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The Kubernetes Bible

The Kubernetes Bible

By : Gineesh Madapparambath, Russ McKendrick
5 (1)
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The Kubernetes Bible

The Kubernetes Bible

5 (1)
By: Gineesh Madapparambath, Russ McKendrick

Overview of this book

Kubernetes has become the go-to orchestration platform for containerized applications. As a Kubernetes user, you know firsthand how powerful yet complex this tool can be. The Kubernetes Bible cuts through the complexity, offering hands-on examples and expert advice to conquer containerization challenges With this new edition, you will master cutting edge security practices, deploy seamlessly and scale effortlessly, ensuring unwavering service availability. You will gain the expertise to craft production-grade applications, secure development environments, navigate complex deployments with ease, and become a security maestro. You will be able to optimize network communication and data management across major cloud platforms. Additionally, this book dives deep into these challenges, offering solutions such as multi-container Pods, advanced security techniques, and expert networking guidance. You will also explore persistent storage advancements, cloud-specific cluster management updates, and best practices for traffic routing By the end of this comprehensive guide, you will possess the skills and knowledge to orchestrate your containerized applications with precision, ensuring their optimal performance and scalability. Stop settling for basic container management. Order your copy today and orchestrate your containers to greatness.
Table of Contents (24 chapters)
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22
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Index

Using Node taints and tolerations

Using the Node and inter-Pod affinity mechanism for scheduling Pods is very powerful, but sometimes you need a simpler way of specifying which Nodes should repel Pods. Kubernetes has two slightly older and simpler features for this purpose – taints and tolerations. You apply a taint to a given Node (which describes some kind of limitation) and the Pod must have a specific toleration defined to be schedulable on the tainted Node. If the Pod has a toleration, it does not mean that the taint is required on the Node. The definition of taint is “a trace of a bad or undesirable substance or quality,” and this reflects the idea pretty well – all Pods will avoid a Node if there is a taint set for them, but we can instruct Pods to tolerate a specific taint.

If you look closely at how taints and tolerations are described, you can see that you can achieve similar results with Node labels and Node hard and soft affinity...

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