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The Kubernetes Bible

The Kubernetes Bible

By : Gineesh Madapparambath, Russ McKendrick
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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
23
Index

Summary

In this chapter, you have learned about autoscaling techniques in Kubernetes clusters. We first explained the basics behind Pod resource requests and limits and why they are crucial for the autoscaling and scheduling of Pods.

Next, we introduced the VPA, which can automatically change requests and limits for Pods based on current and past metrics. After that, you learned about the HPA, which can be used to automatically change the number of Deployment or StatefulSet replicas. The changes are done based on CPU, memory, or custom metrics. Lastly, we explained the role of the CA in cloud environments. We also demonstrated how to efficiently combine the HPA with the CA to achieve the scaling of your workload together with the scaling of the cluster.

There is much more that can be configured in the VPA, HPA, and CA, so we have just scratched the surface of powerful autoscaling in Kubernetes! We also mentioned alternative Kubernetes autoscalers such as KEDA and Karpenter...

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