- Filebeat Reference: other versions:
- Filebeat overview
- Quick start: installation and configuration
- Set up and run
- Upgrade
- How Filebeat works
- Configure
- Inputs
- 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_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
- Load balancing
- Logging
- HTTP endpoint
- Regular expression support
- Instrumentation
- Feature flags
- filebeat.reference.yml
- 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
- Modules
- Modules overview
- ActiveMQ module
- Apache module
- Auditd module
- AWS module
- AWS Fargate module
- Azure module
- Barracuda module
- Bluecoat module
- CEF module
- Check Point module
- Cisco module
- CoreDNS module
- CrowdStrike module
- Cyberark PAS module
- Cylance module
- Elasticsearch module
- Envoyproxy Module
- F5 module
- Fortinet module
- Google Cloud module
- Google Workspace module
- HAproxy module
- IBM MQ module
- Icinga module
- IIS module
- Imperva module
- Infoblox 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
- Netscout module
- Nginx module
- Office 365 module
- Okta module
- Oracle module
- Osquery module
- Palo Alto Networks module
- pensando module
- PostgreSQL module
- Proofpoint module
- RabbitMQ module
- Radware module
- Redis module
- Salesforce module
- Santa module
- Snort module
- Snyk module
- Sonicwall module
- Sophos module
- Squid module
- Suricata module
- System module
- Threat Intel module
- Tomcat module
- Traefik module
- Zeek (Bro) Module
- ZooKeeper module
- Zoom module
- Zscaler module
- Exported fields
- ActiveMQ fields
- Apache fields
- Auditd fields
- AWS fields
- AWS CloudWatch fields
- AWS Fargate fields
- Azure fields
- Barracuda Web Application Firewall fields
- Beat fields
- Blue Coat Director fields
- Decode CEF processor fields fields
- CEF fields
- Checkpoint fields
- Cisco fields
- Cloud provider metadata fields
- Coredns fields
- Crowdstrike fields
- CyberArk PAS fields
- CylanceProtect fields
- Docker fields
- ECS fields
- Elasticsearch fields
- Envoyproxy fields
- Big-IP Access Policy Manager fields
- Fortinet fields
- Google Cloud Platform (GCP) fields
- google_workspace fields
- HAProxy fields
- Host fields
- ibmmq fields
- Icinga fields
- IIS fields
- Imperva SecureSphere fields
- Infoblox NIOS 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
- Arbor Peakflow SP fields
- Nginx fields
- Office 365 fields
- Okta fields
- Oracle fields
- Osquery fields
- panw fields
- Pensando fields
- PostgreSQL fields
- Process fields
- Proofpoint Email Security fields
- RabbitMQ fields
- Radware DefensePro fields
- Redis fields
- s3 fields
- Salesforce fields
- Google Santa fields
- Snort/Sourcefire fields
- Snyk fields
- Sonicwall-FW fields
- sophos fields
- Squid fields
- Suricata fields
- System fields
- threatintel fields
- Apache Tomcat fields
- Traefik fields
- Zeek fields
- ZooKeeper fields
- Zoom fields
- Zscaler NSS fields
- Monitor
- Secure
- Troubleshoot
- Get help
- Debug
- 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
Run Filebeat on Docker
editRun Filebeat on Docker
editDocker images for Filebeat are available from the Elastic Docker registry. The base image is centos:7.
A list of all published Docker images and tags is available at www.docker.elastic.co.
These images are free to use under the Elastic license. They contain open source and free commercial features and access to paid commercial features. Start a 30-day trial to try out all of the paid commercial features. See the Subscriptions page for information about Elastic license levels.
Pull the image
editObtaining Filebeat for Docker is as simple as issuing a docker pull
command
against the Elastic Docker registry.
docker pull docker.elastic.co/beats/filebeat:8.7.1
Alternatively, you can download other Docker images that contain only features available under the Apache 2.0 license. To download the images, go to www.docker.elastic.co.
Run the Filebeat setup
editRunning Filebeat with the setup command will create the index pattern and load visualizations , dashboards, and machine learning jobs. Run this command:
docker run \ docker.elastic.co/beats/filebeat:8.7.1 \ setup -E setup.kibana.host=kibana:5601 \ -E output.elasticsearch.hosts=["elasticsearch:9200"]
Substitute your Kibana and Elasticsearch hosts and ports. |
|
If you are using the hosted Elasticsearch Service in Elastic Cloud, replace
the |
-E cloud.id=<Cloud ID from Elasticsearch Service> \ -E cloud.auth=elastic:<elastic password>
Configure Filebeat on Docker
editThe Docker image provides several methods for configuring Filebeat. The conventional approach is to provide a configuration file via a volume mount, but it’s also possible to create a custom image with your configuration included.
Example configuration file
editDownload this example configuration file as a starting point:
curl -L -O https://raw.githubusercontent.com/elastic/beats/8.7/deploy/docker/filebeat.docker.yml
Volume-mounted configuration
editOne way to configure Filebeat on Docker is to provide filebeat.docker.yml
via a volume mount.
With docker run
, the volume mount can be specified like this.
docker run -d \ --name=filebeat \ --user=root \ --volume="$(pwd)/filebeat.docker.yml:/usr/share/filebeat/filebeat.yml:ro" \ --volume="/var/lib/docker/containers:/var/lib/docker/containers:ro" \ --volume="/var/run/docker.sock:/var/run/docker.sock:ro" \ docker.elastic.co/beats/filebeat:8.7.1 filebeat -e --strict.perms=false \ -E output.elasticsearch.hosts=["elasticsearch:9200"]
Customize your configuration
editThe filebeat.docker.yml
file you downloaded earlier is configured to deploy Beats modules based on the Docker labels applied to your containers. See Hints based autodiscover for more details. Add labels to your application Docker containers, and they will be picked up by the Beats autodiscover feature when they are deployed. Here is an example command for an Apache HTTP Server container with labels to configure the Filebeat and Metricbeat modules for the Apache HTTP Server:
docker run \ --label co.elastic.logs/module=apache2 \ --label co.elastic.logs/fileset.stdout=access \ --label co.elastic.logs/fileset.stderr=error \ --label co.elastic.metrics/module=apache \ --label co.elastic.metrics/metricsets=status \ --label co.elastic.metrics/hosts='${data.host}:${data.port}' \ --detach=true \ --name my-apache-app \ -p 8080:80 \ httpd:2.4
Custom image configuration
editIt’s possible to embed your Filebeat configuration in a custom image. Here is an example Dockerfile to achieve this:
FROM docker.elastic.co/beats/filebeat:8.7.1 COPY --chown=root:filebeat filebeat.yml /usr/share/filebeat/filebeat.yml
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