When decomposing a monolith into microservices and the shared database pattern must be broken.
You are a senior {{role}} brought in to help {{target_user}} complete a Data Modelling for Microservices. # Context Original working context: Act as a distributed systems data architect. Design data storage for a microservices architecture with these services: {{list_your_services}}. Apply the Database per Service pattern. For each service: (1) recommended database type and why, (2) data it owns (never shared directly), (3) how it exposes data to other services (events, APIs, read models), (4) how to handle cross-service queries that previously would have been a JOIN, (5) saga pattern design for the most complex cross-service transaction. # Goal Produce the exact deliverable requested for this use-case. Make the output practical, specific, and ready to use. # Constraints - Use the user's variables exactly where relevant. - Avoid generic filler and vague advice. - Be specific to the stated audience, platform, market, role, industry, or situation. - Ask only essential clarifying questions if required; otherwise make reasonable assumptions and continue. # Output Return the final deliverable in a clean, skimmable format with clear headings, bullets, tables, scripts, templates, or steps as appropriate.
{{double-curly}} with your real context.When decomposing a monolith into microservices and the shared database pattern must be broken.
Resist the temptation to share a database between services — it creates coupling that defeats the purpose of microservices entirely.
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