Fluent Bit: Official Manual
SlackGitHubCommunity MeetingsSandbox and LabsWebinars
1.5
1.5
  • Fluent Bit v1.5 Documentation
  • About
    • What is Fluent Bit ?
    • A Brief History of Fluent Bit
    • Fluentd & Fluent Bit
    • License
  • Concepts
    • Key Concepts
    • Buffering
    • Data Pipeline
      • Input
      • Parser
      • Filter
      • Buffer
      • Router
      • Output
  • Installation
    • Upgrade Notes
    • Supported Platforms
    • Requirements
    • Sources
      • Download Source Code
      • Build and Install
      • Build with Static Configuration
    • Linux Packages
      • Amazon Linux
      • Redhat / CentOS
      • Debian
      • Ubuntu
      • Raspbian / Raspberry Pi
    • Docker
    • Containers on AWS
    • Amazon EC2
    • Kubernetes
    • Yocto / Embedded Linux
    • Windows
  • Administration
    • Configuring Fluent Bit
      • Format and Schema
      • Configuration File
      • Variables
      • Commands
      • Upstream Servers
      • Unit Sizes
      • Record Accessor
    • Security
    • Buffering & Storage
    • Backpressure
    • Scheduling and Retries
    • Networking
    • Memory Management
    • Monitoring
    • Dump Internals / Signal
  • Local Testing
    • Validating your Data and Structure
    • Running a Logging Pipeline Locally
  • Data Pipeline
    • Inputs
      • Collectd
      • CPU Metrics
      • Disk I/O Metrics
      • Docker Events
      • Dummy
      • Exec
      • Forward
      • Head
      • Health
      • Kernel Logs
      • Memory Metrics
      • MQTT
      • Network I/O Metrics
      • Process
      • Random
      • Serial Interface
      • Standard Input
      • Syslog
      • Systemd
      • Tail
      • TCP
      • Thermal
      • Windows Event Log
    • Parsers
      • JSON
      • Regular Expression
      • LTSV
      • Logfmt
      • Decoders
    • Filters
      • AWS Metadata
      • Expect
      • Grep
      • Kubernetes
      • Lua
      • Parser
      • Record Modifier
      • Rewrite Tag
      • Standard Output
      • Throttle
      • Nest
      • Modify
    • Outputs
      • Amazon CloudWatch
      • Azure
      • BigQuery
      • Counter
      • Datadog
      • Elasticsearch
      • File
      • FlowCounter
      • Forward
      • GELF
      • HTTP
      • InfluxDB
      • Kafka
      • Kafka REST Proxy
      • LogDNA
      • NATS
      • New Relic
      • NULL
      • PostgreSQL
      • Stackdriver
      • Standard Output
      • Splunk
      • Syslog
      • TCP & TLS
      • Treasure Data
  • Stream Processing
    • Introduction to Stream Processing
    • Overview
    • Changelog
    • Getting Started
      • Fluent Bit + SQL
      • Check Keys and NULL values
      • Hands On! 101
  • Fluent Bit for Developers
    • C Library API
    • Ingest Records Manually
    • Golang Output Plugins
    • Developer guide for beginners on contributing to Fluent Bit
Powered by GitBook
On this page

Was this helpful?

Export as PDF
  1. Concepts
  2. Data Pipeline

Filter

Modify, Enrich or Drop your records

Last updated 4 years ago

Was this helpful?

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