Basic DevOps Course Overview

Basic DevOps Course Overview

A Basic DevOps course is designed to introduce learners to the fundamental concepts and tools that form the backbone of DevOps practices. This course covers the essentials of Software version control, containerization, automation, and Continuous integration and delivery, providing a solid foundation for students looking to pursue careers in DevOps.

Module 1: GIT is focused on version control using Git. Students learn about the importance of tracking and managing changes to code, the history of Git, basic commands, branching, and repositories. This module is crucial for understanding how teams collaborate in a software development environment.

Module 2: Docker dives into container technology, teaching students how to package, distribute, and run applications within containers. The lessons cover Docker installation, essential commands, Image creation, and managing containerized applications.

Module 3: Automation with Ansible provides insights into automating deployment and configuration management using Ansible. Students explore Ansible's architecture, Playbook management, and the use of roles and templates for automation.

Module 4: Jenkins introduces Continuous integration and delivery with Jenkins. Learners get hands-on experience with Jenkins by setting up jobs, integrating with Git, and Automating deployments.

Overall, this course is an excellent starting point for those pursuing DevOps advanced training, equipping them with the skills needed to streamline software development and operations processes effectively.

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Koenig's Unique Offerings

Course Prerequisites

To ensure a successful learning experience in the Basic DevOps course provided by Koenig Solutions, the following prerequisites are recommended for prospective students:


  • Basic understanding of software development processes and methodologies.
  • Familiarity with command-line interfaces (CLI) on Linux or Windows operating systems.
  • Fundamental knowledge of operating systems and their environments.
  • Introductory-level experience with any programming or scripting language (e.g., Python, Bash, or PowerShell).
  • Awareness of system administration tasks such as installing software, managing files, and configuring network settings.
  • An interest in automation tools and eagerness to learn about infrastructure as code.

Please note that while prior experience in these areas can enhance your learning, the course is designed to introduce the fundamental concepts of DevOps, including version control with Git, containerization with Docker, automation with Ansible, and continuous integration/continuous deployment (CI/CD) with Jenkins. Enthusiasm and a willingness to learn are just as important as technical background.


Target Audience for Basic DevOps

The Basic DevOps course offers foundational knowledge in GIT, Docker, Ansible, and Jenkins, tailored for those aspiring to streamline software development and deployment.


Target Job Roles/Audience:


  • Software Developers looking to understand version control and automation
  • IT Professionals seeking to integrate DevOps practices into their workflows
  • System Administrators aiming to automate server setup and management
  • Quality Assurance Technicians interested in continuous integration and continuous deployment (CI/CD) processes
  • Technical Project Managers wanting to improve collaboration between development and operations teams
  • DevOps Engineers at the beginning of their career path
  • Graduates and Entry-level professionals interested in a DevOps career
  • Technical Support Engineers aiming to enhance their troubleshooting efficiency with containerization
  • Infrastructure Architects looking to design and manage a more agile and automated environment
  • Security Professionals wishing to understand DevOps tools for secure CI/CD pipelines


Learning Objectives - What you will Learn in this Basic DevOps?

Introduction to the Course's Learning Outcomes and Concepts Covered

In the Basic DevOps course, students will gain a foundational understanding of key DevOps tools and practices, encompassing version control with Git, containerization with Docker, automation with Ansible, and continuous integration/continuous deployment (CI/CD) with Jenkins.

Learning Objectives and Outcomes

  • Understand the importance of version control systems and learn the history and basics of Git, including installation, configuration, and repository management.
  • Acquire the ability to perform essential Git operations such as commits, branching, tagging, and working with remote repositories.
  • Gain a solid understanding of Docker, including its installation, container management, and the creation and handling of Docker images using Dockerfiles.
  • Learn how to create a private registry, manage Docker Hub repositories, network containers, and ensure data persistence with volumes.
  • Discover the fundamentals of Ansible, its architecture, and how to install and configure it for IT automation.
  • Master the use of Ansible to execute ad-hoc commands, manage playbooks, handle variables, loops, notifications, and use Ansible Vault for secure variable management.
  • Understand how to create and use Jinja2 templates and manage complex deployments with Ansible roles.
  • Grasp the concepts of continuous integration and continuous deployment (CI/CD), and learn how to use Jenkins for automating the build, test, and deployment processes.
  • Learn to configure Jenkins jobs, manage user interfaces, add remote machines and credentials, and deploy web servers automatically.
  • Integrate Jenkins with Git for source code management and Ansible for deployment automation, enhancing the CI/CD pipeline.

