Book Image

Kubernetes - A Complete DevOps Cookbook

By : Murat Karslioglu
Book Image

Kubernetes - A Complete DevOps Cookbook

By: Murat 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)
Observability and Monitoring on Kubernetes

In this chapter, we will discuss the built-in Kubernetes tools and the popular third-party monitoring options for your containerized DevOps environment. You will learn how to monitor metrics for performance analysis, and also how to monitor and manage the real-time cost of Kubernetes resources.

By the end of this chapter, you should have knowledge of the following:

  • Monitoring in Kubernetes
  • Inspecting containers
  • Monitoring using Amazon CloudWatch
  • Monitoring using Google Stackdriver
  • Monitoring using Azure Monitor
  • Monitoring Kubernetes using Prometheus and Grafana
  • Monitoring and performance analysis using Sysdig
  • Managing the cost of resources using Kubecost