Top 25 Distributed Systems Interview Questions for Experienced Developers

Top 25 Distributed Systems Interview Questions for Experienced Developers Work through these 15 questions out loud. Open any question for the full model answer, the trap to avoid, and the follow-up a panel usually asks.

  1. When and why use CQRS (Command Query Responsibility Segregation)?

    E-commerce: write Order aggregate to PostgreSQL; project OrderSummaryView to Elasticsearch for search/filter dashboard. Accept projection lag. Not for simple User CRUD. Combine...

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  2. Load shedding and backpressure in microservices?

    Tomcat max queue + reject policy returns 503 with Retry-After. WebClient timeout + circuit breaker stops calling slow dependency. Kafka consumer pause partitions when...

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  3. 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...

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  4. 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...

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  5. 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...

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  6. 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....

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  7. 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...

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  8. 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 —...

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  9. 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...

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  10. 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...

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  11. 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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  12. 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...

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  13. 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() {...

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  14. 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...

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  15. What is the Backend-for-Frontend (BFF) pattern?

    Mobile BFF /mobile/home aggregates user profile + feed + notifications in one round trip. Web BFF different field selection. BFF handles OAuth BFF cookie pattern. Domain...

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