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Kubernetes in Production Best Practices

Kubernetes in Production Best Practices

By : Saleh, Karslioglu
5 (9)
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Kubernetes in Production Best Practices

Kubernetes in Production Best Practices

5 (9)
By: Saleh, 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)
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Kubernetes configuration management

The beauty of Kubernetes is that every part of it is abstracted as an object that can be managed and configured declaratively with YAML or JSON through its API server. This makes Kubernetes configuration easier to manage as code. However, it is still challenging to manage this configuration when you have groups of clusters that run hundreds of add-ons and services.

Imagine a scenario where you manage a company's infrastructure with Kubernetes, and you have multiple clusters for development, testing, and production. Add to them the cluster add-ons that run on the Kubernetes services layer as per the following diagram:

Figure 4.1 – Kubernetes infrastructure layers

This means that you can have N clusters with a growing number of add-ons and different environment types, such as development, QA, and production. If we put these together, we end up with a complex and redundant configuration to manage.

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