Saga Pattern Explained — How Microservices Handle Transactions Without Losing Data

Last video we fixed @Transactional inside one service. But what happens when two microservices each write to their own database as part of one business action?

You can't use a single transaction. You can't use @Transactional across services. And if one step fails — your data is split across two databases in an inconsistent state.

This is the distributed transaction problem. And the Saga Pattern is how companies like Netflix, Uber, and Amazon solve it at scale.

What you'll understand by the end:
→ Why distributed transactions are fundamentally different
→ Choreography vs Orchestration Saga — when to use each
→ What compensating transactions actually are
→ The real failure modes and how Saga handles them

Chapters
00:00 — The problem @Transactional can't solve
01:41 — Why not @Transactional or Two Phase Commit
03:39 — The restaurant analogy — how Saga thinks
04:55 — Choreography Saga — services talk via events
05:55 — Orchestration Saga — one boss controls the flow
06:42 — Compensating transactions — the undo button
07:24 — Choreography vs Orchestration — which to pick
08:14 — What's the hidden risk inside Saga itself?

#gktechverse #java #springboot #springboottutorial