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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

Autoscaling Kubernetes Pods and Nodes

Needless to say, having autoscaling capabilities for your cloud-native application is considered the holy grail of running applications in the cloud. In short, by autoscaling, we mean a method of automatically and dynamically adjusting the amount of computational resources, such as CPU and RAM, available to your application. The goal of autoscaling is to add or remove resources based on the activity and demand of end users. So, for example, an application might require more CPU and RAM during daytime hours, when users are most active, but much less during the night. Similarly, for example, if you are supporting an e-commerce business infrastructure, you can expect a huge spike in demand during so-called Black Friday. In this way, you can not only provide a better, highly available service to users but also reduce your cost of goods sold (COGS) for the business. The fewer resources you consume in the cloud, the less you pay, and the business can...

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