- Filebeat Reference: other versions:
- Overview
- Get started
- Set up and run
- Upgrade
- How Filebeat works
- Configure
- Inputs
- General settings
- Project paths
- Config file loading
- Output
- SSL
- Index lifecycle management (ILM)
- Elasticsearch index template
- Kibana endpoint
- Kibana dashboards
- Processors
- Define processors
- add_cloud_metadata
- add_docker_metadata
- add_fields
- add_host_metadata
- add_id
- add_kubernetes_metadata
- add_labels
- add_locale
- add_observer_metadata
- add_process_metadata
- add_tags
- community_id
- convert
- copy_fields
- decode_base64_field
- decode_cef
- decode_csv_fields
- decode_json_fields
- decompress_gzip_field
- dissect
- dns
- drop_event
- drop_fields
- extract_array
- fingerprint
- include_fields
- registered_domain
- rename
- script
- timestamp
- truncate_fields
- Autodiscover
- Internal queue
- Load balancing
- Logging
- HTTP endpoint
- Regular expression support
- filebeat.reference.yml
- How to guides
- Beats central management
- Modules
- Modules overview
- ActiveMQ module
- Apache module
- Auditd module
- AWS module
- Azure module
- CEF module
- Cisco module
- CoreDNS module
- Elasticsearch module
- Envoyproxy Module
- Google Cloud module
- haproxy module
- IBM MQ module
- Icinga module
- IIS module
- Iptables module
- Kafka module
- Kibana module
- Logstash module
- MISP module
- MongoDB module
- MSSQL module
- MySQL module
- nats module
- NetFlow module
- Nginx module
- Osquery module
- Palo Alto Networks module
- PostgreSQL module
- RabbitMQ module
- Redis module
- Santa module
- Suricata module
- System module
- Traefik module
- Zeek (Bro) Module
- Exported fields
- activemq fields
- Apache fields
- Auditd fields
- AWS fields
- Azure fields
- Beat fields
- Decode CEF processor fields fields
- CEF fields
- Cisco fields
- Cloud provider metadata fields
- Coredns fields
- Docker fields
- ECS fields
- elasticsearch fields
- Envoyproxy fields
- Google Cloud fields
- haproxy fields
- Host fields
- ibmmq fields
- Icinga fields
- IIS fields
- iptables fields
- Jolokia Discovery autodiscover provider fields
- Kafka fields
- kibana fields
- Kubernetes fields
- Log file content fields
- logstash fields
- MISP fields
- mongodb fields
- mssql fields
- MySQL fields
- nats fields
- NetFlow fields
- NetFlow fields
- Nginx fields
- Osquery fields
- panw fields
- PostgreSQL fields
- Process fields
- RabbitMQ fields
- Redis fields
- s3 fields
- Google Santa fields
- Suricata fields
- System fields
- Traefik fields
- Zeek fields
- Monitor
- Secure
- Troubleshoot
- Get help
- Debug
- Common problems
- 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
- @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
- 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.
See the Elasticsearch API key documentation for more information:
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 Beat instance. You can create as many API keys per user as necessary.
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"], "index": [ { "names": ["filebeat-*"], "privileges": ["view_index_metadata", "create_doc"] } ] } } }
Name of the API key |
|
Granted privileges, see Grant users access to secured resources |
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 |
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 |