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Interview Questions for Devops

Published On: January 7, 2025

DevOps Interview Questions and Answers

DevOps professionals are in high demand right now, and this demand is only likely to increase over the next several years. Here are the top 40 DevOps interview questions and answers to help you stand out from the crowd. Explore more with our DevOps course syllabus.

DevOps Engineer Interview Questions for Freshers

Here are the basic interview questions for DevOps engineers.

  1. What is DevOps?

DevOps is a collection of procedures that blends IT operations (Ops) and software development (Dev). It seeks to provide continuous delivery of high-quality software while reducing the systems development life cycle.

  1. What are the key principles of DevOps?

The key principles of DevOps are as follows:

Collaboration: Encouraging effective communication and cooperation between the operations and development teams.

Automation: The process of automating as many tasks as feasible, including infrastructure provisioning, testing, deployment, and construction.

Continuous Improvement: Constantly keeping an eye on procedures and refining them in response to input and data analysis.

Continuous Delivery/Deployment: Facilitating regular and dependable software releases.

Infrastructure as Code: By treating infrastructure as software, it is possible to define, provision, and manage it using code. 

  1. What are the benefits of implementing DevOps?

The benefits of implementing DevOps in companies are:

Faster time to market: Reduced time between development and deployment results in a quicker time to market.

Better software quality: Regular updates with fewer errors.

Enhanced effectiveness: Automation increases productivity and decreases manual labor.

Improved cooperation: Enhanced teamwork and communication amongst groups.

Improved customer satisfaction: New features and bug fixes are delivered more quickly. 

  1. What are the key tools used in DevOps?

The popular tools used in DevOps are:

  • Version Control: Git (GitHub, GitLab, Bitbucket)
  • Continuous Integration/Continuous Delivery (CI/CD): Jenkins, Azure DevOps, GitLab CI/CD
  • Containerization: Docker, Kubernetes
  • Infrastructure as Code: Terraform, Ansible, Puppet, Chef
  • Monitoring and Logging: Prometheus, Grafana, ELK Stack (Elasticsearch, Logstash, Kibana)
  • Cloud Computing: AWS, Azure, GCP
  1. Describe the concept of Continuous Integration (CI)

Software engineers commonly incorporate their code changes into a shared repository (such as Git) as part of the continuous integration (CI) process. An automated build and test procedure is initiated following every integration in order to promptly identify and resolve any integration problems. 

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  1. What is Continuous Delivery in DevOps?

By automatically deploying all code changes to a testing environment and, if successful, to a production environment after the required tests are completed, CD expands on continuous integration. This makes software releases dependable and quick.

  1. Explain Continuous Deployment in DevOps.

A more sophisticated version of CD is called continuous deployment, in which all changes that pass the automated test suite are automatically sent to the production environment.  

  1. What is Infrastructure as Code (IaC)?

IaC is the process of using code rather than human procedures to manage and provision infrastructure (servers, networks, and storage). This makes it possible to manage infrastructure in a consistent, repeatable, and effective manner.

  1. List some popular IaC tools.

Some of the popular and commonly used IaC tools are Terraform, Ansible, Puppet, Chef, CloudFormation.

  1. Explain a container in DevOps.

Code and all of its dependencies (libraries, frameworks, etc.) are packaged together in a container, which is a standardized software unit. This guarantees that the program functions uniformly in various settings.

  1. What is Docker in DevOps?

Docker is an open-source platform that facilitates the rapid development, testing, and deployment of applications by developers and DevOps teams.

DevOps benefits from Docker because it:

  • Encourages cooperation between groups working on a software life cycle.
  • Shortens the time needed to create and publish a solution
  • Permits a program to execute on any program, irrespective of host specifications.
  • Simplifies and manages modifications across the development cycle.  
  1. Explain Kubernetes in DevOps.

Many of the manual processes required in deploying, managing, and growing applications are automated by the open-source container orchestration platform Kubernetes. In DevOps, it’s a frequently used tool to:

  • Make development simpler: Establish a solid framework for CI/CD pipelines, centralized management, and self-service access procedures.
  • Bridge the gap between development and IT operations: Facilitate the easy transfer of software and its dependencies between various environments.
  • Accelerate procedures: Quicken the prototyping and release phases while maintaining scalability and dependability.  
  1. Explain DevOps culture.

