pid": 321, "name": "App01", "status": "WebServer is up and running" },
service.name
is an ECS keyword field, which means that you
can use it in Elasticsearch for filtering, sorting, and aggregations.
When possible, use ECS-compatible field names. For more information, see the Elastic Common Schema documentation.
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