Course Objective & Scope
Microservices built along the wrong boundaries turn into a distributed monolith. Independent of language and framework, this programme addresses at the architectural decision level when to move to microservices and how to decompose services.
It covers defining service boundaries with bounded contexts, database-per-service and data consistency, synchronous/asynchronous communication, API gateway and BFF, circuit breaker, retry and timeout patterns, deployment with containers and Kubernetes, and observability with a service mesh and OpenTelemetry. Participants draft a decomposition map and a strangler-fig-based migration plan for their own systems.
Who Should Attend?
- Software and solution architects
- Tech leads deciding on a move to microservices
- Senior backend developers
- DevOps and platform engineers
Key Takeaways
- Assess the cost of microservices and the modular monolith alternative
- Justify service boundaries using bounded contexts
- Use sagas and the outbox pattern for cross-service data consistency
- Achieve resilience with circuit breakers, bulkheads and timeouts
- Establish end-to-end traceability with logs, metrics and traces
Curriculum
When and Why Microservices?
- Comparing monolith, modular monolith and microservices
- Organisational structure and Conway's law
Service Boundaries and Data Ownership
- Decomposition with bounded contexts
- Database-per-service and shared data problems
- Consistency with sagas and the outbox pattern
Communication and API Gateway
- Choosing between REST, gRPC and messaging
- API gateway, BFF and service discovery
Resilience Patterns
- Timeout, retry, circuit breaker, bulkhead
- Graceful degradation and fallbacks
Deployment and Platform
- Containers, Kubernetes and Helm
- Service mesh (Istio, Linkerd) fundamentals
- CI/CD for independent deployment
Observability and Migration Strategy
- Logs, metrics and traces with OpenTelemetry
- Incremental migration from a monolith with the strangler fig
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