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Explore the top 36 interview questions on microservices, covering key concepts, features, and principles. Ideal for both beginners and experienced developers.

Akash Nagpal
January 11, 2026
Since the tech boom 2015, microservices have emerged as a revolutionary architectural approach, transforming how applications are designed, developed, and deployed. A survey by Statista shows that in 2021, 45 percent of respondents stated that data analytics/business intelligence applications use microservices.

Several reasons will make Microservices the perfect domain if you are considering switching technology or learning something new. Let’s discuss the top 36 Microservices Interview Questions asked to both freshers and experienced developers in different interviews.
Discover the essential microservices interview questions to boost your preparation for upcoming job interviews. Covering a range of topics from fundamentals to complex scenarios, equip yourself with the knowledge needed to excel in your next interview with ease.
Microservices architecture breaks an application into smaller, self-contained services, each responsible for a particular aspect of functionality. These services communicate using well-defined APIs (Application Programming Interfaces) or messaging protocols. Although standardization inside an organization is possible, each service is often launched individually, frequently using its own technological stack or programming language.
The main features of the microservice architecture are:
Microservices architecture offers plenty of pros. Here are a few of them:
The primary elements of Microservices or Microservices architecture encompass:
Microservice Architecture consists of the following components:

Consider checking out our blog on Microservices Design Principles.
The mechanism of a Microservice architecture involves breaking down an application into several modules, each capable of independently executing specific tasks.
Here’s an overview of how the Microservice architecture operates:

Monolithic architecture refers to a traditional software development approach in which an entire application is built as a unified unit. In a monolithic architecture, all the components and functionalities of the application, such as user interface, business logic, and data access, are tightly integrated into a single codebase and deployed as a single executable package.
Monolithic Architecture involves developing applications as a single, tightly integrated unit, limiting scalability and flexibility. In contrast, Microservices Architecture breaks down applications into smaller, independent services, offering enhanced scalability, flexibility, and ease of maintenance. Let’s have a look at the key differences between the Monolithic vs Microservices Architectures:
| Aspects | Monolithic Architecture | Microservices Architecture |
|---|---|---|
| Code Structure | Single large codebase | Multiple smaller services |
| Deployment | All components deployed together | Individual service deployment |
| Scaling | The whole application needs to be scaled | Individual services can be scaled |
| Development | Sequential and centralised | Parallel and decentralised |
| Memory Management | Memory allocated to the whole app | Efficient memory usage per service |
| Flexibility and Technology Stack | Limited technology stack and updates | Mixed technology stack and updates |
| Testing | Comprehensive and time-consuming | Microservices testing is time-consuming due to focused testing on specific services.. |
Common deployment strategies in the domain of microservices include:
Spring Cloud is a key player in the Microservices architecture. It’s a framework that facilitates applications’ rapid construction and integration with external systems. It provides tools for discovering, routing, and deploying microservices within a cloud environment. This makes managing and scaling your microservices architecture a more streamlined process.

