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0.0.2: Merge pull request #10 from DioCrafts/feature/api-management

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@DioCrafts DioCrafts released this 13 Nov 10:55
· 23 commits to main since this release
c626079

Flusso Release 0.0.2

🚀 Release Summary

Version 0.0.2 of Flusso introduces a range of optimizations, improved error handling, and configuration updates, along with streamlined deployment through Helm and Docker. This release enhances performance, reduces warnings, and facilitates deployment via automated CI/CD configurations.

✨ New Features and Enhancements

  • Build Optimization:

    • Enabled Link-Time Optimization (LTO) to reduce binary size and improve performance in Release builds, as suggested by zamazan4ik. This configuration change improves efficiency and provides a smaller binary size.
    • Established groundwork for future support of Profile-Guided Optimization (PGO) and post-compilation optimization using LLVM BOLT for additional performance gains.
  • Docker Image Versioning and Management:

    • Implemented incremental Docker image versioning (e.g., 0.0.2, 0.0.36) for each release, removing the need for the latest tag.
    • Enhanced deployment integration with Helm, allowing image version specification with the --set image.tag option.
  • Expanded Documentation:

    • Added detailed documentation for modules, including Kubernetes ingress event handling, load balancing, and HTTP proxy server components, offering greater clarity for each aspect of the project.

🛠️ Bug Fixes

  • Compilation Warning Resolution:

    • Resolved multiple warnings related to unused imports, dead code, and unused Result.
    • Adjusted type compatibility between reqwest and actix-web for HTTP headers and status codes.
  • Enhanced Error Handling:

    • Improved error handling in async operations, particularly in background tasks (tokio::spawn) and event listeners (EventListener), ensuring more stable execution.

🙏 Acknowledgments

Special thanks to @zamazan4ik for recommending the use of Link-Time Optimization (LTO) in Cargo.toml and suggesting Profile-Guided Optimization (PGO) as a future enhancement. These insights have helped improve Flusso's performance and guided us toward achieving a more efficient build configuration.