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Engineering note

Monolith to Microservices: 5 Lessons from a Real Migration

Don't Start With the Hardest Part

Every migration guide tells you to identify bounded contexts first. That's right, but also misleading — in a working monolith, every domain is coupled to every other through the database. Start with the most isolated, lowest-risk service: in our case, the notification service.

The 5× Win Wasn't From Splitting

The throughput gain came from moving CPU-heavy processing (image analysis, report generation) to dedicated workers with proper queue depth management. The monolith was doing everything synchronously in the request path.

Event-Driven Beats REST for Internal Services

We started with REST between services. It made dependencies explicit but created tight coupling and cascade failures. Switching to event-driven communication (with explicit event contracts) decoupled teams as much as services.

The Hidden Cost: Distributed Debugging

Distributed tracing (we used correlation IDs + structured JSON logs) wasn't optional — it was the difference between 2 minutes to diagnose a bug vs 2 hours.

What I'd Do Differently

Run the monolith and microservices in parallel for 2 weeks minimum. Our 3-day overlap was too short to catch edge cases that only appear in production traffic.