Intermediate Topic 34 of 50 Software Engineering
Microservices
Systems composed of small independently deployable services.
How it works
Microservices architecture builds an application as a suite of small, independently deployable services, each owning a specific business capability and its data, and communicating over the network via HTTP APIs, gRPC or messaging. Teams can choose technology per service, deploy and scale services separately and isolate failures. It requires automation: CI/CD, containers, orchestration with Kubernetes, service discovery, observability and API gateways.
Step-by-step walkthrough
- Each service owns one capability and its data.
- The gateway routes client requests.
- Services call each other over the network.
- Each can be deployed and scaled alone.
- Cost: distributed failures, latency and operational complexity.
Where it is used
Large organizations such as Netflix and Amazon use microservices to let many teams work independently and scale parts of the system on demand.
Common pitfall
Distributed systems are hard: network latency, partial failures, data consistency across services and debugging across calls bring complexity. Poorly chosen boundaries produce a distributed monolith with tight coupling. Operational overhead is large. Use it when team size and scaling needs justify it, apply timeouts, retries and circuit breakers, and invest in tracing and monitoring.
Where it fits in the course
Microservices is topic 34 of 50 in Software Engineering, rated Intermediate. It follows Domain-Driven Design. The next topic is Monolith vs Microservices.
Practice and explore
- Open the interactive lesson, with a mini quiz.
- Take the Software Engineering quiz.
How to study this topic
- Read the explanation above and restate the definition in your own words.
- Open the interactive lesson and answer its mini quiz.
- Read the common pitfall, then write a short example that avoids it.
- Check your understanding in the Software Engineering quiz, and revisit the topic if you miss a question.
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Related topics
- Domain-Driven Design (Software Engineering)
- Monolith vs Microservices (Software Engineering)
- Clean Architecture (Software Engineering)
- Event-Driven Architecture (Software Engineering)