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Microservice architecture is a software development approach that structures an application as a collection of small, autonomous services. Each service is designed to perform a specific business function and can be developed, deployed, and scaled independently.
You Should Know:
1. Distributed Transactions
Managing transactions across multiple services is complex. Use:
- Saga Pattern: A sequence of local transactions where each triggers the next.
- Two-Phase Commit (2PC): A protocol ensuring atomicity across services.
Example (Saga Pattern – Event Choreography):
def order_saga(order_id): try: inventory_service.reserve(order_id) payment_service.charge(order_id) shipping_service.schedule(order_id) except Exception as e: compensate(order_id) # Rollback logic
2. Inter-Service Communication
- Synchronous (REST/gRPC):
curl -X GET http://inventory-service/api/items
- Asynchronous (Kafka/RabbitMQ):
kafka-console-producer --topic orders --bootstrap-server localhost:9092
3. Design Patterns
- API Gateway (NGINX/Kong):
location /api/orders { proxy_pass http://order-service; } - Circuit Breaker (Resilience4j/Netflix Hystrix):
@CircuitBreaker(name = "inventoryService", fallbackMethod = "fallback") public String checkInventory() { ... }
4. Deployment & DevOps
- Docker & Kubernetes:
docker build -t order-service . kubectl apply -f order-deployment.yaml
- CI/CD (Jenkins/GitHub Actions):
jobs: deploy: runs-on: ubuntu-latest steps: </li> <li>uses: actions/checkout@v2 </li> <li>run: kubectl apply -f k8s/
5. RESTful API Best Practices
- Versioning:
curl -X GET http://api.example.com/v1/orders
- Rate Limiting (NGINX):
limit_req_zone $binary_remote_addr zone=api_limit:10m rate=10r/s;
6. Service Discovery (Consul/Eureka)
- Register a Service:
curl -X PUT http://consul:8500/v1/agent/service/register -d @service.json
7. Scaling & Availability
- Horizontal Scaling (Kubernetes):
kubectl scale deployment order-service --replicas=5
- Load Balancing:
upstream order-service { server order1:8080; server order2:8080; }
What Undercode Say:
Microservices offer flexibility but require robust DevOps, monitoring (Prometheus/Grafana), and fault tolerance. Key takeaways:
– Use Saga for transactions, Kafka for async messaging.
– Kubernetes simplifies orchestration.
– API Gateways centralize security (JWT/OAuth).
– Always version APIs to avoid breaking changes.
Expected Output:
A scalable, resilient microservice system with automated CI/CD, observability, and decentralized data management.
Relevant URLs:
References:
Reported By: Nirav Mungara – Hackers Feeds
Extra Hub: Undercode MoN
Basic Verification: Pass ✅



