Kafka Streams Field Guide
What you get:
- a digital version of the guide
- 8 chapters, 8 insights
- 3 formats: HTML, PDF and ePub
- examples in both Java and Scala
What you'll learn:
- Choose the right partitioning strategy to maximize throughput, avoid hotspots and ensure correctness
- Tune RocksDB for stability, Kafka Streams' persistent state store.
- How to avoid OOM (Out of Memory) issues that impact large-scale stateful applications
- How Kafka Streams threads, tasks, state stores and partitions interact, so you can build with confidence
- Prevent expensive state-related issues (especially with dependency injection frameworks!)
- Mitigate frequent and long rebalance cycles that kill your application's performance
- Implement bulletproof exception handling for maximum uptime and reliability
15% off will be applied at checkout (Code LAUNCHWEEK)
This discount expires in 04:11:24:43
Size
9.45 MB
Add to wishlist