Book Image

Kubernetes in Production Best Practices

By : Aly Saleh, Murat Karslioglu
Book Image

Kubernetes in Production Best Practices

By: Aly Saleh, Murat Karslioglu

Overview of this book

Although out-of-the-box solutions can help you to get a cluster up and running quickly, running a Kubernetes cluster that is optimized for production workloads is a challenge, especially for users with basic or intermediate knowledge. With detailed coverage of cloud industry standards and best practices for achieving scalability, availability, operational excellence, and cost optimization, this Kubernetes book is a blueprint for managing applications and services in production. You'll discover the most common way to deploy and operate Kubernetes clusters, which is to use a public cloud-managed service from AWS, Azure, or Google Cloud Platform (GCP). This book explores Amazon Elastic Kubernetes Service (Amazon EKS), the AWS-managed version of Kubernetes, for working through practical exercises. As you get to grips with implementation details specific to AWS and EKS, you'll understand the design concepts, implementation best practices, and configuration applicable to other cloud-managed services. Throughout the book, you’ll also discover standard and cloud-agnostic tools, such as Terraform and Ansible, for provisioning and configuring infrastructure. By the end of this book, you’ll be able to leverage Kubernetes to operate and manage your production environments confidently.
Table of Contents (12 chapters)

Tuning Kubernetes storage

At some point, we have all experienced and been frustrated by storage performance and the technical limitations of it. In this chapter, we will learn the fundamentals of Kubernetes storage, including storage primitives, creating static persistent volumes (PVs), and using storage classes to provision dynamic PVs to simplify management.

Understanding containerized stateful applications requires us to get into the cloud-native mindset. Although referred to as stateful, data used by pods is either accessed remotely or orchestrated and stored in Kubernetes as separate resources. Therefore, some flexibility is maintained to schedule applications across worker nodes and update when needed without losing the data. Before we get into the tuning, let's understand some of the basic storage primitives in Kubernetes.

Understanding storage primitives in Kubernetes

The beauty of Kubernetes is that every part of it is abstracted as an object that can be managed...