- Filebeat Reference: other versions:
- Filebeat overview
- Quick start: installation and configuration
- Set up and run
- Upgrade
- How Filebeat works
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- Inputs
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- filebeat.reference.yml
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- 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
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- Envoyproxy Module
- Fortinet module
- Google Cloud module
- Google Workspace module
- HAproxy module
- IBM MQ module
- Icinga module
- IIS module
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- Juniper module
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- Kibana module
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- MISP module
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- MySQL module
- MySQL Enterprise module
- NATS module
- NetFlow module
- Nginx module
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- Okta module
- Oracle module
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- MySQL Enterprise fields
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- NetFlow fields
- Nginx fields
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- Okta fields
- Oracle fields
- Osquery fields
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- Pensando fields
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- RabbitMQ fields
- Redis fields
- s3 fields
- Salesforce fields
- Google Santa fields
- Snyk fields
- sophos fields
- Suricata fields
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- Traefik fields
- Windows ETW fields
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- Zoom fields
- Monitor
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- 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:8.16.4
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.
Optional: Verify the image
editYou can use the Cosign application to verify the Filebeat Docker image signature.
wget https://artifacts.elastic.co/cosign.pub cosign verify --key cosign.pub docker.elastic.co/beats/filebeat:8.16.4
The cosign
command prints the check results and the signature payload in JSON format:
Verification for docker.elastic.co/beats/filebeat:8.16.4 -- The following checks were performed on each of these signatures: - The cosign claims were validated - Existence of the claims in the transparency log was verified offline - The signatures were verified against the specified public key
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 --rm \ docker.elastic.co/beats/filebeat:8.16.4 \ 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>
Run Filebeat on a read-only file system
editIf you’d like to run Filebeat in a Docker container on a read-only file
system, you can do so by specifying the --read-only
option.
Filebeat requires a stateful directory to store application data, so
with the --read-only
option you also need to use the --mount
option to
specify a path to where that data can be stored.
For example:
docker run --rm \ --mount type=bind,source=$(pwd)/data,destination=/usr/share/filebeat/data \ --read-only \ docker.elastic.co/beats/filebeat:8.16.4
Configure Filebeat on Docker
editThe Docker image provides several methods for configuring Filebeat. The conventional approach is to provide a configuration file via a volume mount, but it’s also possible to create a custom image with your configuration included.
Example configuration file
editDownload this example configuration file as a starting point:
curl -L -O https://raw.githubusercontent.com/elastic/beats/8.16/deploy/docker/filebeat.docker.yml
Volume-mounted configuration
editOne way to configure Filebeat on Docker is to provide filebeat.docker.yml
via a volume mount.
With docker run
, the volume mount can be specified like this.
docker run -d \ --name=filebeat \ --user=root \ --volume="$(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" \ --volume="registry:/usr/share/filebeat/data:rw" \ docker.elastic.co/beats/filebeat:8.16.4 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:8.16.4 COPY --chown=root:filebeat filebeat.yml /usr/share/filebeat/filebeat.yml
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