DevOps Tutorial (original) (raw)

**DevOps is a combination of two words: ****"Development"** and ****"Operations."** It’s a modern approach where software developers and software operations teams work together throughout the entire software life cycle, from planning and coding to testing, deploying, and monitoring.

The main idea of DevOps is to improve the software delivery process. We achieve this by software release automation, continuous monitoring/logging and testing. The goals of DevOps are:

Before DevOps, software delivery was slow and manual, often taking up to 10 days to move code from development to production. Separate teams handled coding, server setup, testing, and deployment, leading to delays and frequent errors due to lack of automation.

With DevOps, the process is fast, automated, and collaborative. Using tools like Git, Jenkins, Docker, and Kubernetes, teams can build, test, and deploy code continuously, enabling deployment in hours instead of days.

1. Understanding DevOps Fundamentals

In this section, we will cover the basic DevOps fundamentals and terminologies that are essential for a DevOps engineer. These concepts will help you build a clear understanding of DevOps and its core practices.

2. Linux for DevOps

Linux is one of the most widely used operating systems for servers and cloud environment, offering a powerful command-line interface, scripting environment, and strong security features. It is essential for learning DevOps, as most servers run on Linux operating system. Also, key tools like Docker, Kubernetes, Jenkins, and Ansible are built to work best in Linux environments.

This section introduces the core Linux concepts, commands, and networking essentials every DevOps engineer should know.

Learn Linux in Advance with our: Linux Tutorial

3. Source Code Management

Source Code Management is one of the key aspects of DevOps. It is the practice of tracking and managing the versions of your source code. Git is considered to be one of the best tools for version control of source codes.

In this section on Source Code Management, we’ll explore the fundamentals of version control using tools like Git, GitHub, GitLab, and Bitbucket. From installing Git and understanding how it works to using essential commands, managing repositories, and comparing popular platforms, this section covers everything you need to track changes, collaborate efficiently, and manage codebases in a DevOps workflow.

To learn Git in advance, refer: Git Tutorial

CI/CD in DevOps

CI/CD stands for Continuous Integration and Continuous Deployment/Delivery. It is a core DevOps practice that automates the process of building, testing, and deploying code changes to production faster and more reliably. Learn how to build CI/CD pipelines usingJenkinsthrough the resources below:

To learn Jenkins in advance, refer: Jenkins Tutorial

4. Scripting Language for DevOps

After understanding source code management, let us start with a scripting language. Scripting language is essential in DevOps as it helps automate repetitive tasks, reduces errors, and saves time.

Languages like Bash, YAML, and Python are widely used, and having basic scripting knowledge can significantly improve your efficiency and effectiveness as a DevOps engineer.

5. Starting With A Cloud Platform

Cloud computing is essential as it powers most modern applications through platforms like AWS, Azure, and Google Cloud. These platforms allow users to easily manage servers, storage, databases, and networks from a single interface.

Here are tutorials for the three most widely used cloud platforms, with clear explanations to help you get started:

6. Docker

Docker is a popular containerization tool that is used to deliver software quickly by using the concept of containerized code which helps for easy management and maintenance of applications.

In this section on Docker, we’ll cover the core components and commands that form the foundation of containerization. You’ll learn how Docker works, understand its architecture, use key commands, and create custom images with Dockerfiles. We’ll also explore Docker Compose for multi-container setups, manage storage and networking, expose container ports, work with Docker registries, and get introduced to Docker Swarm for basic container orchestration.

To learn Docker in advance, refer: Docker Tutorial

7. Kubernetes

Docker helps you create and run containers, but when your application grows and you need to manage multiple containers across different machines, Docker alone isn’t enough. That’s where Kubernetes comes in. Kubernetes is used to orchestrate and manage Docker containers at scale.

Here is all you need to learn in Kubernetes:

To learn Kubernetes in advance, refer: Kubernetes Tutorial

8. Infrastructure as a Code

IaC enables automating and configuring the infrastructure resources using various tools such as Terraform, CloudFormation, ARM Templates, etc. It defines cloud resources, manages resource dependencies, creates reusable templates, tests IaC code, and manages code changes using version control systems.

To learn more, you can refer to Complete DevOps Roadmap – Beginner to Advanced

DevOps Course by GeeksforGeeks

Learn DevOps step by step with GeeksforGeeks DevOps courses. These self-paced programs cover everything from Linux, Git, Docker, and Kubernetes to CI/CD, Jenkins, Terraform, Ansible, and cloud platforms like AWS and Azure—helping you build and deploy real-world projects

DevOps Interview Questions

Here are the top 70 most commonly asked DevOps interview questions, covering essential topics like CI/CD, configuration management, containerization, cloud services, infrastructure as code, and monitoring tools.

