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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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Summary

In this chapter, we explored the components of container images, best practices for creating container images, and choosing the right base image type. We reduced our container image size by removing unnecessary files and using multistage builds. We learned how to scan our container images for vulnerabilities proactively. We learned about application deployment strategies to test and roll out new features and releases of our applications. We created an HPA to scale our applications. All the recommendations and best practices mentioned in this chapter help us reduce the attack surface and increase stability to improve efficiency in our production environment.

In the next chapter, we will learn about Kubernetes observability and key metrics to monitor in production. We will learn about the tools and stacks to use or build, compare the best tools in the ecosystem, and learn how to deal with observability from a site reliability perspective.

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