What this book covers

Chapter 1, Introduction to DevOps, walks you through the evolution from the past to what we call DevOps today, and the tools that you should know in this field. Demand for people with DevOps skills has been growing rapidly over the last few years. DevOps practices have accelerated software development and delivery speed, as well as helping business agility.

Chapter 2, DevOps with Containers, helps you learn the fundamentals of working with containers. With the increasing trend toward microservices, containers are a handy and essential tool for every DevOps practitioner because of the agility they bring to managing heterogeneous services in an uniform way.

Chapter 3, Getting Started with Kubernetes, explores the key components and API objects in Kubernetes, and how to deploy and manage containers in a Kubernetes cluster. 

Chapter 4, Managing Stateful Workloads, describes pod controllers for different workloads, along with the volume management feature for maintaining the state of an application.

Chapter 5, Cluster Administration and Extension, navigates you through the access control features of Kubernetes, and looks at the built-in admission controllers that provide finer granularity of control over your cluster. Furthermore, we'll also learn how to build our own custom resource to extend the cluster with customized features. 

Chapter 6, Kubernetes Network, explains how default networking and routing rules work in Kubernetes. We'll also learn how to expose HTTP and HTTPS routes for external access. At the end of this chapter, the network policy and service mesh features are also introduced for better resiliency.

Chapter 7, Monitoring and Logging, shows you how to monitor a resource's usage at the application, container, and node levels using Prometheus. This chapter also shows how to collect logs from your applications, the service mesh, and Kubernetes with Elasticsearch, Fluent-bit/Fluentd, and the Kibana stack. Ensuring the service is up and healthy is one of the major responsibilities of DevOps.

Chapter 8, Resource Management and Scaling, describes how to leverage the core of Kubernetes, the scheduler, to scale the application dynamically, thereby efficiently utilizing the resources of our cluster.

Chapter 9, Continuous Delivery, explains how to build a continuous delivery pipeline with GitHub/DockerHub/TravisCI. It also explains how to manage updates, eliminate the potential impact when doing rolling updates, and prevent possible failure. Continuous delivery is an approach to speed up your time-to-market.

Chapter 10, Kubernetes on AWS, walks you through AWS components and explains how to provision a cluster with the AWS-hosted Kubernetes service—EKS. EKS provides lots of integration with existing AWS services. We'll learn how to utilize those features in this chapter.

Chapter 11, Kubernetes on GCP, helps you learn the concept of GCP and how to run your applications in GCP's Kubernetes service offering—Google Kubernetes Engine (GKE). GKE has the most native support for Kubernetes. We'll learn how to administer GKE in this chapter.

Chapter 12, Kubernetes on Azure, describes basic Azure components, such as Azure virtual network, Azure virtual machines, disk storage options, and much more. We'll also learn how to provision and run a Kubernetes cluster with Azure Kubernetes Service.