# fluent/fluent-bit

Fast and Lightweight Logs, Metrics and Traces processor for Linux, BSD, OSX and Windows

Repository: https://github.com/fluent/fluent-bit
Canonical: https://ross.abutalabs.com/products/fluent-bit
Homepage: https://fluentbit.io
Language: C
License: Apache-2.0
License Family: permissive
Topics: fluentd, c, logging, data-collector, fluent-bit, forwarder, cloudnative, stream-processing, sql-queries, metrics, traces, logs, opentelemetry, prometheus
Last push: 2026-08-26T22:10:06+00:00

## Health v2 (maintenance only)
Score: 99/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 99, release rhythm 98, longevity 100
- inputs: {"age_days": 4236, "days_push": 7, "days_rel": 17, "gap_med": 10.0, "n_releases_24m": 53}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 8062, forks 1985 (observed 2026-08-28T04:10:12.400876+00:00)

## What it is
Fluent Bit is a fast, lightweight telemetry agent written in C that collects, processes, and forwards logs, metrics, and traces from any source to any destination. It is a CNCF graduated ecosystem project with a pluggable architecture (70+ plugins), SQL stream processing, and native OpenTelemetry support.

## Use cases
- collect and forward container logs to elasticsearch
- ship kubernetes pod logs to a central logging backend
- tail log files and parse json or regex messages
- route opentelemetry traces and metrics to a collector
- lightweight log agent for low-memory or embedded devices
- enrich and filter telemetry records before delivery
- run sql queries over streaming log data
- expose prometheus metrics from a data pipeline

## When to choose
- you need a high-throughput, low-footprint log/metrics/traces forwarder
- you run cloud-native or containerized (docker/kubernetes) workloads
- you want opentelemetry-native ingestion and delivery
- you need broad platform support including windows, bsd, and embedded arm

## When to avoid
- you need heavy in-pipeline analytics better suited to a stream processor like flink
- you prefer configuring fluentd with its large ruby plugin ecosystem
- you want a full observability backend rather than a data shipper

## Facets
- artifact type: service
- maturity: stable
- function: logging, monitoring, tracing, streaming, etl, middleware
- domain: monitoring, cloud-computing, self-hosted
- platform: windows, bsd, self-hosted, cloud, embedded
- tags: telemetry-agent, opentelemetry, prometheus, log-forwarder, cncf, data-pipeline, otlp, fluentd, devops, containers, linux, macos, docker, kubernetes

## Member repositories
- fluent/fluent-bit (main) score 99

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:10:12.400876+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-29T17:31:22.696003+00:00, confidence not recorded.
  - readme: https://github.com/fluent/fluent-bit (fetched 2026-08-28T04:10:12.400876+00:00, sha cb8cab2ca2ea)
  - homepage: https://fluentbit.io (fetched 2026-08-29T08:29:03.313908+00:00, sha a77bc8550d75)
  - site_page: https://docs.fluentbit.io/manual (fetched 2026-08-29T08:29:03.323356+00:00, sha a21b0e469f47)
  - site_page: https://docs.fluentbit.io/manual/installation/getting-started-with-fluent-bit (fetched 2026-08-29T08:29:03.325185+00:00, sha 137238160ef4)
- Data as of 2026-08-30T08:39:29.467469+00:00.