4 Patterns for Microservices Architecture in Couchbase

Microservices are small, autonomous services that work together over a distributed network, each with its own specific function and business boundary. This architecture provides flexibility compared to traditional monolithic applications but requires resilience, scalability, and persistence in each individual service. Microservices collaborate through APIs, allowing for reuse across multiple applications and great flexibility. Building resilient and scalable services is crucial, especially when data needs to be persisted, where a resilient database architecture that scales together with the microservice is needed. Couchbase provides low latency, resilience, and scalability for the data layer, offering integrated caching, elastic scalability, and multidimensional scaling. It guarantees high availability by maintaining replica copies of data, fails over automatically in case of node failure, and supports loose coupling through isolated data containers such as scopes and collections. These features allow for multiple patterns of microservices, including dedicated clusters, isolation using buckets or collections, and containerized deployments managed through Kubernetes.

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