Technical Topic Explanation

Software version control

Software version control is a system that records changes to files and projects over time so that you can recall specific versions later. It allows multiple people to work on the same project without conflicting with each other’s changes. Such systems facilitate project tracking, error correction, and minimizing disruptions when updating applications. This is essential in maintaining efficiency, reliability, and continuity in software development projects. It's integral to DevOps practices, supporting a more collaborative and dynamic environment that helps produce better software outcomes faster and more securely.

Containerization

Containerization is a technology that helps package and run applications with their required libraries and dependencies in isolated environments called containers. Unlike traditional methods where applications share the same operating system, containerization allows each application to operate in its own container with its own environment, ensuring consistency across different development, testing, and production environments. This approach enhances security, simplifies management, and improves the scalability and portability of applications. By using containerization, teams achieve more efficient, predictable, and robust software deployments, which is especially beneficial in DevOps practices.

Automation

Automation is a technology that allows machines or software to perform tasks without human intervention, enabling faster, more efficient, and accurate operations. In various industries, automation streamlines processes, reduces errors, and lowers operating costs. It's pivotal in sectors like manufacturing for optimizing production lines and in software development, where it facilitates continuous integration and delivery. Advanced DevOps training often incorporates automation tools and practices, enhancing deployment cycles and infrastructure management. This training builds skills in orchestrating complex system workflows automatically, significantly boosting business agility and operational reliability.

Continuous integration and delivery

Continuous integration and delivery (CI/CD) are practices in software development where developers frequently merge their code changes into a central repository, followed by automatic builds and tests. The main goals are to improve software quality and reduce the time it takes to validate and release new software updates. Continuous integration involves the automated integration of code changes, ensuring that the software is functional and free of bugs. Continuous delivery takes this further by automatically deploying all code changes to a testing or production environment after the build stage. This allows teams to deliver updates to users faster and more frequently.

Git

Git is a version control system that allows multiple developers to work on a project without interfering with each other's changes. It helps track modifications, manage coding versions, and maintain a history of all past updates, which can be reverted if necessary. Git is essential in DevOps practices for managing source code changes and facilitating continuous integration and delivery. It supports collaboration and enhances the speed and security of the development process. Git is widely used due to its efficiency in handling projects of any size and its ability to resolve conflicts that arise from developers working in parallel.

Docker

Docker is a tool designed to make it easier to create, deploy, and run applications by using containers. Containers allow a developer to package up an application with all of the parts it needs, such as libraries and other dependencies, and ship it all out as one package. This means that the application will run the same, regardless of the environment it is operating in. Docker is particularly useful in DevOps as it streamlines development, testing, and deployment processes, making it a core component of advanced DevOps training.

Image creation

Image creation, in a technical context, refers to the process of designing and building a complete digital image or representation of a system. This can include the operating system, software applications, and configurations tailored for specific tasks. The purpose is often to ensure consistency in environment setups, whether in software development or within a server infrastructure. These images can be deployed multiple times across different machines, aiding in rapid setup and minimizing variations that could lead to errors or conflicts in software performance. This practice is common in areas like software development, system administration, and DevOps.

Ansible

Ansible is an open-source tool used for IT tasks such as configuration management, application deployment, and task automation. It simplifies complex software setups, manages scalable deployments across various nodes, and coordinates interdependent tasks with ease. Ansible works by connecting to nodes and pushing out small programs called "Ansible modules" to them. These programs are written to be resource models of the desired state of the system. Ansible then executes these modules and removes them when finished, using a simple language called YAML for defining tasks. This tool is crucial in DevOps to manage multiple environments seamlessly and efficiently.

