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Zero-downtime monolith to microservices migration strategy

Detailed incremental migration plan from a monolithic application to microservices using the Strangler Fig pattern and backward compatibility techniques.

Execute an incremental, safe migration from monolith to microservices without interrupting production service, keeping the team productive during the transition and reducing risk at each step.

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Prompt objective

Execute an incremental, safe migration from monolith to microservices without interrupting production service, keeping the team productive during the transition and reducing risk at each step.

Real use case

A freelance marketplace has an 8-year-old Ruby on Rails monolith with 180,000 lines of code, 22 developers, and 3 releases per week. The team is blocked: any small change breaks unrelated functionality. The CTO wants to migrate to microservices without stopping the product or downsizing the team during the transition.

Customize these fields first

PROJECT NAMELANGUAGE + FRAMEWORK + DATABASELINES OF CODE / NUMBER OF DATABASE TABLESNUMBERDESCRIBE: coupling, build time, scalabilitySAME LANGUAGE / NEW LANGUAGEAWS/GCP/AZURE with KubernetesZERO DOWNTIME / MINIMUM AVAILABILITY OF X% / NONE

Replace the placeholders with your own context before you run the prompt. That usually improves the first output more than adding more instructions later.

Prompt

Create a Monolith to Microservices Migration Plan for:\\\\\\\\n\\\\\\\\nProject: [PROJECT NAME]\\\\\\\\nMonolith stack: [LANGUAGE + FRAMEWORK + DATABASE]\\\\\\\\nCode size: [LINES OF CODE / NUMBER OF DATABASE TABLES]\\\\\\\\nTeam: [NUMBER] developers in [NUMBER] squads\\\\\\\\nCurrent deployment frequency: [NUMBER] releases/week\\\\\\\\nMain monolith problems: [DESCRIBE: coupling, build time, scalability]\\\\\\\\nTarget stack (microservices): [SAME LANGUAGE / NEW LANGUAGE]\\\\\\\\nTarget infrastructure: [AWS/GCP/AZURE with Kubernetes]\\\\\\\\nConstraint: [ZERO DOWNTIME / MINIMUM AVAILABILITY OF X% / NONE]\\\\\\\\n\\\\\\\\n## PHASE 0 — PREPARATION (2-4 weeks before starting)\\\\\\\\n\\\\\\\\n**Why preparation is more important than the migration itself:**\\\\\\\\nSkipping preparation is the #1 cause of migration failure.\\\\\\\\n\\\\\\\\n**1) Monolith mapping:**\\\\\\\\n- Identify all modules and their responsibilities\\\\\\\\n- Map dependencies between modules (visualize with diagram)\\\\\\\\n- Identify which database parts are used by which modules\\\\\\\\n- Measure current test coverage (target: > 60% to begin)\\\\\\\\n- Identify the most unstable parts (most historical bugs)\\\\\\\\n\\\\\\\\n**2) Bounded Context definition (Domain-Driven Design):**\\\\\\\\n- Event Storming workshop with the team (4 hours)\\\\\\\\n- Identify business domains with clear boundaries\\\\\\\\n- Prioritize by: low coupling + business value + scale demands\\\\\\\\n- First microservice candidates: the most isolated, lowest risk\\\\\\\\n\\\\\\\\n**3) Base infrastructure (must exist before the first service):**\\\\\\\\n- Monolith containerization: Docker + working docker-compose\\\\\\\\n- CI/CD pipeline: automated tests + automated deployment\\\\\\\\n- Staging environment identical to production\\\\\\\\n- Basic observability: centralized logs + health metrics\\\\\\\\n- Service registry (if microservices need to discover each other)\\\\\\\\n\\\\\\\\n**4) API contract definition:**\\\\\\\\n- Does the monolith expose a REST/GraphQL API? Version it now\\\\\\\\n- Define event formats to be published\\\\\\\\n- Team agreement: no service accesses another service's database\\\\\\\\n\\\\\\\\n## PHASE 1 — FIRST MICROSERVICE (\\\\\\\\

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  1. 1Replace the key placeholders first: PROJECT NAME, LANGUAGE + FRAMEWORK + DATABASE, LINES OF CODE / NUMBER OF DATABASE TABLES, NUMBER.
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