Rsyslog is a rocket-fast system for log processing.
It offers high-performance, advanced security features, and a modular design. Originally a regular syslogd, rsyslog has evolved into a highly versatile logging solution capable of ingesting data from numerous sources, transforming it, and outputting it to a wide variety of destinations.
Rsyslog can deliver over one million messages per second to local destinations under minimal processing (based on v7, Dec 2013). Even with complex routing and remote forwarding, performance remains excellent.
- Mailing List: rsyslog mailing list
- GitHub Issues: Open an issue
Rsyslog is available in the package repositories of most Linux distributions. On non-systemd systems (e.g., Ubuntu), rsyslog is often pre-installed.
Distributions often lag behind in packaging the latest rsyslog releases. Official builds for newer versions are available here:
See: Build Instructions
pkg-configlibestrliblogging(stdlog component, for testbench)
Build support libraries from source if you're working with the latest git master.
Refer to the respective section in the original README for required packages on CentOS, Ubuntu, Debian, SUSE, etc.
For a ready-to-use environment, use the images from rsyslog-docker. They contain all build dependencies. Run the test suite with make check (limit to -j4).
Rsyslog is a community-driven open-source project. Contributions are welcome and encouraged!
- See CONTRIBUTING.md for detailed contribution guidelines.
- To develop new output plugins in Python or Perl, see: plugins/external/README.md
If you're working with AI coding agents (e.g. GitHub Copilot, OpenAI Codex), note that we support these workflows with agent-specific instructions in AGENTS.md.
We are currently testing AI-based code review for pull requests. At this time, we use Google Gemini to automatically analyze code and provide comments on new PRs.
- These reviews are informational only.
- Every contribution is still manually reviewed by human experts.
- The goal is to evaluate how AI can support contributor feedback and code quality assurance.
Please report any issues, false positives, or suggestions about the AI review process.
The complete and current documentation is maintained in the separate rsyslog-doc project.
Visit the latest version online:
Rsyslog development is driven by real-world use cases, open standards, and an active community. While sponsored primarily by Adiscon, technical decisions are made independently via mailing list consensus.
All contributors are welcome—there is no formal membership beyond participation.
Adiscon GmbH supports rsyslog through:
- Custom development services
- Professional support contracts
Third-party contributions, services, and integrations are welcome.
Contributions to rsyslog are stored in git history and publicly distributed. Please refer to CONTRIBUTING.md for detailed GDPR-related information.