Skill Guide
API Integration is the programmatic connection and orchestration of disparate services via defined interfaces, while Microservices Architecture is a design pattern where an application is decomposed into small, independently deployable services, with APIs forming the communication backbone.
Scenario
Build two separate RESTful microservices: one for managing product details (name, description, price) and another for tracking inventory levels. The Product service must fetch current stock from the Inventory service when a product is queried.
Scenario
Refactor the e-commerce system: the Order service publishes an 'OrderCreated' event to a message broker (e.g., Kafka). Separate services for Payment, Fulfillment, and Notification consume the event to perform their tasks independently, reporting status back to a central Orchestrator service via another topic.
Scenario
You are the architect for a SaaS platform serving global customers. Design a system that handles cross-region traffic routing, enforces consistent security policies (JWT validation, rate limiting) at the edge, and manages internal service-to-service communication with mTLS, retries, and fine-grained traffic control.
OpenAPI defines the contract-first API design. Postman is used for development, testing, and automated contract testing. gRPC with Protobuf is used for high-performance, typed internal RPC communication.
Docker containerizes services for consistency. Kubernetes orchestrates container deployment, scaling, and networking. Infrastructure as Code (IaC) tools like Terraform automate the provisioning of the underlying cloud and networking resources (VPCs, Load Balancers).
Distributed tracing tools visualize request flow across services. Prometheus and Grafana provide monitoring dashboards and alerting on key metrics. Circuit breaker libraries prevent cascading failures by stopping calls to unresponsive downstream services.
DDD's Bounded Contexts help define correct microservice boundaries. Conway's Law states system design mirrors communication structure; align teams to services. The Two-Pizza Team rule suggests a service should be owned by a small, autonomous team.
Answer Strategy
Test for systematic debugging of a distributed system. Strategy: Start with the symptom (latency), drill into observability data, identify the bottleneck (e.g., a single slow service or network hop), and apply a targeted fix (caching, async audit logging, circuit breaker). Sample Answer: 'I'd first consult distributed tracing (e.g., Jaeger) to identify which service call is the bottleneck. If it's the synchronous Audit service, I'd make that call asynchronous by publishing an 'AuditEvent' to a queue, improving latency from O(slow) to O(fast). For the User service, I'd check database query plans and implement a read-through cache for user profiles. I'd also ensure timeouts and retries are correctly configured to fail fast.'
Answer Strategy
Tests understanding of architectural trade-offs and real-world experience. The answer should cover consistency, coupling, failure handling, and performance. Sample Answer: 'In a payment processing system, the Order service needed to trigger a charge. I chose an asynchronous message queue (Kafka) because: 1) It provided guaranteed delivery and retry semantics critical for financial transactions. 2) It decoupled the services, allowing the Payment service to be scaled independently during peak loads. 3) It enabled an audit trail. The trade-off was eventual consistency; we implemented a 'PaymentStatus' field in the Order to track the outcome. For a simple user profile lookup, we used synchronous gRPC for low-latency, request-response semantics.'
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