Discussions

I am currently evaluating Lasp for managing state synchronization across multiple distributed nodes. My primary focus is to ensure absolute data consistency while keeping the latency as low as possible under heavy concurrent loads.

When relying heavily on Delta-State CRDTs for continuous, real-time updates, what are the current best practices for garbage collection or state compaction to keep the memory footprint optimized over long periods?

Would love to hear some production insights or architectural recommendations from anyone who has handled similar cluster overhead challenges.