For typical use cases, Spring Cloud provides some out-of-the-box experience and a set of extensive features mentioned below:
Spring Boot is an open-source Java-based framework that simplifies setting up and developing robust, production-grade applications. It is beneficial for creating microservices, as it provides a fast way to set up applications, reducing development and unit testing time.
It’s also compatible with other Java frameworks and offers features like auto-configuration, REST API support, and embedded servers2.
Here are some of the key features of Spring Boot:
We can override a spring boot project’s default properties by specifying the properties in application.properties.
For example – In Spring MVC applications, we’ll have to specify the suffix and prefix. This can be done by entering the properties mentioned below in application.properties.
For suffix – spring.mvc.view.suffix: .jspFor prefix – spring.mvc.view.prefix: /WEB-INF/
In Spring Boot, the Actuator is a set of production-ready management and monitoring endpoints that provide various insights into the application’s internals. It offers various built-in HTTP endpoints and metrics that can be used for monitoring, health checks, auditing, and managing your application. The Actuator provides essential information about the application’s health, metrics, environment, configuration, and more, facilitating easier administration and troubleshooting.
Whenever you are creating a Java Application, deployment can be done by two methods:
Spring Boot contains Jetty, Tomcat, and Undertow servers, all of which are embedded:
Implementing Spring Security in a Spring Boot application involves 3 steps – configuring security settings, authentication, and authorization.
Step-1 Adding Spring Security Dependency:
Include the Spring Security dependency in the project’s pom.xml (Maven) or build.gradle (Gradle) file. To get started with Spring Security, add the following dependency to your Spring Boot project’s build file (Maven or Gradle):
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-security</artifactId>
</dependency>
Note: After adding the above dependency, Spring Boot will automatically configure Spring Security with default settings.
Step-2 Creating Security Configuration
Create a security configuration class by extending WebSecurityConfigurerAdapter and override its configure method to define security rules, authentication, and authorization configurations.
import org.springframework.context.annotation.Configuration;
import org.springframework.security.config.annotation.web.configuration.EnableWebSecurity;
import org.springframework.security.config.annotation.web.configuration.WebSecurityConfigurerAdapter;
@Configuration
@EnableWebSecurity
public class SecurityConfig extends WebSecurityConfigurerAdapter {
@Override
protected void configure(HttpSecurity http) throws Exception {
http
.authorizeRequests()
.antMatchers("/public/**").permitAll()
.anyRequest().authenticated()
.and()
.formLogin()
.loginPage("/login")
.permitAll()
.and()
.logout()
.logoutUrl("/logout")
.permitAll();
}
}
Step-3 Defining Authentication Providers:
Configure authentication by specifying user credentials or integrating with authentication providers like databases, LDAP, OAuth, etc., based on the application’s requirements.
Code Example (In-memory Authentication):
import org.springframework.context.annotation.Configuration;
import org.springframework.security.config.annotation.authentication.builders.AuthenticationManagerBuilder;
import org.springframework.security.config.annotation.web.configuration.EnableWebSecurity;
import org.springframework.security.config.annotation.web.configuration.WebSecurityConfigurerAdapter;
@Configuration
@EnableWebSecurity
public class SecurityConfig extends WebSecurityConfigurerAdapter {
@Override
protected void configure(AuthenticationManagerBuilder auth) throws Exception {
auth
.inMemoryAuthentication()
.withUser("user")
.password("{noop}password")
.roles("USER");
}
}
End to End Testing(E2E) validates all the processes in the workflow to check if everything is working as expected. Regarding microservices, E2E testing validates the entire system’s functionality, including all interconnected microservices, databases, and external dependencies. It helps identify integration issues, dependencies, and inconsistencies that might not be apparent when testing individual microservices in isolation.
Note: Perform End-to-End Testing and validate the workflow on 3000+ real browsers and OS options! Try TestMu AI Now!
Semantic monitoring (a.k.a synthetic monitoring), is the practice of regularly running a portion of an automated test for an application on the live production system. These tests’ results are subsequently sent to a monitoring service, which flags an alert if it notices any anomalies.
Eureka is a service registry and discovery tool developed by Netflix, designed specifically for use in a microservices architecture. It is part of Netflix’s OSS (Open Source Software) stack and is used for managing and locating services in a dynamic, distributed environment.
Microservices are required to register themselves within the Eureka server, enabling the server to maintain a comprehensive record of all client applications operating across various ports and IP addresses.
Service discovery can be set up in several ways, and one efficient method is by using Netflix’s Eureka. This approach is not only straightforward but also lightweight, ensuring it doesn’t burden the application. Moreover, it’s compatible with a wide array of web applications.
Setting up Eureka involves two main steps:
Reports and dashboards are mainly used to monitor and upkeep microservices. Multiple tools help to serve this purpose. Reports and dashboards can be used to:
