Deployed Over Fifteen Billion Times
Fluent Bit is a super fast, lightweight, and highly scalable logging, metrics, and traces processor and forwarder. It is the preferred choice for cloud and containerized environments.
Latest stable release
v5.0.0 Released on March 24, 2026 Read the notes »
pipeline: inputs: - name: tail path: /var/log/system.log tag: app.logs processors: - name: opentelemetry_envelope - name: record_modifier record: service.name: checkout outputs: - name: opentelemetry match: * host: otel-gateway.monitoring.svc port: 4318 logs_uri: /v1/logs
OpenTelemetry
Fluent Bit provides native OpenTelemetry support through OTLP ingestion and delivery, while operating efficiently across hybrid environments. As a high-performance data plane, it moves, processes, and routes telemetry data at scale across logs, metrics, and traces.
Proven across distributed cloud and container environments. Highly available with I/O handlers to store data for disaster recovery.
> 1pb data throughput across thousands of sources and destinations daily
Granular management of data parsing and routing. Filtering and enrichment to optimize security and minimize cost.
> 1 Billion sources managed by Fluent Bit - from IoT Devices to Windows and Linux servers.
Lightweight, asynchronous design optimizes resource usage: CPU, memory, disk I/O, network. No more OOM errors!
~ 450kb minimal footprint maximizes asset support. Zero external dependencies.
Integration with all your technology - cloud native services, containers, streaming processors, and data backends.
80+ Plugins for inputs, filters, analytics tools and outputs.
Fluent Bit is a CNCF graduated project under the Fluent organization.
We are part of a large open source community. No vendor lock-in.
Fully event driven design, leverages the operating system API for performance and reliability. All operations to collect and deliver data are asynchronous
Optimized data parsing and routing to improve security and reduce overall cost. Distribute data to multiple destinations with a zero copy strategy
Simple, granular controls enable detailed orchestration and management of data collection and transfer across your entire ecosystem
An abstracted I/O layer supports high-scale read/write operations and enables optimized data routing and support for stream processing
Removes challenges with handling TCP connections to upstream data sources. Simplifies connection process, manages timeout/network exceptions and Keepalived states
When delivering data to destinations, output connectors inherit full TLS capabilities in an abstracted way. Add your certificates as required.
Leave your email and get connected with our lastest news, relases and more.