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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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Chapter 10: Operating and Maintaining Efficient Kubernetes Clusters

In previous chapters, we learned about production best practices for automating Kubernetes and its infrastructure components. We discussed challenges with provisioning stateless workloads in our clusters, including getting persistent storage up and running, choosing container images, and deployment strategies. We also learned about important observability tools in the ecosystem and building monitoring and logging stacks in our cluster to provide a solid base for our troubleshooting needs. Once we have a production-ready cluster and have started to serve workloads, it is vital to have efficient operations to oversee the cluster maintenance, availability, and other service-level objectives (SLOs).

In this chapter, we will focus on Kubernetes operation best practices and cover topics related to cluster maintenance, such as upgrades and rotation, backups, disaster recovery and avoidance, cluster and troubleshooting...

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