DevOps culture is a method of working that prioritizes teamwork and communication while coordinating people, procedures, and tools to keep the consumer in mind. Multidisciplinary teams are in charge of the full product lifecycle in a DevOps culture.

  • Collaboration and communication: Teams collaborate more closely.
  • Shared responsibility: The products that development and operations teams produce and maintain are jointly their duty.
  • Customer focus: Teams coordinate their efforts to keep the client in mind.
  • Continuous integration (CI) and continuous delivery (CD): Changes to the code are automatically constructed, tested, and released.
  • Infrastructure as code (IaC) refers to the provisioning and management of infrastructure through the use of software development and code methodologies.
  • Monitoring and logging: Teams keep an eye on logs and metrics to determine how their product affects end users.  
  1. Explain the role of a DevOps engineer.

The purpose of a DevOps engineer is to increase teamwork and output by:

  • Automating critical procedures including infrastructure provisioning, software testing, release management, and performance tracking
  • Collaborating closely with the development organization to guarantee the efficient use of continuous integration and continuous delivery (CI/CD) tools
  • Overseeing and directing the work of various teams to develop and maintain a company’s software
  • Resolving problems like bugs, outages, or poor performance

CI/CD tool configuration and deployment are common skills of DevOps developers. To increase productivity, they frequently automate monotonous operations. 

Check out our cloud computing course syllabus.

  1. What are some common DevOps challenges?

Some of the common DevOps challenges are as follows:

  • Tool sprawl is the ability to efficiently manage and integrate a vast number of tools.
  • Skill gaps: Locating and keeping qualified DevOps specialists.
  • Change management: A company may need to make major organizational and cultural adjustments in order to implement DevOps practices.
  • Security: Making certain that the whole software delivery process is secure. 
  1. What is version control?

The practice of controlling modifications to documents, software, and other information collections is known as version control. It enables users to:

  • Keep track of file modifications, including additions, deletions, and replacements.
  • Remember previous iterations of the files
  • Integrate branch projects into the main project.
  • To correct errors, compare previous iterations of the code.
  • Avoid mistakes brought on by inconsistent data in several documents.

Git and other version control systems monitor code changes over time. This makes it possible for developers to experiment with multiple code branches without worrying about losing work, collaborate efficiently, and roll back to earlier iterations.

  1. How version control gets implemented in DevOps culture?

A key component of DevOps, version control facilitates collaboration and quick iterations on a project’s source code, helps software teams work more efficiently, decreases development time, and increases successful deployments.

Source control is another name for version control. It can be implemented using:

  • File naming conventions: Various file versions can be identified using suffixes such as *_v1, *v2, and *vn.
  • Version control software (VCS): It enables multiple users to collaborate on a project at once and records database changes.
  • Centralized version control systems (CVCS): The central repository, which can be on a server or a developer’s local computer, is used by all users.   
  1. What is Git?

Git is an open-source, free version control system (VCS) for tracking code changes and keeping track of changes. It is widely used by developers and is regarded as the current standard for software development.

The following are some of Git’s features:

  • Distributed: Because each developer has a local copy of the project history, they can work remotely or offline.
  • Branching: To work on their source code concurrently, developers can make copies of it, known as branches.
  • Merging: To produce a single history, changes from one branch can be incorporated into another.
  • Reversion: To reverse modifications, developers can go back to earlier iterations of the code.
  • Pull requests: Groups can examine each other’s code and work together on branches.
  • Performance: Git was created with speed in mind, particularly when it comes to branching, merging, committing changes, and comparing previous iterations.
  1. Define a Git repository.

A collection of files and their histories is called a Git repository. Either a local computer or a remote server (such as GitHub, GitLab, or Bitbucket) can host it. 

  1. What are some common Git commands?

Some of the most common Git commands are as follows:

  • git add: Add files to the staging area. 
  • git clone: Clone an existing repository.
  • git commit: Update the local repository with the modifications.
  • git push: Transfer modifications to a distant repository.
  • git pull: Retrieves and combines updates from a distant repository.
  • git merge: Combine changes from one branch into another. 
  • git branch: Create, list, or remove branches. 

