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Kubernetes - A Complete DevOps Cookbook

Kubernetes - A Complete DevOps Cookbook

By : Karslioglu
4.5 (4)
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Kubernetes - A Complete DevOps Cookbook

Kubernetes - A Complete DevOps Cookbook

4.5 (4)
By: Karslioglu

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)
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What this book covers

Chapter 1, Building Production-Ready Kubernetes Clusters, teaches you how to configure Kubernetes services on different public clouds or on-premises using the popular options available today.

Chapter 2, Operating Applications on Kubernetes, teaches you how to deploy DevOps tools and continuous integration/continuous deployment (CI/CD) infrastructure on Kubernetes using the most popular life cycle management options.

Chapter 3, Building CI/CD Pipelines, teaches you how to build, push, and deploy applications from development to production and also ways to detect bugs, anti-patterns, and license concerns during the process.

Chapter 4, Automating Tests in DevOps, teaches you how to automate testing in a DevOps workflow to accelerate time to production, reduce loss-of-delivery risks, and detect service anomalies using known test automation tools in Kubernetes.

Chapter 5, Preparing for Stateful Workloads, teaches you how to protect the state of applications from node or application failures, as well as how to share data and reattach volumes.

Chapter 6, Disaster Recovery and Backup, teaches you how to handle backup and disaster recovery scenarios to keep applications in production highly available and quickly recover service during cloud-provider or basic Kubernetes node failures.

Chapter 7, Scaling and Upgrading Applications, teaches you how to dynamically scale containerized services on running on Kubernetes to handle the changing traffic needs of your service.

Chapter 8, Observability and Monitoring on Kubernetes, teaches you how to monitor metrics for performance analysis and also how to monitor and manage the real-time cost of Kubernetes resources.

Chapter 9, Securing Applications and Clusters, teaches you how to build DevSecOps into CI/CD pipelines, detect metrics for performance analysis, and securely manage secrets and credentials.

Chapter 10, Logging on Kubernetes, teaches you how to set up a cluster to ingest logs, as well as how to view them using both self-managed and hosted solutions.

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