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)

Summary

In this chapter, we explored important Kubernetes metrics and learned about the SRE best practices for maintaining higher availability. We learned how to get a Prometheus and Grafana-based monitoring and visualization stack up and running and added custom application dashboards to our Grafana instance. We also learned how to get Elasticsearch, Kibana, and Fluent Bit-based ECK logging stacks up and running on our Kubernetes cluster.

In the next and final chapter, we will learn about Kubernetes operation best practices. We will cover cluster maintenance topics such as upgrades and rotation, disaster recovery and avoidance, cluster and application troubleshooting, quality control, continuous improvement, and governance.