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Automating DevOps with GitLab CI/CD Pipelines (1 ed)

SKU: Ebokify-0818

Original price was: $44.99.Current price is: $5.00.

  • Language: ‎English
  • Format: ‎PDF
  • Pages: 348 pages
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Description

Automating DevOps with GitLab CI/CD Pipelines: Build efficient CI/CD pipelines to verify, secure, and deploy your code using real-life examples, 1st Edition

Developers and release engineers understand the high stakes of building, packaging, and deploying code efficiently. Ensuring that your code is fast, secure, and functionally correct can be a time-consuming and complex task. GitLab CI/CD pipelines simplify these tasks, enabling automation and seamless deployment.

Automating DevOps with GitLab CI/CD Pipelines starts with the fundamentals of Git and GitLab, guiding you through committing and reviewing code. You'll learn how to set up GitLab Runners to execute and autoscale CI/CD pipelines, configure pipelines for different stages of the software development lifecycle, and analyze pipeline results in GitLab. As you progress, you'll gain expertise in deploying code across environments, integrating GitLab with Kubernetes and Terraform, triggering pipelines, and improving pipeline performance. This book also includes troubleshooting techniques, best practices, real-world use cases, and self-assessments to reinforce key CI/CD concepts and help you prepare for GitLab-related interviews and certifications.

By the end of this book, you'll have the skills to build and automate CI/CD pipelines in GitLab, streamline DevOps workflows, and deploy high-quality, secure code with confidence.

What you will learn

  • Understand Git, GitLab, and DevOps fundamentals to streamline software development
  • Create, configure, and run GitLab CI/CD pipelines for automated code verification and deployment
  • Secure and deploy code using GitLab's built-in security tools and best practices
  • Set up and optimize GitLab Runners to efficiently execute pipelines
  • Leverage advanced CI/CD techniques like DAGs, conditional logic, and GitLab with Kubernetes
  • Troubleshoot pipeline failures and implement best practices for reliability
  • Use GitLab CI/CD for end-to-end software lifecycle automation

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