CI/CD, Git,

GitLab CI/CD: Architecting, Deploying, and Optimizing Pipelines

Unlock the power of GitLab CI/CD: From Architecture to Automation - Master pipelines, deployment strategies, and optimization with hands-on labs. Ideal for devs, DevOps, and IT pros

4.8How students rate KodeKloud 1000000+ Students

Taught by: Barahalikar Siddharth, Trainer - MuleSoft | Kubernetes | DevSecOps

Description

Ever wondered what sets KodeKloud apart from the rest? Let’s dive in and explore the unique feature that make learning with us an exceptional experience.

We’re thrilled to introduce you to our browser-based hands-on labs. Here’s where accessibility and convenience meet. With these labs, learning becomes not just informative, but interactive and practical. Explore, experiment, and confidently deploy solutions directly within your browser.

What is the scope of this course and labs?

Embark on a comprehensive journey into the heart of GitLab CI/CD with this immersive course, designed to equip you with the knowledge and skills needed to architect, deploy, and optimize efficient pipelines within your projects. From foundational concepts to advanced techniques, dive deep into the world of Continuous Integration and Continuous Deployment with GitLab.

• Architecture & Core Concepts

Understanding the principles and components of GitLab CI/CD
Exploring the orchestration of CI/CD processes within GitLab

• Continuous Integration with GitLab

Automating builds, tests, and code validation
Structuring pipelines and integrating with version control systems
Hands-on Lab: Exploring Pipeline Configuration
Hands-on Lab: Create a Pipeline with Unit testing and Code Coverage

• Continuous Deployment with GitLab

Automating deployment processes and managing releases
Implementing blue-green deployments, canary releases, and rollback mechanisms
Hands-on Lab: Testing, Artifacts, and Cache
Hands-on Lab: Docker, and Services
Hands-on Lab: K8S – Deploy App to Dev and Staging Environment

• Optimization, Security, and Monitoring

Fine-tuning performance and resource utilization
Implementing robust security measures and monitoring pipeline health
Hands-on Lab: Optimizing, Securing and Monitoring Pipelines

• Self-Managed Runners

Customizing CI/CD infrastructure for optimal scalability
Managing resources efficiently with self-managed runners
Hands-on Lab: Install Runner and Execute AWS S3 Jobs

• Auto DevOps

Streamlining CI/CD automation with GitLab’s built-in feature
Simplifying the development lifecycle from code to production
Hands-on Lab: GitLab AutoDevOps

Who Should Attend:

Software developers
DevOps engineers
IT professionals seeking to master CI/CD automation with GitLab

Unlock the full potential of GitLab CI/CD, accelerate software delivery, and achieve continuous innovation within your organization!

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What our students say

I'm not a security specialist, but I have realized that the course explains very well every topic and you can use the labs in every lesson to practice. It's a hard certification but using this course I could learn every element step by step and test myself if I was ready using the exam simulators, and I was great because the simulators are very close to a real exam! using this course I got the certification in my first attempt!

Thank you so much Mumshad Mannambeth for the awesome course, I couldn't find better than yours. These courses are well designed with awesome practice labs and have more than the required content to learn and pass the Kubernetes exams. Not sure how you are managing them with these much of low cost.

... Thank you Mumshad Mannambeth and the team for your contribution to computer education. If all training programs were like yours, there won't be a movement called #womanintech....

Thanks KodeKloud for amazing Kodekloud Engineer site ! You are guys the future of IT education ! Special thanks for Mumshad Mannambeth for the best Kubernetes training and amazing KodeKloud labs.

About the instructor

Siddharth Barahalikar

Siddharth is a Technical Architect and specializes in API Management and DevOps Technologies. For most of his career, he worked on various API Management tools like Google Apigee, Wso2, Layer7, MuleSoft, DevSecOps, and Kubernetes.

He is deeply passionate about using technology to drive the creation of innovative technical solutions and products.