This book targets developers, IT professionals, SREs, and DevOps teams and engineers looking to manage, scale, and orchestrate applications in their organizations using Kubernetes. A basic understanding of Linux, Kubernetes, and containerization is required.
Kubernetes - A Complete DevOps Cookbook
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Kubernetes - A Complete DevOps Cookbook
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Overview of this book
Kubernetes is a popular open source orchestration platform for managing containers in a cluster environment. With this Kubernetes cookbook, you’ll learn how to implement Kubernetes using a recipe-based approach. The book will prepare you to create highly available Kubernetes clusters on multiple clouds such as Amazon Web Services (AWS), Google Cloud Platform (GCP), Azure, Alibaba, and on-premises data centers.
Starting with recipes for installing and configuring Kubernetes instances, you’ll discover how to work with Kubernetes clients, services, and key metadata. You’ll then learn how to build continuous integration/continuous delivery (CI/CD) pipelines for your applications, and understand various methods to manage containers. As you advance, you’ll delve into Kubernetes' integration with Docker and Jenkins, and even perform a batch process and configure data volumes. You’ll get to grips with methods for scaling, security, monitoring, logging, and troubleshooting. Additionally, this book will take you through the latest updates in Kubernetes, including volume snapshots, creating high availability clusters with kops, running workload operators, new inclusions around kubectl and more.
By the end of this book, you’ll have developed the skills required to implement Kubernetes in production and manage containers proficiently.
Table of Contents (12 chapters)
Preface
Building Production-Ready Kubernetes Clusters
Free Chapter
Operating Applications on Kubernetes
Building CI/CD Pipelines
Automating Tests in DevOps
Preparing for Stateful Workloads
Disaster Recovery and Backup
Scaling and Upgrading Applications
Observability and Monitoring on Kubernetes
Securing Applications and Clusters
Logging with Kubernetes
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