Implementing GitOps with Kubernetes
Implementing GitOps with Kubernetes
Automate, manage, scale, and secure infrastructure and cloud-native applications on AWS and Azure
About the Book
This book covers actionable GitOps practices for automated, secure Kubernetes deployments with industry-tested scenarios. You’ll be able to leverage GitOps to tackle cloud-native software delivery challenges, such as preventing data drifts between systems and Git repositories, and ensuring rapid, error-free deployments.
The book introduces GitOps core concepts and principles and then delves into integrating version control and GitOps tools such as Argo CD, Flux CD, Helm, and Kustomize with Kubernetes. You’ll learn about scaling GitOps across multiple clusters, architectural designs for efficient cloud-native operations, and the cultural transformation needed to support GitOps adoption within an organization. As you progress, you’ll be able to automate infrastructure and implement CI/CD processes on OpenShift, MS Azure, and AWS platforms using GitOps, Terraform, OpenTofu, and Argo CD. You’ll also explore examples and best practices for integrating observability, enhancing security, managing financial operations (FinOps), and future trends such as AI and sustainability in GitOps.
By the end of this book, you’ll have gained the skills you need to apply GitOps strategies for robust Kubernetes and cloud deployments, thereby boosting your productivity and efficiency.
Table of Contents
- An Introduction to GitOps
- Navigating Cloud-Native Operations with GitOps
- Version Control and Integration with Git and GitHub
- Kubernetes with GitOps Tools
- GitOps at Scale and Multitenancy
- GitOps Architectural Designs and Operational Control
- Cultural Transformation in IT for Embracing GitOps
- GitOps with OpenShift
- GitOps for Azure and AWS Deployments
- GitOps for Infrastructure Automation – Terraform and Flux CD
- Deploying Real-World Projects with GitOps on Kubernetes
- Observability with GitOps
- Security with GitOps
- FinOps, Sustainability, AI, and Future Trends for GitOps
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