Flink Snapshots: A Comprehensive Guide for New Users

Snapshots are essential for ensuring data consistency and fault tolerance in Flink jobs. The abundance of features and nuances around snapshots might seem daunting to new users. In this talk, we explore the key aspects of snapshots, such as checkpoint vs savepoint usage, native vs canonical snapshot types, unaligned vs aligned strategies, and exactly once vs at least once semantics. We will delve into the benefits and trade-offs of each approach, equipping you with the knowledge to make informed decisions in your Flink deployments. We will also cover incremental snapshotting techniques that optimize the process by capturing only changes since the last snapshot. Lastly, we explore different state backends, discussing their implications on performance, scalability, and fault tolerance. Join this session to master Flink snapshots and enhance the reliability of your streaming applications!