Chapter 1, Introduction to Kubernetes, is a brief overview of containers and the how, what, and why of Kubernetes orchestration, exploring how it impacts your business goals and everyday operations.
Chapter 2, Building a Foundation with Core Kubernetes Constructs, uses a few simple examples to explore core Kubernetes constructs, namely pods, services, replication controllers, replica sets, and labels. Basic operations, including health checks and scheduling, will also be covered.
Chapter 3, Working with Networking, Load Balancers, and Ingress, covers cluster networking for Kubernetes and the Kubernetes proxy. It also takes a deeper dive into services, and shows a brief overview of some higher-level isolation features for multi-tenancy.
Chapter 4, Implementing Reliable, Container-Native Applications, covers both long-running application deployments and short-lived jobs. We will also look at using DaemonSets to run containers on all or subsets of nodes in the cluster.
Chapter 5, Exploring Kubernetes Storage Concepts, covers storage concerns and persistent data across pods and the container life cycle. We will also look at new constructs for working with stateful applications in Kubernetes.
Chapter 6, Application Updates, Gradual Rollouts, and Autoscaling, is a quick look at how to roll out updates and new features with minimal disruption to uptime. We will also look at scaling for applications and the Kubernetes cluster.
Chapter 7, Designing for Continuous Integration and Delivery, explains how to integrate Kubernetes into your continuous delivery pipeline. We will see how to use a K8s cluster with gulp.js and Jenkins as well.
Chapter 8, Monitoring and Logging, teaches how to use and customize built-in and third-party monitoring tools on your Kubernetes cluster. We will look at built-in logging and monitoring, the Google Cloud Monitoring/Logging service, and Sysdig.
Chapter 9, Operating Systems, Platforms, and Cloud and Local Providers, starts off by covering Open Container Project and its mission to provide an open container specification, looking at how having open standards encourages a diverse ecosystem of container implementations (such as Docker, rkt, Kurma, and JetPack). The second half of this chapter will cover available OSes, such as CoreOS, Project Atomic, and their advantages as a host OSes, including performance and support for various container implementations.
Chapter 10, Designing for High Availability and Scalability, uncovers the Kubernetes Workload capability, which allows us to leverage all App Workload APIs, such as the DaemonSet, Deployment, ReplicaSet, and StatefulSet APIs, in order to create foundations for long-running, stateless, and stateful workloads. We will describe and implement admission control to validate and/or mutate objects within the cluster.
Chapter 11, Kubernetes SIGs, Incubation Projects, and the CNCF, discusses the new globally distributed collaboration model of Kubernetes and its partner projects. We'll describe the three tiers of organization around SIGs, the different between incubating and graduated projects, and how the CNCF is evolving the idea of an open source project into a distributed foundation.
Chapter 12, Cluster Federation and Multi-Tenancy, explores the new federation capabilities and how to use them to manage multiple clusters. We will also cover the federated version of the core constructs and the integration to public cloud vendor DNS.
Chapter 13, Cluster Authentication, Authorization, and Container Security, gets into the options for container security, from the container run-time level to the host itself. We will discuss how to apply these concepts to workloads running in a Kubernetes cluster and some of the security concerns and practices that relate specifically to running your Kubernetes cluster.
Chapter 14, Hardening Kubernetes, and How to Find Out More about Third-Party Extensions and Tools, covers some of the extensions available from vendors for enterprise-grade deployments. Additionally, we'll look at a brief survey of some of the existing tools and services that work with Kubernetes for monitoring, security, and storage.
Chapter 15, Kubernetes Infrastructure Management, focuses on how to make changes to the infrastructure that powers your Kubernetes infrastructure, whether it be a purely public cloud platform or a hybrid installation. We'll discuss methods for handling underlying instance and resource instability, and strategies for running highly available workloads on partially available underlying hardware.