Playbook management

Playbook management in the context of DevOps involves creating and overseeing a collection of automated scripts, or "playbooks," that standardize and streamline the deployment, management, and configuration of software across various operational environments. These playbooks, often used in advanced DevOps training programs, help ensure consistent and error-free operations by defining a series of tasks that execute complex or repetitive procedures automatically. This form of management is crucial for enhancing team efficiency, reducing downtime, and maintaining consistency and predictability in software delivery processes.

Jenkins

Jenkins is an open-source automation server that helps in the continuous integration and delivery of software projects. It automates the process of building, testing, and deploying code, enabling developers to efficiently manage updates and ensure software quality. Jenkins supports various development workflows and integrates seamlessly with numerous testing and deployment technologies. This tool is vital in a DevOps environment, facilitating a smooth and fast transition from code development to production, enhancing both productivity and code reliability. Essentially, Jenkins acts as the backbone of any development pipeline, orchestrating the flow of changes to the application or software.

Automating deployments

Automating deployments refers to the process of automatically deploying software to a development, testing, or production environment, typically using specialized tools and scripts. This approach minimizes human errors, speeds up the delivery of new features and updates, and enhances overall productivity and consistency in operations. Automation in deployments is central to DevOps practices, promoting continuous integration and continuous delivery (CI/CD) of software. By implementing automation, teams can focus more on developing features rather than managing the deployment process, leading to quicker and more reliable software releases.

Target Audience for Basic DevOps

The Basic DevOps course offers foundational knowledge in GIT, Docker, Ansible, and Jenkins, tailored for those aspiring to streamline software development and deployment.


Target Job Roles/Audience:


  • Software Developers looking to understand version control and automation
  • IT Professionals seeking to integrate DevOps practices into their workflows
  • System Administrators aiming to automate server setup and management
  • Quality Assurance Technicians interested in continuous integration and continuous deployment (CI/CD) processes
  • Technical Project Managers wanting to improve collaboration between development and operations teams
  • DevOps Engineers at the beginning of their career path
  • Graduates and Entry-level professionals interested in a DevOps career
  • Technical Support Engineers aiming to enhance their troubleshooting efficiency with containerization
  • Infrastructure Architects looking to design and manage a more agile and automated environment
  • Security Professionals wishing to understand DevOps tools for secure CI/CD pipelines


Learning Objectives - What you will Learn in this Basic DevOps?

Introduction to the Course's Learning Outcomes and Concepts Covered

In the Basic DevOps course, students will gain a foundational understanding of key DevOps tools and practices, encompassing version control with Git, containerization with Docker, automation with Ansible, and continuous integration/continuous deployment (CI/CD) with Jenkins.

Learning Objectives and Outcomes

  • Understand the importance of version control systems and learn the history and basics of Git, including installation, configuration, and repository management.
  • Acquire the ability to perform essential Git operations such as commits, branching, tagging, and working with remote repositories.
  • Gain a solid understanding of Docker, including its installation, container management, and the creation and handling of Docker images using Dockerfiles.
  • Learn how to create a private registry, manage Docker Hub repositories, network containers, and ensure data persistence with volumes.
  • Discover the fundamentals of Ansible, its architecture, and how to install and configure it for IT automation.
  • Master the use of Ansible to execute ad-hoc commands, manage playbooks, handle variables, loops, notifications, and use Ansible Vault for secure variable management.
  • Understand how to create and use Jinja2 templates and manage complex deployments with Ansible roles.
  • Grasp the concepts of continuous integration and continuous deployment (CI/CD), and learn how to use Jenkins for automating the build, test, and deployment processes.
  • Learn to configure Jenkins jobs, manage user interfaces, add remote machines and credentials, and deploy web servers automatically.
  • Integrate Jenkins with Git for source code management and Ansible for deployment automation, enhancing the CI/CD pipeline.