Upgrade your skills with our Git training in Chennai.

DevOps Engineer Interview Questions and Answers for Experienced

Here are the DevOps engineer interview questions and answers for advanced level candidates:

  1. What is the build pipeline in DevOps?

In DevOps, a build pipeline is a collection of automated procedures and instruments that specify how software applications should be compiled, tested, and executed prior to release. 

  • A build pipeline aims to reduce manual intervention and mistake risk by streamlining the software development process.
  • The acts that define the build process are called stages, and they make up a build pipeline. 
  • You can create a group of tasks in a build pipeline, each of which completes a construction phase.  

Example: A build pipeline could have three stages: build, test, and deploy. 

  1. What is CI/CD pipeline?

Software development, testing, and deployment are streamlined by a set of automated processes known as a CI/CD pipeline:

  • Continuous Integration (CI): To detect problems early, developers regularly merge code changes into a shared repository.
  • Continuous Delivery: Code changes are integrated, tested, and delivered using continuous delivery (or CD), which does not immediately push updates into production.
  • Continuous Deployment: Delivers updates to the production environment automatically.

A crucial component of Agile and DevOps methodologies are CI/CD pipelines. Software teams can benefit from them:

  • Boost their code quality 
  • Produce software more quickly.
  • Decrease manual labor 
  • Boost output
  • Boost security
  • Boost the contentment of developers
  • Cut down on development expenses.
  1. What is the role of testing in DevOps?

DevOps, which combines development and operations with the goal of enhancing software quality, efficiency, and teamwork, includes testing as a fundamental component. 

  • Instead of testing at the end of the software development lifecycle, DevOps integrates testing at every stage. 
  • By using a continuous testing method, teams can find and address problems early on, thereby cutting down on development time and expense.  
  1. What is the role of monitoring in DevOps?

DevOps monitoring enables teams to promptly detect problems with their infrastructure and applications. In order to: Identify possible problems, minimize downtime, and minimize the impact on application performance, it enables teams to continuously monitor critical performance indicators and metrics in real-time. 

In DevOps, monitoring is crucial for: 

  • Identifying performance issues: Monitoring important metrics like CPU usage, memory consumption, and response times.
  • Detecting and resolving incidents: Promptly locating and fixing problems that affect the performance and availability of applications.
  • Capacity planning: Using past data to forecast future resource requirements.
  • Enhancing system performance: Finding opportunities for optimization through the analysis of monitoring data. 
  1. What are some popular monitoring tools for DevOps?

Several tools for DevOps monitoring include:

  • Prometheus: It is a time series database that gathers infrastructure and application measurements and can send out warnings when specific criteria are satisfied.
  • Splunk: A program that can build interactive visualizations, dashboards, and graphs while tracking machine-generated data
  • Nagios: It is a free, open-source program that tracks any device with an IP address and keeps an eye on servers, apps, and networks.
  • Datadog: It is a SaaS-based data analytics platform that connects with well-known DevOps tools like Docker and Slack and keeps an eye on servers, databases, tools, services, and apps.
  • Sensu: A tool that provides all-inclusive infrastructure and application monitoring solutions. 

Enroll in our Agile training in Chennai to learn more. 

  1. What is logging in DevOps?

In DevOps, logging is the practice of documenting and keeping track of how a system or application is operating. 

Log files, which may contain information such as error messages, performance metrics, and user activity, are where this data is recorded.

  1. What is the role of logging in DevOps?

Logging is crucial since it enables teams to:

  • Identify issues: Teams can swiftly determine the underlying source of issues with the aid of logs.
  • Boost performance: Teams can maximize performance by using logs, which offer insights into how apps are operating.
  • Improve user experience: Teams can better understand how users are impacted by modifications and new deployments by using improved user experience logs.
  • Meet compliance requirements: Organizations can comply with regulatory standards by using logs, which offer a comprehensive record of who accessed what data and when.
  • Analyze trends: Teams can identify patterns and trends, such recurring issues or subpar performance, with the use of logs.  
  1. Explain some best practices for logging.

