In this episode, dive into five essential microservices best practices straight from Datamatics: prioritize infrastructure isolation for efficient performance and fault tolerance; adopt independent release trains to enable agile deployment; keep services small and focused (unit-sized) to adhere to the single responsibility principle; ensure each microservice has its own siloed data store for decoupling and resilience; and architect through containerization and orchestration (e.g., Docker + Kubernetes) to support scalability and consistency—all designed to promote modularity, scalable deployments, and operational excellence in distributed architectures

https://blog.datamatics.com/5-pivotal-microservices-best-practices-for-2022