microservices-patterns

Microservices patterns provide proven architectural approaches for service decomposition, communication strategies (REST, gRPC, message queues), and data consistency models that enable scalable, resilient distributed systems while reducing common design pitfalls.

Communication patterns cover both synchronous approaches like REST and gRPC for direct service calls and asynchronous strategies using message brokers for event-driven architectures, each suited to different consistency and latency requirements.

Data management patterns guide you through distributed data consistency approaches and the database-per-service model, addressing challenges of maintaining data integrity across independent services without centralized databases.

Service decomposition patterns specifically guide breaking down monolithic applications into smaller, independently deployable services, simplifying the adoption of microservices architecture and reducing migration complexity.

Security patterns enforce architectural practices through conformance with security guidelines, integration with security linters and SAST tools, and regular dependency updates within CI/CD pipelines to mitigate vulnerabilities across design, development, deployment, and operations.

Quick-start templates generate event-driven microservice scaffolding with message broker integration and basic service structure, enabling rapid prototyping while adhering to established architectural patterns for asynchronous communication.