February 2026 monthly summary: Delivered RustFS-based storage for quickstart, strengthened documentation and deployment reliability for RustFS, and enhanced data processing with Arrow-based vector search support in Lance writer. These efforts deliver faster onboarding, more predictable deployments, and improved data processing efficiency for Fluss and associated systems.

Monthly summary for 2026-01: Key features delivered: - Cross-client BucketingFunction consistency tests: Added a BucketingFunctionTest to verify consistent hashing across Java and Rust clients and across data lake formats. Commits: fc04763fb043e83353fe2ee9353fd4aaf00c3616. - Documentation: Client Feature Support Matrix: Introduced comprehensive docs detailing client feature support across data operations, data types, admin operations, and data lake formats. Commit: 905590e3e37412596b27fe5bf74b844b34cdc9c6. - Testing: TimestampLtz and TimestampNtz conversions edge cases: Enhanced tests covering zero/negative values and string representations. Commit: 4e91db47ba7623e130038814fc78c10ac106dbfc. Major bugs fixed: - No major bugs fixed this month; improvements realized via expanded test coverage reducing risk in edge-case scenarios and improving developer experience. Overall impact and accomplishments: - Strengthened cross-language interoperability and data consistency, enabling reliable multi-language deployments and faster validation of bucketing logic across Java and Rust clients and data lake formats. - Improved developer experience and onboarding via the Client Feature Support Matrix docs, reducing ambiguity around feature availability and data lake format support. - Reduced risk related to date/time conversions through targeted edge-case tests, increasing correctness in timestamp serialization across time zones. Technologies/skills demonstrated: - Java and Rust interoperability; cross-client testing strategies; test-driven development; documentation writing; data lake format coverage; timestamp handling and conversions; BucketingFunction design and consistent hashing.