- Filebeat Reference: other versions:
- Filebeat overview
- Quick start: installation and configuration
- Set up and run
- Upgrade
- How Filebeat works
- Configure
- Inputs
- Multiline messages
- AWS CloudWatch
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- Azure Event Hub
- Azure Blob Storage
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- Modules
- General settings
- Project paths
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- 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
- cache
- community_id
- convert
- copy_fields
- decode_base64_field
- decode_cef
- decode_csv_fields
- 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
- parse_aws_vpc_flow_log
- rate_limit
- registered_domain
- rename
- replace
- script
- syslog
- timestamp
- translate_sid
- truncate_fields
- urldecode
- Autodiscover
- Internal queue
- Logging
- HTTP endpoint
- Regular expression support
- Instrumentation
- Feature flags
- filebeat.reference.yml
- Inputs
- How to guides
- Override configuration settings
- Load the Elasticsearch index template
- Change the index name
- Load Kibana dashboards
- Load ingest pipelines
- Enrich events with geoIP information
- Deduplicate data
- Parse data using an ingest pipeline
- Use environment variables in the configuration
- Avoid YAML formatting problems
- Migrate
log
input configurations tofilestream
- Migrating from a Deprecated Filebeat Module
- Modules
- Modules overview
- ActiveMQ module
- Apache module
- Auditd module
- AWS module
- AWS Fargate module
- Azure module
- CEF module
- Check Point module
- Cisco module
- CoreDNS module
- CrowdStrike module
- Cyberark PAS module
- Elasticsearch module
- Envoyproxy Module
- Fortinet module
- Google Cloud module
- Google Workspace module
- HAproxy module
- IBM MQ module
- Icinga module
- IIS module
- Iptables module
- Juniper module
- Kafka module
- Kibana module
- Logstash module
- Microsoft module
- MISP module
- MongoDB module
- MSSQL module
- MySQL module
- MySQL Enterprise module
- NATS module
- NetFlow module
- Nginx module
- Office 365 module
- Okta module
- Oracle module
- Osquery module
- Palo Alto Networks module
- pensando module
- PostgreSQL module
- RabbitMQ module
- Redis module
- Salesforce module
- Santa module
- Snyk module
- Sophos module
- Suricata module
- System module
- Threat Intel module
- Traefik module
- Zeek (Bro) Module
- ZooKeeper module
- Zoom module
- Exported fields
- ActiveMQ fields
- Apache fields
- Auditd fields
- AWS fields
- AWS CloudWatch fields
- AWS Fargate fields
- Azure fields
- Beat fields
- Decode CEF processor fields fields
- CEF fields
- Checkpoint fields
- Cisco fields
- Cloud provider metadata fields
- Coredns fields
- Crowdstrike fields
- CyberArk PAS fields
- Docker fields
- ECS fields
- Elasticsearch fields
- Envoyproxy fields
- Fortinet fields
- Google Cloud Platform (GCP) fields
- google_workspace fields
- HAProxy fields
- Host fields
- ibmmq fields
- Icinga fields
- IIS fields
- iptables fields
- Jolokia Discovery autodiscover provider fields
- Juniper JUNOS fields
- Kafka fields
- kibana fields
- Kubernetes fields
- Log file content fields
- logstash fields
- Lumberjack fields
- Microsoft fields
- MISP fields
- mongodb fields
- mssql fields
- MySQL fields
- MySQL Enterprise fields
- NATS fields
- NetFlow fields
- Nginx fields
- Office 365 fields
- Okta fields
- Oracle fields
- Osquery fields
- panw fields
- Pensando fields
- PostgreSQL fields
- Process fields
- RabbitMQ fields
- Redis fields
- s3 fields
- Salesforce fields
- Google Santa fields
- Snyk fields
- sophos fields
- Suricata fields
- System fields
- threatintel fields
- Traefik fields
- Windows ETW fields
- Zeek fields
- ZooKeeper fields
- Zoom fields
- Monitor
- Secure
- Troubleshoot
- Get help
- Debug
- Understand logged metrics
- Common problems
- Error extracting container id while using Kubernetes metadata
- Can’t read log files from network volumes
- Filebeat isn’t collecting lines from a file
- Too many open file handlers
- Registry file is too large
- Inode reuse causes Filebeat to skip lines
- Log rotation results in lost or duplicate events
- Open file handlers cause issues with Windows file rotation
- Filebeat is using too much CPU
- Dashboard in Kibana is breaking up data fields incorrectly
- Fields are not indexed or usable in Kibana visualizations
- Filebeat isn’t shipping the last line of a file
- Filebeat keeps open file handlers of deleted files for a long time
- Filebeat 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
Grant access using API keys
editGrant access using API keys
editInstead of using usernames and passwords, you can use API keys to grant
access to Elasticsearch resources. You can set API keys to expire at a certain time,
and you can explicitly invalidate them. Any user with the manage_api_key
or manage_own_api_key
cluster privilege can create API keys.
Filebeat instances typically send both collected data and monitoring information to Elasticsearch. If you are sending both to the same cluster, you can use the same API key. For different clusters, you need to use an API key per cluster.
For security reasons, we recommend using a unique API key per Filebeat instance. You can create as many API keys per user as necessary.
Review Grant users access to secured resources before creating API keys for Filebeat.
Create an API key for publishing
editTo create an API key to use for writing data to Elasticsearch, use the Create API key API, for example:
POST /_security/api_key { "name": "filebeat_host001", "role_descriptors": { "filebeat_writer": { "cluster": ["monitor", "read_ilm", "read_pipeline"], "index": [ { "names": ["filebeat-*"], "privileges": ["view_index_metadata", "create_doc", "auto_configure"] } ] } } }
Name of the API key |
|
Granted privileges, see Grant users access to secured resources |
See Create a publishing user for the list of privileges required to publish events.
The return value will look something like this:
You can now use this API key in your filebeat.yml
configuration file like this:
Format is |
Create an API key for monitoring
editTo create an API key to use for sending monitoring data to Elasticsearch, use the Create API key API, for example:
POST /_security/api_key { "name": "filebeat_host001", "role_descriptors": { "filebeat_monitoring": { "cluster": ["monitor"], "index": [ { "names": [".monitoring-beats-*"], "privileges": ["create_index", "create"] } ] } } }
Name of the API key |
|
Granted privileges, see Grant users access to secured resources |
See Create a monitoring user for the list of privileges required to send monitoring data.
The return value will look something like this:
You can now use this API key in your filebeat.yml
configuration file like this:
Format is |
Learn more about API keys
editSee the Elasticsearch API key documentation for more information:
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