- Packetbeat Reference: other versions:
- Overview
- Getting started with Packetbeat
- Setting up and running Packetbeat
- Upgrading Packetbeat
- Configuring Packetbeat
- Set traffic capturing options
- Set up flows to monitor network traffic
- Specify which transaction protocols to monitor
- Specify which processes to monitor
- Specify general settings
- Configure the internal queue
- Configure the output
- Configure index lifecycle management
- Specify SSL settings
- Filter and enhance the exported data
- Define processors
- Add cloud metadata
- Add fields
- Add labels
- Add the local time zone
- Add tags
- Decode JSON fields
- Decode Base64 fields
- Decompress gzip fields
- Community ID Network Flow Hash
- Convert
- Drop events
- Drop fields from events
- Extract array
- Keep fields from events
- Registered Domain
- Rename fields from events
- Add Kubernetes metadata
- Add Docker metadata
- Add Host metadata
- Add Observer metadata
- Dissect strings
- DNS Reverse Lookup
- Add process metadata
- Parse data by using ingest node
- Enrich events with geoIP information
- Configure project paths
- Configure the Kibana endpoint
- Load the Kibana dashboards
- Load the Elasticsearch index template
- Configure logging
- Use environment variables in the configuration
- YAML tips and gotchas
- HTTP Endpoint
- packetbeat.reference.yml
- 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
- Thrift-RPC fields
- TLS fields
- Transaction Event fields
- Measurements (Transactions) fields
- Monitoring Packetbeat
- Securing Packetbeat
- Visualizing Packetbeat data in Kibana
- Troubleshooting
- Get help
- Debug
- 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
- @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
- Fields show up as nested JSON in Kibana
- Contributing to Beats
IMPORTANT: No additional bug fixes or documentation updates
will be released for this version. For the latest information, see the
current release documentation.
Dissect strings
editDissect strings
editThe dissect processor tokenizes incoming strings using defined patterns.
processors: - dissect: tokenizer: "%{key1} %{key2}" field: "message" target_prefix: "dissect"
The dissect processor has the following configuration settings:
-
field -
(Optional) The event field to tokenize. Default is
message. -
target_prefix -
(Optional) The name of the field where the values will be extracted. When an empty
string is defined, the processor will create the keys at the root of the event. Default is
dissect. When the target key already exists in the event, the processor won’t replace it and log an error; you need to either drop or rename the key before using dissect.
For tokenization to be successful, all keys must be found and extracted, if one of them cannot be found an error will be logged and no modification is done on the original event.
A key can contain any characters except reserved suffix or prefix modifiers: /,&, +
and ?.
See Conditions for a list of supported conditions.
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