DEVOPS

DevOps is a collection of two words, ” Development ” and ” Operations ,” representing a cultural approach that emphasizes collaboration between development and operations teams to streamline the entire software delivery lifecycle.

This DevOps tutorial is designed to help learn DevOps basics and advanced concepts, including Git, Ansible, Docker, Puppet, Jenkins, a range of DevOps tools, Azure DevOps, Chef, Nagios, and Kubernetes.

DevOps is a software development approach emphasizing collaboration, automation, and continuous delivery to provide high-quality products to customers quickly and efficiently. DevOps breaks down silos between development and operations teams to enable seamless communication, faster time-to-market, and improved customer satisfaction.

It allows a team to handle the complete application lifecycle, from development to testing, operations, and deployment. It shows cooperation between Development and Operations groups to deploy code to production quickly in an automated and repeatable manner.

Every phase of the software development lifecycle, including planning, coding, testing, deployment, and monitoring, is heavily automated in DevOps. This improves productivity, ensures consistency, and lowers error rates in the development process. A culture of continuous improvement is also promoted by DevOps, where feedback loops are incorporated into the procedure to facilitate quicker iteration and better decision-making. Organizations can increase their agility, lower costs, and speed up innovation by adopting DevOps.

1. DevOps Fundamentals

DevOps Tutorial

In this free DevOps Tutorial we are going to discussed the proper curriculum that you need to cover to become a DevOps Engineer. While getting started with DevOps, you first need to understand the fundamentals of DevOps like what is DevOps, how it works, etc.

2. Linux

Linux is one of the most popular operating systems for servers and cloud-based infrastructures. It gives access to a robust CLI, a scripting environment, essential tools and utilities, strong security features, and powerful diagnostic tools for troubleshooting. In order to master the art of delivering high-quality software and infrastructure, it is required for a DevOps Engineer to master Linux.

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. It allows DevOps Engineers to collaborate, manage code, and implement CI/CD pipelines, code quality, and Infrastructure as a Code

4. YAML

Yet Another Markup Language or YAML Ain’t Markup Language is a popular data serialization language that is used extensively in DevOps for defining and managing Infrastructure as a Code, managing configuration for various tools, defining CI/CD Pipelines and integrating with other technologies like JSON, XML, and Python, which makes it easy to learn and use in different DevOps scenarios.

5. Cloud

Cloud Computing is an essential tool to learn to become a DevOps Engineer. Many modern days software applications are deployed on Cloud Platforms like Amazon Web Service , Microsoft Azure , Google Cloud Platform, etc as it provides scalability of the resources, elasticity, automation, tools integrations, and cost-optimizations which helps to manage software applications in the cloud.

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.

7. Kubernetes

Kubernetes is a popular container orchestration tool that provides application scalability, resilience, flexibility, portability, automation, monitoring, and access to a rich ecosystem of tools and plugins which can be applied to various aspects of the DevOps lifecycle, such as deployment, scaling, monitoring, and troubleshooting of applications

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.