Microservices Architecture Patterns Pitfalls and Practices
Microservices Architecture Patterns Pitfalls and Practices Microservices promise faster delivery and better scalability, but they also introduce new failure modes. With multiple teams, services, and data stores, you need patterns that reduce risk while keeping speed. The right patterns help teams evolve independently without breaking the whole system. Common pitfalls Tight coupling through shared data models or API contracts Siloed data ownership that leads to inconsistency Distributed transactions and saga confusion Excessive synchronous calls that add latency Missing observability and hard-to-debug failures Weak versioning and insecure secret management Practical patterns and practices Communication Prefer asynchronous events or message queues to decouple services. Gate external access through an API gateway or service mesh with clear contracts and versioning. Avoid leaking internal APIs and keep service boundaries clean. ...