Modern DevOps culture hinges on automation. The guide "Pipeline as Code" is a comprehensive manual for building reliable, scalable CI/CD pipelines using programming principles. Written by a practicing engineer, it shows how to shift build, test, and deploy processes from UI interfaces to code, enhancing infrastructure stability and predictability.
The guide covers real-world tools - Jenkins, GitHub Actions, CircleCI - alongside security practices and dependency management. Presented through a GitOps and declarative lens, each section includes practical examples, making it valuable for developers, SREs, and infrastructure engineers.
This isn’t an overview pamphlet but a professional resource for creating automated environments that run with minimal manual intervention and fewer failures. It’s recommended for those building or enhancing DevOps infrastructure in serious projects.
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What Does "Pipeline as Code" Cover?
It explores modern approaches to creating and maintaining code-based CI/CD pipelines, emphasizing declarativeness, versioning, reproducibility, and modularity. The core idea: pipelines should be as manageable as source code.
The guide dives into popular tools: Jenkins with Jenkinsfile, GitHub Actions with YAML workflows, CircleCI, GitLab CI, and more. It provides concrete pipeline templates, explaining structure, syntax, environment variables, and trigger logic.
Special focus is given to infrastructure as code (IaC), security, monitoring, and rollback strategies. The author includes real-world commercial development cases, including for microservices and Kubernetes.
The guide helps reduce deployment errors, accelerate feature releases, and enhance delivery pipeline resilience. It doesn’t just explain “what CI/CD is” but shows how to build practical, scalable, and maintainable solutions.
Who Is This Guide For?
This manual is for professionals working with process automation and infrastructure:
- DevOps engineers building reliable pipelines for diverse projects
- SREs prioritizing production environment stability
- Developers involved in CI/CD setup and releases
- Technical team leads overseeing engineering practices
- Infrastructure engineers implementing GitOps and IaC
Every DevOps professional will find ready-to-use solutions and learn to avoid common pitfalls.
How Can This Guide’s Knowledge Be Applied Practically?
Reading "Pipeline as Code" enables a shift from manual CI/CD setups to automated, versioned infrastructure, unlocking stability, security, and faster releases. You’ll be able to:
- Automate build, test, and deploy processes for any project
- Configure GitHub Actions, Jenkins, or GitLab CI with config files
- Simplify rollbacks and add new pipeline stages
- Ensure predictable, reproducible environments
- Implement centralized pipeline management for teams
The solutions apply to startups and large product companies alike.
More About the Author of the Book
The Developer's Opinion About the Book
This is a book you read to implement, not theorize. Structured as a professional manual, it delivers actionable solutions the moment you open a section. Its emphasis on GitOps, declarativeness, and security makes pipelines not just automated but manageable. For teams where releases pass through QA, DevOps, and developers, this guide establishes engineering discipline. I recommend it for those working with Kubernetes, Terraform, GitHub Actions, or Jenkins. It’s not for casual reading but for configuring and improving. A must-read for building modern delivery processes.
Brian Wallace, Systems Administrator
FAQ for "Pipeline as Code"
1. How does pipeline as code differ from traditional visual CI/CD?
Visual CI/CD interfaces are often tied to specific platforms (e.g., Jenkins UI, GitLab CI UI), making them hard to scale or track in code. Pipeline as code defines automation logic in configuration files, versioned in Git and tested alongside project code. This boosts reproducibility, simplifies code review, and makes pipelines transparent to teams. It speeds up development, reduces errors, and enables easy pipeline portability across projects and environments. You can clone, refactor, and templatize pipelines like regular code.
2. Which tools are covered in detail in "Pipeline as Code"?
The guide covers Jenkins (with Jenkinsfile), GitHub Actions (YAML-based workflows), GitLab CI, CircleCI, and elements of Kubernetes and Terraform in CI/CD contexts. Examples feature real configurations, explaining each block: from step definitions to environment variables and execution conditions. The author shares practices for organizing pipelines at project, microservice, and system levels. It also covers security and quality tools like SonarQube, Trivy, and Snyk, making it versatile for both novice and experienced DevOps engineers.
3. How relevant is the guide for cloud and container solutions?
Highly relevant. Many examples focus on Kubernetes automation, Helm charts, Docker images, and GitOps. The author shows how to build and deploy images, manage configurations, and integrate pipelines with monitoring (Prometheus, Grafana) and logging systems. It covers multi-environment deployments (staging, production) using ArgoCD, Flux, and Terraform. For cloud or container workflows, the guide offers scalable, ready-to-use patterns that align with modern stacks.
4. Will this guide help those new to CI/CD?
Yes, despite its depth, it’s accessible to beginners. Early chapters cover basics: what pipelines are, why CI/CD matters, and how Git, tests, and releases connect. The author explains issues with manual approaches and how pipeline as code solves them. The material progresses from simple to advanced examples, easing newcomers into the topic. It also provides guidance on pipeline architecture, configuration errors, and security, making it an ideal starting point for engineers exploring automation.
5. What security approaches does the author cover?
Security is a key focus. The author details preventing secret leaks (using HashiCorp Vault, GitHub Secrets, sealed secrets in Kubernetes), dependency scanning (OWASP, Snyk), and policy-as-code with Open Policy Agent. It covers practices for limiting agent permissions, isolating environment variables, and ensuring pipeline version control. Supply chain and external dependency risks are also addressed.
Information
| Author: | Mohamed Labouardy | Language: | English |
| Publisher: | Manning | ISBN-13: | 978-1617297540 |
| Publication Date: | October 26, 2021 | ISBN-10: | 1617297542 |
| Print Length: | 528 pages | Category: | SysAdmin Books |
Get PDF version of "Pipeline as Code" by Mohamed Labouardy
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