PACT is an open-source testing tool. It helps in testing the interactions between consumers and service providers. It offers support for numerous languages, such as Ruby, Java, Scala, .NET, JavaScript, and Swift/Objective-C.
It works through the following key principles:
Domain-driven design (DDD) refers to an approach that focuses on designing software systems by emphasizing a deep understanding of the business domain. It aims to align software development with the business domain’s complexities, enabling the creation of more effective and maintainable microservices-based architectures. The main focus remains on the core domain logic. Complex designs are detected based on the domain’s model.
The core fundamentals of DDD are:
Coupling and Cohesion are fundamental concepts in software architecture. Coupling refers to the degree of interdependence between software modules. For example, a lower coupling means that each component is independent and changes in one will not affect the others. On the other hand, Cohesion refers to how closely the responsibilities of a module or component are related to each other. For example, higher cohesion means that each module is responsible for a single task or function.
A well-designed application should aim for low coupling and high cohesion. Low coupling ensures that each service operates independently, minimizing the knowledge they need about each other. This independence makes the system more robust and easier to maintain. High cohesion means that all the related logic is kept within a single service, preventing unnecessary communication between services which could impact performance.
Open Authorization Protocol, otherwise known as OAuth, helps to access client applications using third-party protocols like Facebook, GitHub, etc via HTTP. You can also share resources between different sites without the requirement of key-value credentials.
OAuth allows the account information of the end user to be used by a third party like Facebook while keeping it secure (without using or exposing the user’s password). It acts more like an intermediary on the user’s behalf while providing a token to the server for accessing the required information.
Containers serve as valuable tools for resource allocation and sharing, often regarded as the most efficient and straightforward approach for independently managing microservices in the development and deployment phases. Containers enable resource-efficient operations, supporting multiple services on a single host. For example, Docker is used to encapsulate the microservice in the image of a container. Without any additional dependencies or effort, microservices can use these elements.
Accessing RESTful Microservices can be achieved through two primary methods:
Talking about the cons, here is another one of the microservices interview questions you may be ready for, which will be around the challenges faced while testing microservices.
Transitioning from a monolithic architecture to microservices can be complex, and several common mistakes might occur during this process:
This is probably one of the most frequently asked microservices interview questions. Here is what you need to keep in mind while answering it:
You can also check out our blog on Microservices Design Patterns.
WebMvcTest is used for unit testing Spring MVC applications. As the name suggests, it focuses entirely on Spring MVC components. For example, @WebMvcTest(value = ToTestController.class, secure = false): Here, the objective is to launch only ToTestController. Until the unit test has been executed, other mappings and controllers will not be launched.
In the context of Domain-Driven Design (DDD), a Bounded Context refers to a specific boundary within which a particular domain model is defined and applicable. DDD works with large models by disintegrating them into multiple bounded contexts. While it does that, it also explains the relationship between them explicitly. It represents a cohesive area or segment of a larger business domain where a set of closely related terms, concepts, rules, and interactions exist and are consistent.
There are several types of Two-Factor Authentication(2FA) methods:
Client Certificate is a type of digital certificate usually used by client systems for making a request that is authenticated by a remote server. It plays an important role in authentication designs that are mutual and provide strong assurance of the identity of a requester. However, you should have a fully configured back-end service for authenticating your client certificate.
Spring Boot comes with added support for Log4J2, Java Util Logging, and Logback. It is usually pre-configured as console output. They can be configured by only specifying logging.level in the application.properties file.
logging.level.spring.framework = Debug
When it comes to security testing of microservices, it’s important to highlight that testing microservices as a whole might not be feasible due to their independent and decentralised nature. Each microservice operates as an individual component, which means that security testing needs to be performed on each service independently. There are three common approaches for security testing:
Idempotence characterizes an operation or function, ensuring that when performed repeatedly, it consistently produces the same outcome, irrespective of how many times it’s executed. Idempotence is mostly used as a data source or a remote service in a way that when it receives more than one instruction, it processes only one instruction. For example, when updating inventory levels after a purchase or processing payments, idempotence ensures that these operations remain consistent, preventing inaccuracies in inventory levels and maintaining accurate financial records.
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