Suggested Certification for DevOps Engineer

Docker Certified Associate (DCA), Certified Kubernetes Administrator (CKA), Certified Kubernetes Application Developer (CKAD), AWS Certified DevOps Engineer, Azure DevOps Solution Certification, Puppet Professional Certification
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Interview Questions and Answers

Common Git commands include `git clone`, `git add`, `git commit`, `git push`, `git pull`, `git branch`, `git merge`, and `git checkout`.

A DevOps engineer is responsible for bridging the gap between development and operations teams, automating processes, and ensuring the smooth and efficient delivery of software. Their responsibilities can vary widely depending on the organization.

Important skills include knowledge of scripting languages (e.g., Python, Bash), cloud platforms (e.g., AWS, Azure, GCP), containerization technologies (e.g., Docker, Kubernetes), CI/CD pipelines, infrastructure as code (IaC), configuration management, monitoring tools, and strong communication and collaboration skills.

Monitoring in DevOps involves collecting and analyzing data about the performance and health of applications, infrastructure, and systems. This helps identify issues, troubleshoot problems, and optimize performance.

Common monitoring tools include Prometheus, Grafana, Nagios, Datadog, and New Relic.

A version control system (VCS) is a system that records changes to a file or set of files over time so that you can recall specific versions later. It allows multiple developers to collaborate on the same codebase without overwriting each others changes.

Git is a distributed version control system for tracking changes in source code during software development. It is designed for coordinating work among programmers, but it can be used to track changes in any set of files.

A container is a standardized unit of software that packages up code and all its dependencies so the application runs quickly and reliably from one computing environment to another.

Docker is a platform for developing, shipping, and running applications using containerization. It allows you to package an application with all of its dependencies into a standardized unit for software development.

Kubernetes is an open-source container orchestration system for automating application deployment, scaling, and management.

Docker is a containerization platform used to create and run containers. Kubernetes is a container orchestration system used to manage and scale containerized applications across a cluster of machines.

A microservice is an architectural approach that structures an application as a collection of loosely coupled services, which implement business capabilities. The microservice architecture enables the continuous delivery/deployment of large, complex applications.

Key principles include collaboration, automation, continuous integration, continuous delivery (CI/CD), monitoring, and infrastructure as code (IaC).

CI/CD stands for Continuous Integration and Continuous Delivery/Deployment. Its a practice of automating the build, test, and deployment phases of software development to enable faster and more reliable releases.

Continuous Delivery means that code changes are automatically built, tested, and prepared for release to production. A human decision is required to trigger the actual deployment. Continuous Deployment goes a step further and automatically deploys code changes to production without human intervention after successful testing.

Infrastructure as Code (IaC) is the practice of managing and provisioning infrastructure through code, rather than through manual processes. This allows for version control, automation, and repeatability.

Common IaC tools include Terraform, Ansible, Chef, Puppet, and AWS CloudFormation.

Configuration Management is the process of managing and maintaining the configuration of software and hardware systems to ensure consistency and reliability.

Popular configuration management tools include Ansible, Chef, Puppet, and SaltStack.

DevOps is a set of practices that combines software development (Dev) and IT operations (Ops) to shorten the systems development life cycle and provide continuous delivery with high software quality.

The most important of skills are-Experience with infrastructure automation tools such as Jenkins, Chef, Puppet, Ansible, SaltStack or Windows PowerShell DSC; Proficiency in web languages such as Ruby, Python, PHP or Java.

Explain how DevOps is a value-added practice, and why development and operation engineers join hands throughout the product or service lifecycle, from the design stage to the point of deployment.

Planning-This phase involves understanding the project properly; Development-Here the project gets built by designing infrastructure, writing code, defining test cases; Continuous Integration-This phase automates the mechanism of validation, and testing;

DevOps vs Agile, Agility in both Development and Operations-Agility in only Development; Involves processes-Involves practices; Timeliness and Quality have equal priority-Timeliness is the main priority; Smaller release cycles with immediate feedback-Smal

DevOps implementation has given provable results in businesses, with it's latest technology standards; developers can implement code faster than ever before, and with less errors and without interrupting services. DevOps fulfills all these requirements an

Step1 - An assessment of the existing process, and identify areas of improvement and create a road map for the implementation. Step2 - Once PoC is accepted and approved, the team can start on the actual implementation and roll-out project plan. Step3 - T

Generic logical flow, where everything is automated for fast and efficient delivery - Source code is managed by Version Control System tool like Git repository; Jenkins pulls this code from the repository using the Git plugin and build it using tools like

Continuous delivery VS Continuous deployment: Ensures code can be safely deployed on to production-Every change that passes the automated tests is automatically deployed to the production; Ensures the business applications and services work as expected-Ma

Explain with suitable examples and statistics.

When the pattern widely followed by others does not fit for your company and you continue to follow it blindly, you are actually following an anti-pattern.

DevOps is a process; Agile equals DevOps; We need a separate DevOps group; Devops will solve all our problems; DevOps means Developers Managing Production; DevOps is Development-driven release management; We cannot do DevOps.

Ensures that all services, applications and resources run properly on servers; monitors the status of servers and determines whether or not applications are working correctly; enables continuous audit, transaction inspection, and controlled monitoring.

Continuous integration of dev and testing increases the consistency of the product and reduces the time it takes to deliver it. This helps the dev team to quickly identify and find issues early because developers need to incorporate code into a shared rep

Maintain a code repository; Automate the build and self-testing; All commit's to the baseline every day and should be built; Testing in clone of the production environment; Makes it easy to get the latest deliverables; All can see the results of the lates

Continuous testing was originally introduced as a way of reducing waiting time for feedback to developers by incorporating development environment-triggered tests as well as more traditional developer/tester-driven tests.

Mean time to failure recovery; Deployment frequency; and Percentage of failed deployments.