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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
Other Books You May Enjoy
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Index

Pod resource requests and limits

Before we dive into the topics of autoscaling in Kubernetes, we need to get a bit more of an understanding of how to control the CPU and memory resource (known as compute resources) usage by using Pod containers in Kubernetes. Controlling the use of compute resources is important since, in this way, it is possible to enforce resource governance – this allows better planning of the cluster capacity and, most importantly, prevents situations when a single container can consume all compute resources and prevent other Pods from serving the requests.

When you create a Pod, it is possible to specify how much of the compute resources its containers require and what the limits are in terms of permitted consumption. The Kubernetes resource model provides an additional distinction between two classes of resources: compressible and incompressible. In short, a compressible resource can be easily throttled, without severe consequences.

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