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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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Securing workloads and apps

Kubernetes provides different built-in and third-party solutions to ensure that your production workloads are running securely. We will explore what we regard as a must-have for your cluster before going to production, such as workload isolation techniques, pod security policies, network policies, and monitoring workload runtime security.

Isolating critical workloads

Kubernetes, by design, has a single control plane for each cluster, which makes sharing a single cluster among tenants and workloads challenging, and requires the cluster owners to have a clear strategy about cluster multi-tenancy and resource sharing.

There are different use cases where it is critical to address tenant and workload isolation:

  • In many organizations, there are multiple teams, products, or environments that share a cluster.
  • There are cases where you provide Kubernetes as a service for your own organization or external organizations.
  • Also, there is a...

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