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Real-Time Stream Processor
Open SourceA high-performance stream processing engine written in Rust that guarantees exactly-once semantics while maintaining sub-millisecond latency.
Problem
Existing solutions either sacrificed correctness for speed or required complex infrastructure. I wanted something simple, fast, and correct.
Architecture
Event-driven architecture with a custom WAL (Write-Ahead Log) implementation. Uses Kafka for ingestion and Redis for state management.
Challenges
Implementing exactly-once semantics in a distributed setting without a heavy coordinator. Solved using idempotent consumers and deterministic processing.
Lessons Learned
Rust's ownership model forces you to think about concurrency correctly from the start. This prevented an entire class of bugs I would have had in other languages.
Tech Stack
RustApache KafkaRedisgRPCTokioProtocol Buffers
Details
Timeline2024
StatusOpen Source