Building Scalable and Resilient Applications
An architectural style that structures an application as a collection of loosely coupled services.
Decentralized governance, automated deployment, intelligent endpoints, and language/technology diversity.
Improved scalability, independent deployments, fault isolation, and technology diversity.
Increased complexity, distributed debugging, eventual consistency, and operational overhead.
Suitable for complex applications, large teams, and scenarios requiring high scalability and resilience.
Organize services around business functions like 'Order Management' or 'Customer Profile'.
Align services with Domain-Driven Design (DDD) subdomains, creating bounded contexts.
Gradually migrate functionality from a monolithic application to new microservices.
Each microservice owns its database to ensure data isolation and independent scaling.
A single entry point for clients, routing requests to the appropriate microservices.
Request/response interactions using HTTP-based APIs. Simple, but can introduce dependencies.
Services communicate through message brokers (e.g., RabbitMQ, Kafka), enabling loose coupling.
Services publish events to notify other services of changes. Promotes scalability and decoupling.
Mechanisms to dynamically locate and access microservice instances (e.g., Consul, Eureka).
Combining data from multiple microservices to provide a unified API to clients.
Package microservices and their dependencies into containers for consistent deployments.
Automate deployment, scaling, and management of containerized microservices.
Automated pipelines to build, test, and deploy microservices rapidly and reliably.
Infrastructure layer for managing service-to-service communication, security, and observability.
Implement comprehensive monitoring and logging to track microservice health and performance.
Align microservices with business domains and bounded contexts for a clear architecture.
Design well-defined and versioned APIs for inter-service communication.
Implement robust security measures, including authentication, authorization, and encryption.
Design for failure with techniques like circuit breakers, retries, and bulkheads.
Empower development teams to own their services and make independent decisions.
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