Evolving Stream Schemas in Flink: Hands‑On Playbook

In 2025, low‑latency data pipelines still live and die by how quickly they turn objects into bytes and back.

Every hand‑off between operators, every checkpoint, every RocksDB write — all of it touches serialization. My goal here is to show, in plain language and with fresh examples, how to keep that part of your Flink job both fast and resilient to change.

What you will learn:

• how Flink decides which serializer to pick;

• an easy trick to detect when your class sil…