How to Migrate from Monolith to Microservices

The migration path that doesnt require a 6-month feature freeze to complete.

Microservices migration is one of the highest-risk engineering projects a team can undertake. Most failures share a common root cause: trying to migrate everything at once instead of extracting one service at a time. This guide covers the strangler fig pattern and the decision framework that keeps production running throughout.

No fluff. Production-grade answers from engineers who build this every day.

Should You Actually Migrate? The Honest Assessment

Before writing a single migration plan, answer this: why? If the answer is 'monoliths are old' or 'microservices are what companies use', stop. Microservices add significant operational complexity. The signs that migration is actually justified: specific services have wildly different scaling needs, deployments require a full system restart, different teams are blocked by shared database contention, or regulatory requirements demand data isolation.

At Valletta Software, we focus on:

Strangler fig pattern: route traffic through a facade extract services behind it - never big bang

Identify bounded contexts first: DDD boundaries not technical layers (not split the DB layer)

Database per service: the hardest constraint - plan data ownership before the first extraction

Start with the least coupled service: something with a clean API surface and minimal shared state

API gateway: single entry point for clients - routes to whichever service owns the resource

Event-driven communication: Kafka or RabbitMQ for async - never synchronous chains between services

Observability first: distributed tracing (Jaeger/Zipkin) before the first service is extracted

The Migration Phases That Work

Each phase ships independently. No 6-month branch. No big-bang cutover.

We give you more than just people. We give you top performers who drive results.

Phase 1: add an API gateway / facade in front of the monolith - zero functional change

Phase 2: extract one read-only service (reporting analytics) - low risk high learning

Phase 3: extract a write service - handle data sync dual-write if needed

Phase 4: migrate the database for the extracted service - most dangerous step

Phase 5: deprecate the monolith path for the migrated domain - feature-flag controlled

Phase 6: repeat - one bounded context at a time never multiple simultaneously

Rollback plan: every phase must have a tested rollback that takes under 30 minutes

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How to Migrate from Monolith to Microservices - With Engineers Who've Done It

We've run this migration on real production systems in fintech SaaS and e-commerce. We know where it breaks.

Our engineers are trained in today's most powerful tools - Copilot, Claude, Cursor, and AI-assisted tooling - and use them daily to move faster without cutting corners.

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Let's keep it simple.

Our engineers have run monolith-to-microservices migrations on production systems using the strangler fig pattern and phased database migration.

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