Is DevOps for Freshers?

DevOps is a hot topic in the IT industry and lots of companies now need a DevOps Engineer to manage their servers, code deployment process, and maintenance of their applications. If you also want to join any organization as a DevOps Engineer without any prior work experience, then it is very important for you to follow these certain tips to get into the world of DevOps.

  1. Learn the Fundamentals listed above
  2. Gain Hands-on knowledge by practicing and building projects
  3. Try to learn and master automation
  4. Develop soft skills
  5. Network with professionals
  6. Always be in the loop of learning and implementing.

DevOps Career Opportunities

The demand for DevOps professionals continues to grow, with organizations increasingly adopting DevOps practices to enhance software delivery and operational efficiency. Here are

**Role **Key Responsibilities **Skills Required **Avg. Salary (India) **Avg. Salary (U.S.)
**DevOps Engineer Automate CI/CD pipelines, manage infrastructure, monitor systems, and collaborate across teams. Jenkins, Docker, Kubernetes, Git, Linux, scripting (Bash/Python), AWS/Azure. ₹7–15 LPA 85K–85K–85K130K
**Site Reliability Engineer Ensure system reliability, scalability, and performance; implement monitoring and incident response strategies. Prometheus, Grafana, Kubernetes, Python/Go, incident management. ₹10–20 LPA 100K–100K–100K150K
**DevOps Architect Design and implement DevOps strategies, oversee tool integration, and ensure best practices across the organization. Terraform, Ansible, AWS/Azure, CI/CD tools, infrastructure as code (IaC). ₹18–28 LPA 120K–120K–120K160K
**DevSecOps Engineer Integrate security practices into the DevOps pipeline, conduct vulnerability assessments, and ensure compliance. Security tools (e.g., SonarQube), CI/CD, scripting, cloud security. ₹12–22 LPA 110K–110K–110K150K
**Release Manager Oversee the software release process, coordinate between teams, and ensure timely and smooth deployments. Jenkins, Git, project management, communication skills. ₹8–16 LPA 90K–90K–90K130K
**Automation Engineer Develop and maintain automation scripts for deployment, testing, and other operational tasks. Selenium, Python, Bash, CI/CD tools. ₹6–14 LPA 80K–80K–80K120K
**Cloud DevOps Engineer Manage cloud infrastructure, automate deployments, and ensure scalability and security in cloud environments. AWS/Azure/GCP, Terraform, Kubernetes, cloud security. ₹10–20 LPA 100K–100K–100K150K
**DevOps Consultant Advise organizations on DevOps best practices, tool selection, and implementation strategies. DevOps tools expertise, communication, project management. ₹12–24 LPA 110K–110K–110K160K
**Platform Engineer Build and maintain the underlying platform infrastructure, ensuring stability and scalability for development and operations. Kubernetes, Docker, cloud services, scripting. ₹9–18 LPA 95K–95K–95K140K
**DevOps Manager Lead DevOps teams, strategize DevOps implementations, and align DevOps practices with business goals. Leadership, DevOps tools, project management, communication. ₹15–30 LPA 120−120 - 120170k

List of Companies Using DevOps

These are some Popular companies that use DevOps in their workflow:

**Company Name **DevOps Implementation
**Amazon Extensive use of DevOps in AWS, CI/CD pipelines, and automation tools.
**Google DevOps practices for managing large-scale infrastructure, automation, and microservices.
**Netflix DevOps for continuous delivery, auto-scaling, and rapid deployment of features.
**Facebook (Meta) DevOps for managing large-scale data centers, automation, and site reliability.
**Microsoft DevOps integration in Azure, automated deployments, and CI/CD practices.
**Etsy Early adopter of DevOps, using it for rapid deployment and continuous integration.
**Uber Utilizes DevOps for microservices, automation, and scaling infrastructure.
**Airbnb Implements DevOps for infrastructure as code, automation, and scaling operations.
**Spotify DevOps for continuous integration, automation, and microservices architecture.
**LinkedIn Uses DevOps for infrastructure management, automation, and rapid feature releases.

Conclusion

DevOps is an excellent approach for delivering quality products more efficiently and helps an organization to stay competitive in today's fast-paced digital world by focusing more on automating services, collaborations, and continuous improvement of the product's features by adapting continuous integration and continuous delivery methodology.