- Packetbeat Reference: other versions:
- Packetbeat overview
- Quick start: installation and configuration
- Set up and run
- Upgrade Packetbeat
- Configure
- Traffic sniffing
- Network flows
- Protocols
- Processes
- General settings
- Project paths
- 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_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
- rate_limit
- registered_domain
- rename
- replace
- syslog
- translate_ldap_attribute
- translate_sid
- truncate_fields
- urldecode
- Internal queue
- Logging
- HTTP endpoint
- Instrumentation
- Feature flags
- packetbeat.reference.yml
- How to guides
- Exported fields
- AMQP fields
- Beat fields
- Cassandra fields
- Cloud provider metadata fields
- Common fields
- DHCPv4 fields
- DNS fields
- Docker fields
- ECS fields
- Flow Event fields
- Host fields
- HTTP fields
- ICMP fields
- Jolokia Discovery autodiscover provider fields
- Kubernetes fields
- Memcache fields
- MongoDb fields
- MySQL fields
- NFS fields
- PostgreSQL fields
- Process fields
- Raw fields
- Redis fields
- SIP fields
- Thrift-RPC fields
- Detailed TLS fields
- Transaction Event fields
- Measurements (Transactions) fields
- Monitor
- Secure
- Visualize Packetbeat data in Kibana
- Troubleshoot
- Get help
- Debug
- Understand logged metrics
- Record a trace
- Common problems
- Dashboard in Kibana is breaking up data fields incorrectly
- Packetbeat doesn’t see any packets when using mirror ports
- Packetbeat can’t capture traffic from Windows loopback interface
- Packetbeat is missing long running transactions
- Packetbeat isn’t capturing MySQL performance data
- Packetbeat 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
- Fields show up as nested JSON in Kibana
- Contribute to Beats
Parse data using an ingest pipeline
editParse data using an ingest pipeline
editWhen you use Elasticsearch for output, you can configure Packetbeat to use an ingest pipeline to pre-process documents before the actual indexing takes place in Elasticsearch. An ingest pipeline is a convenient processing option when you want to do some extra processing on your data, but you do not require the full power of Logstash. For example, you can create an ingest pipeline in Elasticsearch that consists of one processor that removes a field in a document followed by another processor that renames a field.
After defining the pipeline in Elasticsearch, you simply configure Packetbeat
to use the pipeline. To configure Packetbeat, you specify the pipeline ID in
the parameters
option under elasticsearch
in the packetbeat.yml
file:
output.elasticsearch: hosts: ["localhost:9200"] pipeline: my_pipeline_id
For example, let’s say that you’ve defined the following pipeline in a file
named pipeline.json
:
{ "description": "Test pipeline", "processors": [ { "lowercase": { "field": "agent.name" } } ] }
To add the pipeline in Elasticsearch, you would run:
curl -H 'Content-Type: application/json' -XPUT 'http://localhost:9200/_ingest/pipeline/test-pipeline' -d@pipeline.json
Then in the packetbeat.yml
file, you would specify:
output.elasticsearch: hosts: ["localhost:9200"] pipeline: "test-pipeline"
When you run Packetbeat, the value of agent.name
is converted to lowercase before indexing.
For more information about defining a pre-processing pipeline, see the ingest pipeline documentation.
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