Top Microservices Interview Questions and Answers in 2025 | Code Decode

In this video of code decode we have covered top interview questions and answers which can be asked in 2025

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Q) *What are some anti-patterns in microservices, and how do you avoid them?*

Microservices offer great benefits, such as *scalability, flexibility, and fault isolation**, but they can also **introduce complexity.* In the process of adopting a microservices architecture, it's crucial to be aware of common **anti-patterns**—problems that arise from poor design or improper implementation practices. Recognizing these anti-patterns can help avoid pitfalls and build a more maintainable, scalable, and performant system.

_In a distributed system, consistency is critical, and how we handle it depends on the needs of the business. _

_For high consistency, I might use solutions like Two-Phase Commit or 3PC ensuring that each service involved in a transaction either commits or rolls back in a coordinated manner. _

_However, in systems where we can afford eventual consistency, I tend to use event-driven architectures with tools like Apache Kafka and implement the SAGA pattern for long-running processes.

_I also ensure idempotency for APIs to avoid issues during retries and use conflict resolution techniques such as versioning and last-write-wins in cases of concurrent updates. Additionally, I rely on tools like Spring Cloud for managing microservice communication and integration, which helps in handling distributed transactions and service discovery efficiently.”



*Q) What are the challenges of implementing microservices, and how do you address them?*

Implementing microservices can offer numerous *benefits such as scalability, flexibility, and fault isolation,* but it also **presents several challenges**. Understanding and addressing these challenges early in the design and implementation process can help you avoid common pitfalls and ensure your microservices architecture operates effectively. Below are some of the key challenges of implementing microservices and ways to address them:






*Q) How do you handle data consistency across services in a distributed system?*



*1. Clarify the Consistency Requirements*
Start by explaining that data consistency in a distributed system depends on the use case. You can mention that there are different consistency models such as:

**Strong Consistency**: All clients see the same data at the same time, typically achieved through ACID transactions.
**Eventual Consistency**: Allows for temporary discrepancies between replicas, but ensures that all nodes / clients will eventually converge to the same value.
You could then mention that your approach to data consistency would depend on whether strong consistency or eventual consistency is more appropriate for the specific service or business requirements.




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