Technical Architect @ CNH Care || CFA Level 1 || Spring Security || Spring API Gateway || JPA || Springboot || Microservices || Rate limiter || Healthcare || Investment || HLD || LLD
Curious about the tech behind real-time data processing at scale? My latest article dives into how RocksDB, a robust key-value store, powers Apache Kafka for high-throughput applications. Here’s why RocksDB is essential in Kafka: 1. Manages stateful stream processing — keeps track of events to ensure accurate results. 2. Powers fast, local reads — ideal for data-heavy operations. 3. Enables complex operations like joins and aggregations — crucial in finance, e-commerce, and gaming. 4. Supports custom state management — from session tracking to in-game currency tracking. But RocksDB isn’t limited to Kafka alone! With its LSM tree architecture and multi-threaded capabilities, it’s also a go-to choice in many other distributed systems. In the article, I unpack: - Real-world use cases - Code examples - Best practices and pitfalls Dive into the full story here 👉 https://lnkd.in/geMVbyR6 Let me know your thoughts on RocksDB’s role in stream processing! #RocksDB #ApacheKafka #DataEngineering #DistributedSystems
