GitLab & Jenkins Course Overview

GitLab & Jenkins Course Overview

The GitLab & Jenkins course offers a comprehensive learning path for individuals looking to master continuous integration and deployment (CI/CD) using two of the most popular tools in the software development industry. This course is designed to help learners understand the essentials of CI/CD, the features and architecture of GitLab, and how to create and manage projects within this platform. Moreover, the course dives into practical aspects such as using Docker and Kubernetes in conjunction with GitLab to streamline the build and deployment processes.

By covering topics such as GitLab CI/CD variables, artifacts, and monitoring with Prometheus, the course equips learners with the necessary skills to optimize their development workflow. Additionally, the integration of Jenkins GitLab capabilities is explored, providing a holistic view of how these tools can work together to improve efficiency in software development. Ultimately, this course will empower developers with the knowledge to implement robust CI/CD pipelines, effectively use GitLab Jenkins integrations, and deliver high-quality software swiftly and reliably.

Training Advantage
Number of Learners
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Successfully delivered 2 sessions for over 6 professionals

Training Advantage
Number of Learners
CoursePage_session_icon

Successfully delivered 2 sessions for over 6 professionals

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3,100

  • Live Training (Duration : 80 Hours)
  • Per Participant
  • Guaranteed-to-Run (GTR)
  • Classroom Training price is on request

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  • Live Training (Duration : 80 Hours)
  • Per Participant
  • Classroom Training price is on request

♱ Excluding VAT/GST

You can request classroom training in any city on any date by Requesting More Information

Request More Information

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Koenig's Unique Offerings

Course Prerequisites

To ensure that you can fully benefit from the GitLab & Jenkins course, we recommend that you have the following minimum prerequisites:


  • Basic understanding of software development principles and lifecycle.
  • Familiarity with version control concepts, particularly Git.
  • Basic command-line interface (CLI) skills for interacting with GitLab and Jenkins.
  • Some knowledge of programming or scripting languages (e.g., Python, Ruby, Java, or Bash).
  • Awareness of containerization concepts, including Docker, although in-depth expertise is not required.
  • An introductory level of knowledge of Continuous Integration (CI) and Continuous Deployment (CD) practices.
  • It is beneficial to have some experience with build tools (e.g., Maven, Gradle, Ant) for various programming languages.
  • Access to a computer with internet connection to follow along with hands-on exercises and examples.

Please note that while previous experience with CI/CD tools is helpful, it is not mandatory to begin this course. The training is structured to introduce you to the core concepts and practical applications of GitLab CI/CD and Jenkins.


Target Audience for GitLab & Jenkins

Koenig Solutions' GitLab & Jenkins course offers comprehensive training on CI/CD practices using GitLab, incorporating Docker and Kubernetes integration.


  • DevOps Engineers
  • Software Developers
  • Build and Release Engineers
  • System Administrators
  • IT Professionals involved in automated software development
  • Quality Assurance Engineers
  • Technical Project Managers
  • Application Developers looking to understand CI/CD workflows
  • Technical Leads overseeing development teams
  • Cloud Infrastructure Engineers
  • Professionals working with containerization and orchestration tools


Learning Objectives - What you will Learn in this GitLab & Jenkins?

Introduction to the Course's Learning Outcomes and Concepts Covered

This course on GitLab & Jenkins will equip you with comprehensive understanding and practical skills for implementing CI/CD pipelines, leveraging GitLab's rich feature set, and integrating with Docker and Kubernetes.

Learning Objectives and Outcomes

  • Grasp the fundamentals of Continuous Integration and Continuous Deployment (CI/CD) and their importance in modern software development.
  • Gain in-depth knowledge of GitLab, including its features and architecture, to manage and streamline development workflows.
  • Learn to create and manage new projects in GitLab, including setting up repositories and understanding the role of Docker in builds.
  • Develop skills to build, test, and deploy code using GitLab CI, incorporating various stages and parallel job execution to optimize pipeline performance.
  • Understand the use of environment variables and secrets management within GitLab to maintain security and confidentiality.
  • Master the use of GitLab CI/CD variables, both predefined and custom, and manage secret variables effectively.
  • Explore Docker integration with GitLab for building and pushing images to a central registry, enhancing the containerization process.
  • Implement Kubernetes integration for automated application deployment, achieving scalable and efficient orchestration of containerized applications.
  • Learn to define and use artifacts in GitLab CI/CD pipelines, enabling sharing of files between stages and jobs.
  • Acquire the knowledge to integrate and monitor Prometheus with GitLab, and to analyze metrics from GitLab Runners for improved performance and reliability.