The following are some best practices for DevOps logging:

  • Auto-clean logs: Only save what is necessary and have logs that aren’t needed automatically cleaned after a predetermined period of time to prevent disk space overload.
  • Use logging agents: Logging agents such as Fluentd, Fluent Bit, or Filebeat can be used to gather logs from every node in Kubernetes setups.
  • Implement log rotation and retention policies: These guidelines can assist in limiting the amount of disk space that log files take up.

One well-liked solution for log management and analysis in DevOps is the Elastic Stack, which consists of Elasticsearch, Logstash, and Kibana.  

  1. What are some popular logging tools?

Some of the popular logging tools for DevOps are ELK Stack, Splunk, and Graylog.

  1. What is microservices architecture?

A software development methodology known as microservices architecture divides programs into separate services that interact with one another via APIs.

  • Services: Every service is designed to manage a certain function or operation within the application.
  • Communication: Services use straightforward interfaces to communicate with one another.
  • Deployment: Individual services can be set up.
  • Maintenance: It is very easy to test and maintain services.
  • Ownership: Each service is owned by small teams. 
  1. What is the use of microservices?

Complex web applications frequently use the microservices design. It can facilitate speedier development and easier scaling of apps, which can aid in time-to-market and innovation.

Other features of microservices architecture include the following:

  • Containers: Under the same environment, every service is containerized separately.
  • Pattern language: A group of patterns that aid in decision-making during the architecture’s conception and evolution is known as the pattern language.
  • Observability: Reliable and adaptable microservices monitoring solutions can lower risks and identify failures early.

Though there are considerable distinctions between the two, microservices are frequently seen as a logical progression of service-oriented architecture (SOA).  

  1. How does DevOps relate to microservices?

Microservices and DevOps are complementary technologies that combine to produce cloud-based deployments and agile software applications:

  • Microservices: An application can be divided into smaller, independent services that can be deployed and operated independently using this software architecture. Development, testing, and deployment can go more quickly as a result.
  • DevOps is a collection of procedures that enhance the operations and culture of a company. DevOps can assist with security, cooperation, scale, speed, and dependability.  
  1. What are the benefits of Microservices and DevOps?

Some of the benefits of DevOps and microservices are as follows:

  • When combined, DevOps and microservices can benefit businesses in the following ways:
  • Boost productivity: By establishing similar vocabulary and procedures, a shared toolset can facilitate collaboration between operations and development teams.
  • Boost agility: DevOps and microservices can assist businesses in creating software that is more agile.
  • Boost operational effectiveness: Cloud-based apps can be deployed as stand-alone services by enterprises with the aid of DevOps and microservices.
  • Enhance customer experience: Businesses may revolutionize their software development, delivery, and customer experiences with the aid of DevOps and microservices.  
  1. How does DevOps leverage cloud computing?

Cloud computing is used by DevOps in a number of ways, such as:

  • Automation: By offering tools to automate manual operations, cloud computing helps DevOps meet its automation needs. This can reduce time to market, decrease errors, and increase process efficiency.
  • Scalability: Without compromising IT operations, cloud computing offers the resources required to grow or develop a company.
  • Agility: Cloud computing can help DevOps adopt an agile methodology for work operations.
  • Security: CloudSecOps (Cloud Security Operations) integrates cloud infrastructure, DevOps methodologies, and security measures. This makes it possible for DevOps, cloud, and security teams to collaborate on creating safe infrastructure and apps.
  • Collaboration: A collection of cloud-based solutions called DevOps as a Service enables cooperation between development and operations teams.
  • Innovation: Cloud-based platforms and tools can assist tech companies in creating innovative solutions like blockchain and artificial intelligence. 
  • Application management: DevOps may oversee extensive CI/CD pipelines by utilizing cloud storage applications.  

Enrich your skills with our cloud computing interview questions and answers

  1. What is DevOpsSec?

DevOps Security, also known as DevSecOps, is a collection of procedures, methods, and resources that combine software development (Dev), IT operations (Ops), and security (Sec) to improve an organization’s capacity to deliver services and applications quickly and safely.

