- 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_cloudfoundry_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
- translate_sid
- 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
- Office 365 module
- Okta 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
- Nginx fields
- Office 365 fields
- Okta 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
- Dashboard could not locate the index-pattern
- Contribute to Beats
Cloud Foundry input
editCloud Foundry input
editThis functionality is in beta and is subject to change. The design and code is less mature than official GA features and is being provided as-is with no warranties. Beta features are not subject to the support SLA of official GA features.
Use the cloudfoundry input to get http access logs, container logs and error logs from Cloud Foundry. Connects to
the Cloud Foundry loggregator to receive events.
Example configurations:
filebeat.inputs: - type: cloudfoundry api_address: https://api.dev.cfdev.sh client_id: uaa-filebeat client_secret: verysecret ssl: verification_mode: none
filebeat.inputs: - type: cloudfoundry api_address: https://api.dev.cfdev.sh client_id: uaa-filebeat client_secret: verysecret ssl.certificate_authorities: ["/etc/pki/cf/ca.pem"] ssl.certificate: "/etc/pki/cf/cert.pem" ssl.key: "/etc/pki/cf/cert.key"
Configuration options
editThe cloudfoundry input supports the following configuration options plus the
Common options described later.
api_address
editThe URL of the Cloud Foundry API. Optional. Default: "http://api.bosh-lite.com".
doppler_address
editThe URL of the Cloud Foundry Doppler Websocket. Optional. Default: "(value from ${api_address}/v2/info)".
uaa_address
editThe URL of the Cloud Foundry UAA API. Optional. Default: "(value from ${api_address}/v2/info)".
rlp_address
editThe URL of the Cloud Foundry RLP Gateway. Optional. Default: "(value from ${api_address}/v2/info)".
client_id
editClient ID to authenticate with Cloud Foundry. Default: "".
client_secret
editClient Secret to authenticate with Cloud Foundry. Default: "".
shard_id
editShard ID for connection to the RLP Gateway. Use the same ID across multiple filebeat to shard the load of events from the RLP Gateway. Default: "(generated UUID)".
ssl
editThis specifies SSL/TLS common config. Default: not used.
Common options
editThe following configuration options are supported by all inputs.
enabled
editUse the enabled option to enable and disable inputs. By default, enabled is
set to true.
tags
editA list of tags that Filebeat includes in the tags field of each published
event. Tags make it easy to select specific events in Kibana or apply
conditional filtering in Logstash. These tags will be appended to the list of
tags specified in the general configuration.
Example:
filebeat.inputs: - type: cloudfoundry . . . tags: ["json"]
fields
editOptional fields that you can specify to add additional information to the
output. For example, you might add fields that you can use for filtering log
data. Fields can be scalar values, arrays, dictionaries, or any nested
combination of these. By default, the fields that you specify here will be
grouped under a fields sub-dictionary in the output document. To store the
custom fields as top-level fields, set the fields_under_root option to true.
If a duplicate field is declared in the general configuration, then its value
will be overwritten by the value declared here.
filebeat.inputs: - type: cloudfoundry . . . fields: app_id: query_engine_12
fields_under_root
editIf this option is set to true, the custom
fields are stored as top-level fields in
the output document instead of being grouped under a fields sub-dictionary. If
the custom field names conflict with other field names added by Filebeat,
then the custom fields overwrite the other fields.
processors
editA list of processors to apply to the input data.
See Processors for information about specifying processors in your config.
pipeline
editThe Ingest Node pipeline ID to set for the events generated by this input.
The pipeline ID can also be configured in the Elasticsearch output, but this option usually results in simpler configuration files. If the pipeline is configured both in the input and output, the option from the input is used.
keep_null
editIf this option is set to true, fields with null values will be published in
the output document. By default, keep_null is set to false.
index
editIf present, this formatted string overrides the index for events from this input
(for elasticsearch outputs), or sets the raw_index field of the event’s
metadata (for other outputs). This string can only refer to the agent name and
version and the event timestamp; for access to dynamic fields, use
output.elasticsearch.index or a processor.
Example value: "%{[agent.name]}-myindex-%{+yyyy.MM.dd}" might
expand to "filebeat-myindex-2019.11.01".
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