The Software Engineer’s DevOps Workflow: Create CI/CD Pipelines, Automate Software Testing, and Deliver Applications with Docker and Kubernetes
Writing working code is only part of shipping reliable software. The real challenge begins when that code must be tested, packaged, released, deployed, monitored, and recovered when something goes wrong.
The Software Engineer's DevOps Workflow gives developers a practical path from source code to a running application through a modern, repeatable delivery process.
Rather than treating DevOps as a collection of disconnected tools, this book shows how source control, automated testing, CI/CD, containers, orchestration, security, releases, and observability work together as one software-delivery system.
You will begin by understanding the principles behind dependable delivery: traceable changes, short feedback loops, reproducible builds, controlled environments, versioned artifacts, and recoverable deployments.
From there, you will learn how to:
Structure Git repositories for reliable automation
Work with practical branching, pull-request, and review workflows
Design repeatable automated builds and tests
Create continuous integration workflows with GitHub Actions
Use quality checks as meaningful pipeline gates
Package applications into reproducible container images
Build coordinated local environments with Docker Compose
Publish and manage versioned release artifacts
Understand Kubernetes workloads, Pods, Deployments, Services, and namespaces
Externalize configuration and manage secrets
Work with storage, CPU, and memory requirements
Build continuous deployment workflows
Manage deployment configuration with reusable manifests and Helm
Perform rolling updates and controlled releases
Detect failed deployments and recover through rollback
Introduce security checks throughout the delivery process
Strengthen container and software supply-chain security
Use logs, metrics, health signals, and Kubernetes diagnostics to investigate failures
Review a complete delivery system for production readiness
The practical chapters follow one reference application as it evolves through the entire delivery lifecycle. You will first make its source and tests dependable, then automate validation, create a container image, publish a versioned artifact, deploy it to Kubernetes, manage runtime configuration, add security controls, deliberately introduce failures, and practice recovering from them.
This approach keeps the focus on engineering decisions rather than memorizing isolated commands.
You will also learn an important principle that extends beyond any single platform: automation should remove repetitive work without removing judgment. A dependable pipeline does not simply deploy quickly. It makes changes traceable, failures visible, releases reproducible, credentials protected, and recovery possible.
By the end of the book, you will understand how to move from a code commit to a running workload through a controlled sequence of testing, packaging, publishing, deployment, verification, and operational feedback.
Whether you are a software developer expanding into delivery engineering or an engineer who wants a clearer understanding of how modern applications reach production, this book provides a practical framework you can reuse across projects and teams.
Stop treating deployment as the last manual step after development. Build a delivery workflow that is testable, repeatable, observable, and recoverable.
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