  1. What are some key security considerations in DevOps?

Among the most important security factors in DevOps are:

  • Automation: Automation can lessen human error and assist in identifying threats and weaknesses.
  • Access controls: Attackers may be able to access DevOps infrastructure due to inadequate access controls or improperly handled secrets.
  • App Security: Software applications are shielded from external threats and internal weaknesses by application security.
  • Constant threat modeling: Update threat models frequently to account for modifications to the infrastructure, application, and threat environment.
  • Constant security monitoring: Constant monitoring can assist in detecting and reducing possible security threats.
  • Security as Code: Consider security policies and controls to be artifacts of programming.
  • Secure communication channels: To ensure that communication channels are secure, use protocols such as HTTPS.
  • Validate certificates: Verify certificates to make sure they are legitimate and issued by reliable organizations.
  • WAFs, or web application firewalls: Malicious online traffic can be filtered, tracked, and blocked with WAFs.  
  1. Explain Site Reliability Engineering (SRE)

The field of site reliability engineering (SRE) develops scalable and dependable software systems by applying software engineering concepts. 

Enhancing software system dependability in areas like availability, performance, latency, efficiency, capacity, incident response, change management, and monitoring is the responsibility of SRE teams.

SRE teams employ a range of instruments and procedures, such as:

  • Monitoring: SRE personnel gather vital data regarding system performance and display it in charts.
  • Infrastructure: To make sure systems function properly and adhere to reliability standards, SRE teams employ standardized tools.  
  • Toil elimination: SRE teams automate repetitive, manual, or useless tasks.
  • Error budgets: SRE teams accept risk and employ impartial methods of service management.
  • Release engineering: To make sure releases are reliable and don’t cause outages, SRE teams closely monitor them.
  1. How does SRE relate to DevOps?

DevOps and site reliability engineering (SRE) are two fields that seek to close the gap between development and operations teams in order to increase service quality and dependability.

  • Focus: DevOps concentrates on the application lifetime, whereas SRE concentrates on the delivery and production environment stability.
  • Role: SRE is a sophisticated DevOps position that blends systems administration and software engineering. SREs collaborate with operations and development, though not always in DevOps.
  • Goals: Understanding how to gauge success or failure and achieve continuous reliability across all applications is the goal of both SRE and DevOps.
  • Practices: SRE and DevOps may both help decrease IT time per application produced, increase service quality and dependability, and speed up service delivery.  
  • Tools: System management and application monitoring are two examples of IT infrastructure duties that SRE automates with software tools.

When developers are overburdened with operations chores, SRE can assist DevOps teams. SREs are able to:

  • Fix issues with workflow and communication.
  • Create solutions that strike a balance between the operations and development teams.
  • Assure the dependability, performance, and scalability of extensive cloud-based infrastructure and applications. 
  1. What is AIOPS?

Artificial intelligence for IT operations is what AIOps stands for. This platform automates IT operations through analytics and machine learning (ML).

AIOps automates IT operations processes by utilizing machine learning (ML) and artificial intelligence (AI). This covers duties including capacity planning, anomaly monitoring, and incident detection.

AIOps is able to:

  • Identify problems and take prompt action.
  • Determine the incident’s primary reason.
  • Assist teams in handling incoming notifications.
  • Eliminate redundant warnings.
  • Recognize erroneous positives.
  • Detect and analyze anomalies, faults, and failures (AFF) early. 
  1. What are the future trends in DevOps?
  • Increased AI/ML adoption: AIOps will keep gaining popularity.
  • Serverless computing: AWS Lambda and other serverless systems are becoming more and more popular.
  • Edge computing: lowering latency and increasing performance by processing data closer to the source.
  • DevSecOps: Persistent emphasis on incorporating security into the whole software delivery process.
  • Multi-cloud and hybrid cloud environments: Managing apps across several cloud providers is a feature of multi-cloud and hybrid cloud architectures. 

Upskill for a great career with our AWS DevOps job seeker program.

Conclusion

In order to remain competitive, businesses are spending more and more on technology. Faster software development cycles are necessary for this quick digital transition, and DevOps is an excellent tool for this. We hope these DevOps Interview Questions and Answers will help you gain expertise in basic to advanced concepts. Enhance your skills with our DevOps training in Chennai.

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