3 (More) Tips for Optimizing Apache Flink Applications - Shopify

What this post added

This post provides three additional best practices for optimizing large stateful Apache Flink applications: 1. Setting the right parallelism by understanding task slot sharing and the relationship between task managers, slots, and parallelism values. 2. Avoiding sink bottlenecks by implementing batch writes and addressing data skew with techniques like bucketing when ideal keys are not available. 3. Using `HybridSource` to combine heterogeneous data sources, such as real-time Kafka topics and archived cloud storage, into a single logical stream for ordered processing and improved backfill times.