Calyptia Core Agent
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24.4
24.4
  • Calyptia Core Agent Documentation
  • Comparison to Fluent Bit
  • Performance and Benchmarking
  • Concepts
    • Key Concepts
    • Buffering
    • Data Pipeline
      • Input
      • Parser
      • Filter
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      • Router
      • Output
  • Installation
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    • Linux
      • RHEL-based
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    • Configuring Calyptia Core Agent
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    • HTTP Proxy
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  • Local Testing
    • Validating your Data and Structure
    • Running a Logging Pipeline Locally
  • Data Pipeline
    • Inputs
      • Collectd
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      • Prometheus Scrape Metrics
      • Random
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      • Standard Input
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      • Systemd
      • Tail
      • TCP
      • Thermal
      • OpenTelemetry
      • Windows Event Log
      • Windows Event Log (winevtlog)
      • Windows Exporter Metrics
    • Parsers
      • Configuring Parser
      • JSON
      • Regular Expression
      • LTSV
      • Logfmt
      • Decoders
    • Filters
      • AWS Metadata
      • CheckList
      • ECS Metadata
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      • Record Modifier
      • Modify
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      • Rewrite Tag
      • Standard Output
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      • Wasm
    • Outputs
      • Amazon CloudWatch
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      • File
      • FlowCounter
      • Forward
      • GELF
      • Google Cloud BigQuery
      • HTTP
      • InfluxDB
      • Kafka
      • Kafka REST Proxy
      • LogDNA
      • Loki
      • NATS
      • New Relic
      • NULL
      • Observe
      • OpenSearch
      • OpenTelemetry
      • PostgreSQL
      • Prometheus Exporter
      • Prometheus Remote Write
      • SkyWalking
      • Slack
      • Splunk
      • Stackdriver
      • Standard Output
      • Syslog
      • TCP & TLS
      • Treasure Data
      • Vivo Exporter
      • WebSocket
  • Calyptia Core Agent for Developers
    • Golang Output Plugins
    • WASM Filter Plugins
    • WASM Input Plugins
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  1. Concepts
  2. Data Pipeline

Filter

Modify, Enrich or Drop your records

PreviousParserNextBuffer

Last updated 1 year ago

In production environments we want to have full control of the data we are collecting, filtering is an important feature that allows us to alter the data before delivering it to some destination.

Filtering is implemented through plugins, so each filter available could be used to match, exclude or enrich your logs with some specific metadata.

We support many filters, A common use case for filtering is Kubernetes deployments. Every Pod log needs to get the proper metadata associated

Very similar to the input plugins, Filters run in an instance context, which has its own independent configuration. Configuration keys are often called properties.

For more details about the Filters available and their usage, please refer to the section.

Filters