- 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_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
- detect_mime_type
- dissect
- dns
- drop_event
- drop_fields
- extract_array
- fingerprint
- include_fields
- rate_limit
- registered_domain
- rename
- script
- timestamp
- translate_sid
- truncate_fields
- urldecode
- Autodiscover
- Internal queue
- Load balancing
- Logging
- HTTP endpoint
- Regular expression support
- Instrumentation
- 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 by using ingest node
- Use environment variables in the configuration
- Avoid YAML formatting problems
- Beats central management
- Modules
- Modules overview
- ActiveMQ module
- Apache module
- Auditd module
- AWS module
- Azure module
- Barracuda module
- Bluecoat module
- CEF module
- Check Point module
- Cisco module
- CoreDNS module
- Crowdstrike module
- Cyberark module
- Cylance module
- Elasticsearch module
- Envoyproxy Module
- F5 module
- Fortinet module
- Google Cloud module
- Google Workspace module
- GSuite 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
- PostgreSQL module
- Proofpoint module
- RabbitMQ module
- Radware module
- Redis module
- Santa module
- Snort module
- Snyk module
- Sonicwall module
- Sophos module
- Squid module
- Suricata module
- System module
- Tomcat module
- Traefik module
- Zeek (Bro) Module
- Zoom module
- Zscaler module
- Exported fields
- ActiveMQ fields
- Apache fields
- Auditd fields
- AWS fields
- aws-cloudwatch 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
- Cyber-Ark 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
- gsuite 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
- 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
- PostgreSQL fields
- Process fields
- Proofpoint Email Security fields
- RabbitMQ fields
- Radware DefensePro fields
- Redis fields
- s3 fields
- Google Santa fields
- Snort/Sourcefire fields
- Snyk fields
- Sonicwall-FW fields
- sophos fields
- Squid fields
- Suricata fields
- System fields
- Apache Tomcat fields
- Traefik fields
- Zeek fields
- Zoom fields
- Zscaler NSS 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
- 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
Use Metricbeat to send monitoring data
editUse Metricbeat to send monitoring data
editIn 7.3 and later, you can use Metricbeat to collect data about Filebeat and ship it to the monitoring cluster. The benefit of using Metricbeat instead of internal collection is that the monitoring agent remains active even if the Filebeat instance dies.
To collect and ship monitoring data:
Configure the shipper you want to monitor
edit-
Enable the HTTP endpoint to allow external collection of monitoring data:
Add the following setting in the Filebeat configuration file (
filebeat.yml
):http.enabled: true
By default, metrics are exposed on port 5066. If you need to monitor multiple Beats shippers running on the same server, set
http.port
to expose metrics for each shipper on a different port number:http.port: 5067
-
Disable the default collection of Filebeat monitoring metrics.
Add the following setting in the Filebeat configuration file (
filebeat.yml
):monitoring.enabled: false
For more information, see Monitoring configuration options.
-
Configure host (optional).
If you intend to get metrics using Metricbeat installed on another server, you need to bind the Filebeat to host’s IP:
http.host: xxx.xxx.xxx.xxx
-
Configure cluster uuid (optional).
To see the Beats monitoring section in Kibana if you have a cluster, you need to associate the Filebeat with cluster UUID:
monitoring.cluster_uuid: "cluster-uuid"
- Start Filebeat.
Install and configure Metricbeat to collect monitoring data
edit- Install Metricbeat on the same server as Filebeat. To learn how, see Get started with Metricbeat. If you already have Metricbeat installed on the server, skip this step.
-
Enable the
beat-xpack
module in Metricbeat.For example, to enable the default configuration in the
modules.d
directory, run the following command, using the correct command syntax for your OS:metricbeat modules enable beat-xpack
For more information, see Configure modules and beat module.
-
Configure the
beat-xpack
module in Metricbeat.The
modules.d/beat-xpack.yml
file contains the following settings:- module: beat metricsets: - stats - state period: 10s hosts: ["http://localhost:5066"] #username: "user" #password: "secret" xpack.enabled: true
Set the
hosts
,username
, andpassword
settings as required by your environment. For other module settings, it’s recommended that you accept the defaults.By default, the module collects Filebeat monitoring data from
localhost:5066
. If you exposed the metrics on a different host or port when you enabled the HTTP endpoint, update thehosts
setting.To monitor multiple Beats agents, specify a list of hosts, for example:
hosts: ["http://localhost:5066","http://localhost:5067","http://localhost:5068"]
If you configured Filebeat to use encrypted communications, you must access it via HTTPS. For example, use a
hosts
setting likehttps://localhost:5066
.If the Elastic security features are enabled, you must also provide a user ID and password so that Metricbeat can collect metrics successfully:
-
Create a user on the Elasticsearch cluster that has the
remote_monitoring_collector
built-in role. Alternatively, if it’s available in your environment, use theremote_monitoring_user
built-in user. -
Add the
username
andpassword
settings to the beat module configuration file.
-
Create a user on the Elasticsearch cluster that has the
-
Optional: Disable the system module in the Metricbeat.
By default, the system module is enabled. The information it collects, however, is not shown on the Stack Monitoring page in Kibana. Unless you want to use that information for other purposes, run the following command:
metricbeat modules disable system
-
Identify where to send the monitoring data.
In production environments, we strongly recommend using a separate cluster (referred to as the monitoring cluster) to store the data. Using a separate monitoring cluster prevents production cluster outages from impacting your ability to access your monitoring data. It also prevents monitoring activities from impacting the performance of your production cluster.
For example, specify the Elasticsearch output information in the Metricbeat configuration file (
metricbeat.yml
):output.elasticsearch: # Array of hosts to connect to. hosts: ["http://es-mon-1:9200", "http://es-mon2:9200"] # Optional protocol and basic auth credentials. #protocol: "https" #api_key: "id:api_key" #username: "elastic" #password: "changeme"
In this example, the data is stored on a monitoring cluster with nodes
es-mon-1
andes-mon-2
.Specify one of
api_key
orusername
/password
.If you configured the monitoring cluster to use encrypted communications, you must access it via HTTPS. For example, use a
hosts
setting likehttps://es-mon-1:9200
.The Elasticsearch monitoring features use ingest pipelines, therefore the cluster that stores the monitoring data must have at least one ingest node.
If the Elasticsearch security features are enabled on the monitoring cluster, you must provide a valid user ID and password so that Metricbeat can send metrics successfully:
-
Create a user on the monitoring cluster that has the
remote_monitoring_agent
built-in role. Alternatively, if it’s available in your environment, use theremote_monitoring_user
built-in user.If you’re using index lifecycle management, the remote monitoring user requires additional privileges to create and read indices. For more information, see Grant users access to secured resources.
-
Add the
username
andpassword
settings to the Elasticsearch output information in the Metricbeat configuration file.
For more information about these configuration options, see Configure the Elasticsearch output.
-
- Start Metricbeat to begin collecting monitoring data.
- View the monitoring data in Kibana.
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