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)

Scaling applications and achieving higher availability

The Kubernetes container orchestration platform provides a wide range of functionality to help us deploy our applications in a scalable and highly available way. When designing architecture that will support horizontally scalable services and applications, we need to be aware of some common strategies that will help to successfully scale our applications on Kubernetes clusters.

In the previous section, Learning application deployment strategies, we covered some strategies that would help us to scale our applications, including deployment strategies and implementing health checks using container probes. In this section, we will learn about scaling applications using the Horizontal Pod Autoscaler (HPA).

When we first deploy our application on Kubernetes clusters, applications will very likely not get accessed immediately and usage will gradually increase over time. In that case, rolling out a deployment with many replicas...