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Book Cover for: DevOps for Cloud Platforms - CI/CD, Pipelines, and Infrastructure-as-Code: A Practical Guide to Automating Cloud Operations with GitOps, Containers, a, Kaito Mori

DevOps for Cloud Platforms - CI/CD, Pipelines, and Infrastructure-as-Code: A Practical Guide to Automating Cloud Operations with GitOps, Containers, a

Kaito Mori

Modern cloud environments demand speed, reliability, and automation at every stage of the software delivery lifecycle. DevOps for Cloud Platforms is a complete, hands-on guide to building fully automated cloud-native workflows using CI/CD pipelines, Infrastructure-as-Code, GitOps, and container-driven deployment strategies.
Written for cloud engineers, DevOps specialists, SREs, and senior developers, this book walks you through real-world DevOps implementations across hybrid and multi-cloud environments. You'll learn how to design reproducible build and deployment pipelines, manage immutable infrastructure, enforce policy-driven workflows, and implement observability systems that deliver deep insight into distributed applications.
From pipeline automation and secret management to cloud-native deployments and GitOps governance, this is the modern professional's playbook for achieving velocity, safety, and operational excellence.
You'll Learn How To:
  • Architect CI/CD systems for automated builds, testing, and deployments
  • Use Infrastructure-as-Code with Terraform, Pulumi, and CloudFormation
  • Implement GitOps workflows with Argo CD and Flux
  • Build secure, container-based delivery pipelines using Docker and Kubernetes
  • Integrate monitoring, logging, and on-call automation across cloud platforms
  • Manage secrets, policy, and configuration at scale
  • Design reliable cloud operations with DevOps best practices and SRE principles
Whether you're launching your first pipeline or engineering enterprise DevOps systems, this book provides the tools and patterns to automate cloud operations with precision and confidence.

Book Details

  • Publisher: Independently Published
  • Publish Date: Nov 25th, 2025
  • Pages: 160
  • Language: English
  • Edition: undefined - undefined
  • Dimensions: 10.00in - 7.00in - 0.34in - 0.64lb
  • EAN: 9798276129440
  • Categories: Artificial Intelligence - Generative AIArtificial Intelligence - Natural Language Processing