Learning Azure DevOps, Second Edition (Paperback)
Myra Kelnor
Sold by Grand Eagle Retail, Bensenville, IL, U.S.A.
AbeBooks Seller since 12 October 2005
New - Soft cover
Condition: New
Ships within U.S.A.
Quantity: 1 available
Add to basketSold by Grand Eagle Retail, Bensenville, IL, U.S.A.
AbeBooks Seller since 12 October 2005
Condition: New
Quantity: 1 available
Add to basketPaperback. Build once. Ship it always.The whole point of Azure is that every team should be able to ship code confidently, automatically secure it and scale up without any hassle. And this hands-on second edition on Azure DevOps teaches you to build a production-grade multi-stage pipeline from scratch using a single evolving Spring Boot REST API.Each chapter adds a new capability, like YAML pipeline authoring, infrastructure provisioning with Bicep and Terraform, zero-downtime blue-green deployments, package management with Azure Artifacts, automated API contract testing with Newman, shift-left security with GitHub Advanced Security, and AI-assisted development with GitHub Copilot Agent Mode. It's all very practical. Every concept is shown using tried-and-tested code, real pipeline stages and real Azure resources.Whether you're an Azure developer looking to automate your first pipeline, or a DevOps engineer modernising a legacy release process, or a team lead building a security-conscious delivery culture, this book has got you covered. This book has covered DORA metrics, DevSecOps lifecycle controls, Azure DevOps MCP Server integration, and responsible AI governance, which are the things that modern cloud teams need the most.Key LearningsBuild multi-stage Azure Pipelines YAML with reusable templates and approval gates.Provision Azure infrastructure idempotently using Bicep and Terraform in CI pipelines.Execute zero-downtime production deployments using App Service blue-green slot swaps.Manage Maven, npm, and PyPI packages through private Azure Artifacts upstream feeds.Shift security left using SonarLint, detect-secrets, CodeQL, and dependency scanning.Automate API contract validation using Postman collections and Newman in pipelines.Measure and improve engineering performance using the four DORA delivery metrics.Control feature rollout safely without redeployment using Azure App Configuration flags.Orchestrate AI-assisted DevOps tasks using GitHub Copilot Agent Mode and MCP Server.Apply DevSecOps across all seven lifecycle stages from planning through runtime monitoring.Table of ContentGetting Started with Azure DevOpsPipeline as Code with YAMLContinuous Integration with Azure PipelinesContinuous Delivery with Azure PipelinesManaging Dependencies with Azure ArtifactsQA Testing with Azure Test PlansInfrastructure Automation with Azure PipelinesCollaboration and Team Management in Azure DevOpsImplementing DevSecOpsAI-Assisted DevOps with GitHub Copilot and Azure This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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The whole point of Azure is that every team should be able to ship code confidently, automatically secure it and scale up without any hassle. And this hands-on second edition on Azure DevOps teaches you to build a production-grade multi-stage pipeline from scratch using a single evolving Spring Boot REST API.
Each chapter adds a new capability, like YAML pipeline authoring, infrastructure provisioning with Bicep and Terraform, zero-downtime blue-green deployments, package management with Azure Artifacts, automated API contract testing with Newman, shift-left security with GitHub Advanced Security, and AI-assisted development with GitHub Copilot Agent Mode. It's all very practical. Every concept is shown using tried-and-tested code, real pipeline stages and real Azure resources.
Whether you're an Azure developer looking to automate your first pipeline, or a DevOps engineer modernising a legacy release process, or a team lead building a security-conscious delivery culture, this book has got you covered. This book has covered DORA metrics, DevSecOps lifecycle controls, Azure DevOps MCP Server integration, and responsible AI governance, which are the things that modern cloud teams need the most.
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