Technical Topic Explanation

Features and architecture of GitLab

GitLab is a software platform that supports the entire DevOps lifecycle. It combines continuous integration (CI) and continuous deployment (CD) into one application, managing projects from planning and source code management to monitoring and security. Within its architecture, GitLab incorporates several features such as issue tracking, source code management, CI/CD pipelines, and comprehensive security applications. This facilitates streamlined workflows and collaboration across development teams. GitLab integrates well with Jenkins to enhance automation, making it possible to more effectively build, test, and deploy applications, combining the strengths of both Jenkins and GitLab in continuous delivery.

Docker

Docker is a platform that makes it easier to create, deploy, and run applications by using containers. Containers allow a developer to package up an application with all the parts it needs, such as libraries and other dependencies, and ship it all out as one package. This ensures that the application will run on any other Linux machine regardless of any customized settings that machine might have that could differ from the machine used for writing and testing the code. This is akin to simplifying the setup process and keeping it consistent across various environments, significantly enhancing development and operational efficiency.

Kubernetes

Kubernetes is a system designed to manage containerized applications across a group of machines. It abstracts and simplifies the deployment, scaling, and operations of application containers, enabling automated rollouts and rollbacks, scaling as per demand, and system self-healing. Kubernetes helps organizations ensure that their applications run efficiently and predictably, providing the tools to deploy applications continuously and predictably, linking with technologies like Jenkins and GitLab for integrated software updates and development pipelines. This integrates seamlessly with CI/CD processes, making it easier for teams to manage complex applications with ease.

Monitoring with Prometheus

Monitoring with Prometheus is a method of tracking the health and performance of software systems. Prometheus collects data from your applications at regular intervals, displaying this information through easy-to-read graphs and alerts. It is especially useful in environments using tools like Jenkins and GitLab, where continuous integration and deployment are pivotal. Prometheus helps you monitor these and other services to ensure they run efficiently and predict problems before they occur, making it an essential tool in maintaining software reliability.

Target Audience for GitLab & Jenkins

Koenig Solutions' GitLab & Jenkins course offers comprehensive training on CI/CD practices using GitLab, incorporating Docker and Kubernetes integration.


  • DevOps Engineers
  • Software Developers
  • Build and Release Engineers
  • System Administrators
  • IT Professionals involved in automated software development
  • Quality Assurance Engineers
  • Technical Project Managers
  • Application Developers looking to understand CI/CD workflows
  • Technical Leads overseeing development teams
  • Cloud Infrastructure Engineers
  • Professionals working with containerization and orchestration tools


Learning Objectives - What you will Learn in this GitLab & Jenkins?

Introduction to the Course's Learning Outcomes and Concepts Covered

This course on GitLab & Jenkins will equip you with comprehensive understanding and practical skills for implementing CI/CD pipelines, leveraging GitLab's rich feature set, and integrating with Docker and Kubernetes.

Learning Objectives and Outcomes

  • Grasp the fundamentals of Continuous Integration and Continuous Deployment (CI/CD) and their importance in modern software development.
  • Gain in-depth knowledge of GitLab, including its features and architecture, to manage and streamline development workflows.
  • Learn to create and manage new projects in GitLab, including setting up repositories and understanding the role of Docker in builds.
  • Develop skills to build, test, and deploy code using GitLab CI, incorporating various stages and parallel job execution to optimize pipeline performance.
  • Understand the use of environment variables and secrets management within GitLab to maintain security and confidentiality.
  • Master the use of GitLab CI/CD variables, both predefined and custom, and manage secret variables effectively.
  • Explore Docker integration with GitLab for building and pushing images to a central registry, enhancing the containerization process.
  • Implement Kubernetes integration for automated application deployment, achieving scalable and efficient orchestration of containerized applications.
  • Learn to define and use artifacts in GitLab CI/CD pipelines, enabling sharing of files between stages and jobs.
  • Acquire the knowledge to integrate and monitor Prometheus with GitLab, and to analyze metrics from GitLab Runners for improved performance and reliability.