Fluent Bit: Official Manual
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1.2
1.2
  • Introduction
  • About
    • Why ?
    • Fluentd & Fluent Bit
    • License
  • Installation
    • Supported Platforms
    • Requirements
    • Download Sources
    • Upgrade Notes
    • Build and Install
    • Build with Static Configuration
    • Docker Images
    • Kubernetes
    • TD Agent Bit
    • Debian Packages
    • Ubuntu Packages
    • CentOS Packages
    • Raspberry Pi
    • Yocto Project
    • Windows
  • Getting Started
    • Service
    • Input
    • Parser
    • Filter
    • Buffer
    • Routing
    • Output
  • Configuration
    • Configuration Schema
    • Configuration File
    • Configuration Variables
    • Configuration Commands
    • Buffering / Storage
    • Monitoring
    • Unit Sizes
    • TLS / SSL
    • Backpressure
    • Memory Usage
    • Upstream Servers
    • Scheduler
    • Stream Processor
  • Service
  • Input Plugins
    • Collectd
    • CPU Usage
    • Disk Usage
    • Dummy
    • Exec
    • Forward
    • Head
    • Health
    • Kernel Log Buffer
    • Memory Usage
    • MQTT
    • Network Traffic
    • Process
    • Random
    • Serial Interface
    • Standard Input
    • Syslog
    • Systemd
    • Tail
    • TCP
    • Thermal
    • Windows Event Log
  • Parsers
    • JSON Parser
    • Regular Expression Parser
    • LTSV Parser
    • Logfmt Parser
    • Decoders
  • Filter Plugins
    • Grep
    • Kubernetes
    • Lua
    • Parser
    • Record Modifier
    • Standard Output
    • Throttle
    • Nest
    • Modify
  • Output Plugins
    • Azure
    • BigQuery
    • Counter
    • Datadog
    • Elasticsearch
    • File
    • FlowCounter
    • Forward
    • GELF
    • HTTP
    • InfluxDB
    • Kafka
    • Kafka REST Proxy
    • NATS
    • Null
    • Stackdriver
    • Standard Output
    • Splunk
    • TCP & TLS
    • Treasure Data
  • Fluent Bit for Developers
    • Library API
    • Ingest Records Manually
    • Fluent Bit and Golang Plugins
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  1. Getting Started

Filter

Last updated 5 years ago

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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.

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