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MASTERING GitLab CI/CD: A Practical, End-to-End Guide to Modern DevOps Pipelines
Paperback
Publisher: Independently Published
Published: Sep 17 2026
Pages: 188
Weight: 0.57
Height: 0.40 Width: 6.00 Depth: 9.00
Language: English
A Practical, End-to-End Guide to Modern DevOps Pipelines
Master GitLab CI/CD and learn how to design, build, secure, optimize, and scale modern DevOps pipelines from the ground up.
MASTERING GitLab CI/CD is a practical, end-to-end guide for developers, QA engineers, DevOps engineers, SREs, platform engineers, and anyone who wants to build reliable and production-ready CI/CD pipelines with GitLab.
Starting with the fundamentals, this book takes you step by step from understanding DevOps and GitLab to creating your first .gitlab-ci.yml pipeline-and then progresses into the advanced concepts required to operate CI/CD at scale.
Inside the Book, You Will Learn:GitLab CI/CD fundamentals, projects, repositories, namespaces, permissions, pipelines, stages, and jobs
How .gitlab-ci.yml works and how the complete pipeline lifecycle operates
GitLab Runner architecture, executors, tags, concurrency, autoscaling, and security
CI/CD variables, secrets, credentials, and practical variable-management strategies
Artifacts, caching, dependencies, and techniques for improving pipeline performance
Advanced rules and workflow: rules for controlling when pipelines and jobs execute
Docker in CI/CD, Docker-in-Docker, image tagging, multi-stage builds, and the GitLab Container Registry
Automated testing, parallel test execution, integration testing, coverage, quality gates, and flaky-test handling
Parent-child pipelines, multi-project pipelines, dynamic pipelines, and pipeline orchestration
Reusable CI/CD configuration using include, extends, YAML techniques, templates, and the CI/CD Catalog
GitLab environments and deployment strategies including rolling, blue-green, and canary deployments
Kubernetes deployments using the GitLab Agent and Helm
Dynamic Review Apps for faster development and code reviews
Rollbacks, database migration considerations, feature flags, and progressive releases
DevSecOps practices including SAST, DAST, dependency scanning, and container scanning
Compliance, approval rules, separation of duties, audit events, and creating evidence for auditors
Pipeline analytics, troubleshooting, observability, and systematic performance optimization
Scaling GitLab Runner infrastructure and Kubernetes-based CI/CD environments
Migrating CI/CD workflows from Jenkins and GitHub Actions to GitLab
Designing efficient CI/CD pipelines for monorepos and multi-service applications
GitLab Auto DevOps and the practical differences between automated and hand-written pipelines
AI-assisted pipeline configuration and troubleshooting failed jobs
CI/CD governance, runner capacity management, and cost optimization
This book doesn't stop at basic pipeline syntax. You will learn how individual GitLab CI/CD features fit together to create fast, secure, maintainable, scalable, and reliable software delivery systems.
A practical multi-service case study demonstrates how these concepts can be applied to a realistic system, including path-based change detection, service-specific pipeline design, security, compliance, and reusable CI/CD patterns.
You'll also get dedicated reference material covering GitLab CI/CD keywords, job execution, dependencies, conditional execution, artifacts, resilience, parallelization, environments, reuse, Kubernetes, secrets, GitLab Runner commands, predefined variables, pipeline triggers, and REST API operations.
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