DEV.co
Open-Source Observability · fluent

fluent-bit

Fluent Bit is a lightweight, open-source agent for collecting, processing, and forwarding logs, metrics, and traces from any source to any destination. It runs on Linux, Windows, macOS, BSD, and embedded systems with minimal resource overhead and supports 70+ built-in plugins for flexible data pipeline configuration.

Source: GitHub — github.com/fluent/fluent-bit
8k
GitHub stars
1.9k
Forks
C
Primary language
Apache-2.0
License (OSI-approved)

Key facts

Objective fields from the source. Values we can't verify are shown as “Unknown” rather than guessed.

FieldValue
Repositoryfluent/fluent-bit
Ownerfluent
Primary languageC
LicenseApache-2.0 — OSI-approved
Stars8k
Forks1.9k
Open issues737
Latest releasev5.0.9 (2026-07-04)
Last updated2026-07-08
Sourcehttps://github.com/fluent/fluent-bit

What fluent-bit is

Written in C with a pluggable architecture, Fluent Bit provides unified telemetry collection (logs, metrics, traces) via input/filter/output pipelines, SQL-based stream processing, Lua filter scripting, TLS/SSL networking, and Prometheus metrics exposure. Extensible via C plugins, Lua filters, and Go outputs.

Quickstart

Get the fluent-bit source

Clone the repository and explore it locally.

terminalbash
git clone https://github.com/fluent/fluent-bit.gitcd fluent-bit# follow the project's README for install & configuration

Need it deployed, integrated, or customized instead? DEV.co ships production installs.

Best use cases

Cloud-native logging at scale

Deploy as a lightweight sidecar or DaemonSet in Kubernetes environments to collect and forward container logs to centralized logging platforms (ELK, Splunk, CloudWatch) with minimal CPU/memory footprint.

Multi-source telemetry aggregation

Collect logs, metrics, and traces from heterogeneous systems (on-prem, cloud, edge) and normalize them into a single pipeline for unified observability and CNCF stack integration.

Edge and embedded monitoring

Deploy on resource-constrained devices and edge nodes to stream device telemetry and system metrics to central monitoring systems without requiring heavy agent infrastructure.

Implementation considerations

  • Configuration via TOML/YAML with plugin-based pipeline model; test thoroughly in staging before production rollout due to plugin interdependencies.
  • Memory footprint and CPU usage scale with data volume and filter complexity; monitor resource consumption to avoid pipeline bottlenecks.
  • TLS/SSL support is built-in but requires proper certificate management and validation—ensure endpoint security is configured for sensitive data.
  • Lua-based filters and SQL stream processing add flexibility but require development effort and testing; pre-built plugins cover common use cases.
  • Version upgrades follow a 3–4 month release cycle; plan for regular updates to stay current with bug fixes and feature additions.

When to avoid it — and what to weigh

  • Stateful, high-complexity transformations — If you need extensive stateful processing or complex machine-learning-based enrichment, consider Kafka Streams, Spark, or full Fluentd—Fluent Bit optimizes for lightweight forwarding, not heavy computation.
  • Windows-only or proprietary OS ecosystems — While Fluent Bit supports Windows, its primary optimization focus is Linux/containerized workloads. Niche or proprietary OS platforms may lack community testing and support.
  • Low community expertise with C/Lua plugin development — Custom plugin development requires C and potentially Lua proficiency. Teams without this skillset may face steep learning curves for advanced extensibility beyond built-in plugins.
  • Guaranteed commercial SLA requirements without vendor support — Fluent Bit is community-maintained. Organizations requiring guaranteed SLAs, priority support, or long-term vendor backing should evaluate commercial Fluentd or paid observability platforms.

License & commercial use

Licensed under Apache License 2.0, a permissive OSI-approved license allowing commercial use, modification, and distribution with minimal restrictions (retain copyright/license notices, no liability).

Apache 2.0 permits commercial use without licensing fees or vendor permission. However, the project is community-maintained; organizations requiring commercial support contracts, guaranteed SLAs, or indemnification should evaluate commercial options or support partnerships (not stated in data provided—requires review with vendor).

DEV.co evaluation signals

Editorial assessment — not user reviews. Directional, with an explicit confidence level.

SignalAssessment
MaintenanceActive
DocumentationStrong
License clarityClear
Deployment complexityLow
DEV.co fitStrong
Assessment confidenceHigh
Security considerations

Built-in TLS/SSL support and async I/O reduce attack surface for network communication. No security audit or vulnerability disclosure timeline mentioned in data. Standard open-source practices apply: review upstream dependencies, validate plugin sources, keep version current, and apply principle of least privilege for sidecar/agent permissions. Consider network segmentation and API endpoint authentication in deployment.

Alternatives to consider

Fluentd

Heavier, more feature-rich alternative in the same ecosystem. Preferred if you need extensive stateful transformations, Ruby plugin ecosystem, or require commercial support; less suitable for resource-constrained environments.

Filebeat / ELK Stack

Elasticsearch-focused lightweight shipper with strong Kubernetes integration and commercial backing. Better if you're committed to the ELK stack; less flexible for multi-destination, multi-format telemetry pipelines.

Telegraf (InfluxDB)

Lightweight metrics and logs collector focused on InfluxDB and time-series platforms. Better for metrics-first use cases; less suitable for complex multi-source, multi-destination log aggregation.

Software development agency

Build on fluent-bit with DEV.co software developers

Fluent Bit offers flexible, resource-efficient telemetry collection for Kubernetes and cloud-native environments. Evaluate fit for your architecture and deployment strategy with our technical team.

Talk to DEV.co

Related open-source tools

Surfaced by semantic similarity across the DEV.co open-source index.

Related on DEV.co

Explore the category and the services that help you build with it.

fluent-bit FAQ

Does Fluent Bit support Kubernetes logs collection?
Yes. Fluent Bit is commonly deployed as a DaemonSet to collect container logs via Kubernetes input plugin, with direct integration to major observability platforms. Documentation and Helm charts are available.
Can I write custom plugins?
Yes. Input and filter plugins use C; output plugins can use Go. Development requires familiarity with the respective language and the Fluent Bit plugin API. Community support and examples are available.
What is the performance overhead?
Fluent Bit is optimized for low memory and CPU footprint. Exact overhead depends on data volume, plugin count, and filter complexity. Community reports show typical sidecar memory usage in the 10–50 MB range; benchmark with your workload.
Is Fluent Bit suitable for mission-critical production?
Yes, it is widely used in production (10M+ daily deployments, 15B+ downloads). However, it is community-maintained; organizations requiring guaranteed SLAs or vendor support should evaluate commercial alternatives or support partnerships.

Software development & web development with DEV.co

From first prototype to production, DEV.co delivers software development services around tools like fluent-bit. Our software development agency staffs experienced software developers and web developers for custom software development, web development, integrations, and ongoing support across open-source observability and beyond.

Ready to streamline your observability pipeline?

Fluent Bit offers flexible, resource-efficient telemetry collection for Kubernetes and cloud-native environments. Evaluate fit for your architecture and deployment strategy with our technical team.