Microservices are now the foundation of software systems that are durable, scalable, and maintainable. If you're preparing for a backend, DevOps, or system design interview, being well-versed in microservices interview questions is essential. This page provides a handpicked collection of the most relevant microservices interview questions and answers to help you showcase both your conceptual understanding and practical experience.
Expect interviewers to dive deep into the principles and components of distributed systems. These interview questions about microservices architecture usually assess your understanding of:
Each of these topics reflects real-world challenges that engineers face when building or maintaining microservices-based systems.
For experienced candidates, advanced microservices interview questions often focus on scalability, observability, and operational complexity. You may be asked:
Our deck includes detailed microservices interview questions and answers with real-world insights, helping you explain not just what you’d do—but why you’d do it that way.
Whether you're preparing for entry-level or senior-level system design interviews, this collection of interview questions on microservices architecture will give you a clear advantage. Study these patterns, build your mental models, and walk into your next interview with confidence in your microservices expertise.
Showing 30 of 30 flashcards
Difficulty: HARD
Type: Other
Use patterns like Saga or two-phase commit; avoid global transactions and prefer compensating actions for eventual consistency.
Difficulty: EASY
Type: Other
Use health endpoints
Difficulty: EASY
Type: Other
Deploy additional service instances behind a load balancer and use auto-scaling based on metrics (CPU
Difficulty: EASY
Type: Other
Use mutual TLS
Difficulty: EASY
Type: Other
Use semantic versioning
Difficulty: MEDIUM
Type: Other
Deploy each service independently so that failures or updates in one do not impact others.
Difficulty: EASY
Type: Other
Services register themselves with a registry (e.g.
Difficulty: EASY
Type: Other
Propagate changes via events
Difficulty: EASY
Type: Other
Benefits: independent deployment
Difficulty: EASY
Type: Other
Use domain-driven design
Difficulty: EASY
Type: Other
Continuous Integration/Delivery pipelines automate building
Difficulty: EASY
Type: Other
Deploy new service version to a small subset of users or instances
Difficulty: EASY
Type: Other
A single entry point that routes requests to appropriate services
Difficulty: EASY
Type: Other
Services publish and subscribe to events (via message broker) to trigger actions
Difficulty: MEDIUM
Type: Other
Designing new changes so that existing clients continue to work without modification.
Difficulty: EASY
Type: Other
A service (e.g.
Difficulty: EASY
Type: Other
Aggregating logs from all services into a platform (e.g.
Difficulty: EASY
Type: Other
Automating deployment
Difficulty: EASY
Type: Other
The process of breaking a large application into smaller
Difficulty: EASY
Type: Other
Synchronous: direct request-response (e.g.
Difficulty: EASY
Type: Other
A sequence of local transactions across services
Difficulty: EASY
Type: Other
Isolates resources (e.g.
Difficulty: EASY
Type: Other
Prevents cascading failures by short-circuiting calls to failing services and allowing fallback or retries after a timeout.
Difficulty: EASY
Type: Other
Microservices break a system into small
Difficulty: EASY
Type: Other
Deploy a helper container alongside the main service container to provide features like proxy
Difficulty: EASY
Type: Other
Gradually replace parts of the monolith with microservices
Difficulty: MEDIUM
Type: Other
Controlling the rate of incoming requests per client or service to prevent overload and ensure fair usage.
Difficulty: EASY
Type: Other
Containers (e.g.
Difficulty: EASY
Type: Other
For decoupling
Difficulty: MEDIUM
Type: Other
Tracks requests across service boundaries (using tools like Jaeger) to identify performance bottlenecks and failures.
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