Distributed Systems Interview Questions and Answers
Distributed Systems Interview Questions and Answers Work through these 12 questions out loud. Open any question for the full model answer, the trap to avoid, and the follow-up a panel usually asks.
Explain CAP theorem in the context of microservices.
When a network split isolates nodes, you cannot have both perfect consistency and every node answering. Example: order service during partition — either reject writes (CP) or...
How would you design a rate-limited REST API?
API gateway or filter applies token bucket per API key — Redis stores tokens with TTL. Exceeding limit returns 429 + Retry-After. Different tiers per plan. Log rejections for...
Explain microservices vs monolith trade-offs.
Start monolith until team or scale pain justifies split. Microservices enable independent deploy and tech diversity but add network failures, observability burden, and data...
Saga pattern — choreography vs orchestration?
Order saga: reserve inventory → charge payment → ship. Failure at payment triggers release inventory compensation. Orchestration clearer for complex flows with visibility....
Explain the transactional outbox pattern.
OrderService @Transactional saves Order and OutboxEvent(type=ORDER_CREATED, payload=json). OutboxProcessor @Scheduled polls FOR UPDATE SKIP LOCKED, sends to Kafka, updates...
When accept eventual consistency and how communicate it to clients?
Checkout returns 202 Accepted with orderId — poll or webhook when confirmed. Inventory display may lag seconds — show "approximate stock." Payment ledger uses strong...
Database sharding strategies for high-scale Java services?
Shard by tenant_id mod 32 — RoutingDataSource lookup. User-scoped queries single shard. Global admin reports from CQRS read replica or Elasticsearch. Plan shard key early —...
Kafka consumer groups, offsets, and delivery semantics?
@KafkaListener with AckMode.MANUAL — ack after DB save. Consumer group order-service scales to partition count max. Idempotency key in message header dedup table. Monitor...
A database connection pool is getting exhausted. How do you identify and solve it?
Enable `spring.datasource.hikari.leak-detection-threshold`. Watch `hikaricp.connections.active` and threads blocked waiting. Fix leaks with try-with-resources; avoid long...
How do you implement rate limiting for APIs?
Apply at API Gateway; in-app use Redis-backed limiter for cluster-wide counts. ```java @RateLimiter(name = "apiLimiter") @GetMapping("/users") public List<User> users() {...
What is circuit breaker pattern?
When payment service errors exceed 50% in 10s window, breaker opens — return fallback immediately for 30s. Half-open lets one request through to test recovery. Pair with...
What are idempotency keys and how implement them in REST APIs?
Client sends Idempotency-Key: uuid on POST /payments. Server Redis SETNX key, process, store response JSON. Retry with same key returns 201 + original body without double...
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