Questions Topics
- 1.
What is DevOps?
- 2.
What are the key benefits of adopting DevOps?
- 3.
What is Continuous Integration (CI)?
- 4.
What is Continuous Delivery (CD)?
- 5.
What is the difference between Continuous Delivery and Continuous Deployment?
- 6.
What tools are commonly used for CI/CD?
- 7.
What is Infrastructure as Code (IaC)?
- 8.
What is Docker, and why is it used?
- 9.
What is Kubernetes?
- 10.
What is a microservices architecture?
- 11.
What is a deployment pipeline?
- 12.
How is security implemented in a DevOps environment?
- 13.
What is configuration management?
- 14.
What are the best practices for implementing DevOps?
- 15.
What is a load balancer?
- 16.
What is monitoring, and why is it important?
- 17.
How do you handle secrets and sensitive data in DevOps?
- 18.
What is a rollback, and when is it used?
- 19.
What is a service mesh?
- 20.
What is blue-green deployment?
- 21.
What are canary releases?
- 22.
What are artifacts in DevOps?
- 23.
What is a monolithic architecture vs microservices?
- 24.
What is serverless architecture?
- 25.
What are common DevOps tools and their uses?
- 26.
What metrics define DevOps success?
- 27.
What is the 12-Factor App methodology?
- 28.
What is version control, and why is it important?
- 29.
What is DevSecOps?
- 30.
What are some common DevOps practices?
DevOps Interview Questions
Preparing for a DevOps interview? Explore 30 essential DevOps interview questions and answers designed to help you showcase your understanding of CI/CD, containers, infrastructure as code, and automation.
Top DevOps Interview Questions & Answers
- DevOps is a combination of software development (Dev) and IT operations (Ops).
- It aims to shorten the software development lifecycle and deliver high-quality software continuously through automation, collaboration, and monitoring.
- Faster software delivery and time-to-market.
- Improved collaboration between development and operations teams.
- Increased deployment frequency and reduced failure rates.
- Enhanced quality through automation and continuous testing.
Continuous Integration is the practice where developers frequently merge their code changes into a shared repository, followed by automated builds and tests to detect issues early.
Continuous Delivery ensures that code changes are automatically built, tested, and prepared for production deployment with minimal manual intervention.
- Continuous Delivery prepares software for production release — deployment is a manual decision.
- Continuous Deployment automatically pushes every change that passes automated tests directly to production.
Jenkins, GitLab CI/CD, CircleCI, Travis CI, Azure DevOps, and GitHub Actions are popular CI/CD tools.
- IaC is managing and provisioning infrastructure using code instead of manual processes.
- Popular tools include Terraform, AWS CloudFormation, and Ansible.
Docker is a containerization platform that packages applications and dependencies together, ensuring consistency across environments.
Kubernetes is an open-source platform for automating the deployment, scaling, and management of containerized applications.
Microservices architecture structures an application as a collection of small, loosely coupled services that communicate via APIs, improving scalability and agility.
A deployment pipeline automates the movement of code through build, test, and deploy stages to ensure high-quality, reliable software releases.
By integrating security practices early (DevSecOps), automating security scans, and ensuring regular vulnerability assessments.
Configuration management maintains consistency of software and systems using tools like Ansible, Puppet, and Chef.
- Foster collaboration between teams.
- Automate testing, deployment, and monitoring.
- Implement version control for everything.
- Adopt continuous feedback and improvement loops.
A load balancer distributes incoming network traffic across multiple servers to ensure reliability and high availability.
- Monitoring tracks system performance and application health in real-time to detect issues early.
- Tools include Prometheus, Grafana, ELK Stack, and Nagios.
Use secret management tools such as HashiCorp Vault, AWS Secrets Manager, or Azure Key Vault instead of storing secrets in code.
A rollback reverts an application to a previous stable version in case of failure during deployment, minimizing downtime.
A service mesh manages service-to-service communication in microservices architectures, offering observability, traffic control, and security. Examples include Istio and Linkerd.
- Blue-green deployment uses two identical environments — one live (blue) and one idle (green).
- New releases go to the idle environment, ensuring zero downtime during deployment.
A canary release deploys a new version to a small subset of users first to monitor performance before a full rollout.
Artifacts are build outputs like binaries, Docker images, or configuration files, used for version tracking and deployment.
- Monolithic: Single, unified codebase for the whole app.
- Microservices: Independent modules communicating via APIs for flexibility and scalability.
Serverless computing allows code to run without managing servers — e.g., AWS Lambda, Azure Functions — scaling automatically based on usage.
- Version Control: Git, GitHub
- CI/CD: Jenkins, GitLab CI
- Configuration Management: Ansible, Puppet
- Monitoring: Grafana, Prometheus
- Containerization: Docker, Kubernetes
- Deployment frequency
- Lead time for changes
- Mean time to recovery (MTTR)
- Change failure rate
A set of best practices for building scalable, maintainable, and cloud-ready web applications.
- Version control tracks and manages code changes.
- It enables collaboration, rollback, and code history management using systems like Git.
DevSecOps integrates security practices within the DevOps process to ensure security is continuous and automated across all stages of development.
- Version control with Git
- Continuous Integration/Delivery (CI/CD)
- Infrastructure as Code (IaC)
- Automated testing
- Monitoring and logging
- Security integration (DevSecOps)
