Microservices
Microservices are an architectural pattern in which an application is decomposed into small, self-contained services. Each service has a clearly defined responsibility, its own data store and communicates with other services via API interfaces. Unlike monolithic architectures, microservices can be developed, deployed and scaled independently.
Benefits of microservices
Independent Deployment : individual services can be updated without affecting others. Technology freedom: each service can be built with the language and Framework best suited to its task. Scalability: only the services experiencing high load are scaled. Fault isolation: a failing service does not bring down the entire application. Teams can work autonomously.
Challenges and complexity
Microservices are not a silver bullet. They significantly increase operational complexity: distributed systems require service discovery, load balancing, distributed logging and Monitoring . Network communication between services can introduce latency. Data consistency across service boundaries requires event-driven patterns. For small teams and simple applications, a well-structured monolith is often the better choice.
Microservices and container orchestration
Microservices are typically deployed as containers. Containerization with Docker packages each service with its dependencies; Kubernetes orchestrates deployment, scaling and networking. CI/CD pipelines automate the build, test and release of each service independently. A Reverse Proxy (Nginx, Traefik) routes incoming requests to the responsible services.
When are microservices worthwhile?
Microservices are suited for: large teams (5+ developers) working in parallel on different areas. Applications with significantly varying scaling requirements. Systems that are continuously developed and modularized over time. For most SME web projects, a modular monolith with clear Separation of Concerns is the more pragmatic approach.
How we use it
For SME web projects, we rely on modular Django monoliths with clearly separated apps: Authentication, Content, Media and Analytics. Each app has its own models, serializers and views – a structure that ensures Maintainability and enables later extraction. Microservices come into play only when a module requires its own scaling, e.g., a media processing service in Containerization with a dedicated worker pool and Redis queue.