Book Image

The Kubernetes Bible

By : Nassim Kebbani, Piotr Tylenda, Russ McKendrick
4 (3)
Book Image

The Kubernetes Bible

4 (3)
By: Nassim Kebbani, Piotr Tylenda, Russ McKendrick

Overview of this book

With its broad adoption across various industries, Kubernetes is helping engineers with the orchestration and automation of container deployments on a large scale, making it the leading container orchestration system and the most popular choice for running containerized applications. This Kubernetes book starts with an introduction to Kubernetes and containerization, covering the setup of your local development environment and the roles of the most important Kubernetes components. Along with covering the core concepts necessary to make the most of your infrastructure, this book will also help you get acquainted with the fundamentals of Kubernetes. As you advance, you'll learn how to manage Kubernetes clusters on cloud platforms, such as Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP), and develop and deploy real-world applications in Kubernetes using practical examples. Additionally, you'll get to grips with managing microservices along with best practices. By the end of this book, you'll be equipped with battle-tested knowledge of advanced Kubernetes topics, such as scheduling of Pods and managing incoming traffic to the cluster, and be ready to work with Kubernetes on cloud platforms.
Table of Contents (28 chapters)
1
Section 1: Introducing Kubernetes
5
Section 2: Diving into Kubernetes Core Concepts
12
Section 3: Using Managed Pods with Controllers
17
Section 4: Deploying Kubernetes on the Cloud
21
Section 5: Advanced Kubernetes

Chapter 10: Running Production-Grade Kubernetes Workloads

In the previous chapters, we have focused on containerization concepts and the fundamental Kubernetes building blocks, such as Pods, Jobs, and ConfigMaps. Our journey so far has covered mostly single-machine scenarios, where the application requires only one container host or Kubernetes Node. For production-grade Kubernetes container workloads, you have to consider different aspects, such as scalability, high availability (HA), and load balancing, and this always requires orchestrating containers running on multiple hosts.

Briefly, container orchestration is a way of managing multiple containers' life cycles in large, dynamic environments—this can range from provisioning and deploying containers to managing networks, providing redundancy and HA of containers, automatically scaling up and down container instances, automated health checks, and telemetry (log and metrics) gathering. Solving the problem of efficient...