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  • Book Overview & Buying Kubernetes Autoscaling
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Kubernetes Autoscaling

Kubernetes Autoscaling

By : Christian Melendez
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Kubernetes Autoscaling

Kubernetes Autoscaling

By: Christian Melendez

Overview of this book

Kubernetes is the backbone of modern containerized infrastructure, but scaling it efficiently remains a challenge. Kubernetes Autoscaling equips cloud professionals with this comprehensive guide to dynamically scaling applications and infrastructure using the powerful combination of Kubernetes Event-Driven Autoscaler (KEDA) and Karpenter, AWS’s next-generation cluster autoscaler. You’ll begin with autoscaling fundamentals, move through HPA and VPA, and then get hands-on KEDA for event-driven workloads and Karpenter for data plane scaling. With the help of real-world use cases, best practices, and detailed patterns, you’ll deploy resilient, scalable, and cost-effective Kubernetes clusters across production environments. By the end of this book, you’ll be able to implement practical autoscaling strategies to improve performance, reduce cloud costs, and eliminate over-provisioning.
Table of Contents (20 chapters)
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1
Part 1: Getting started with Kubernetes Autoscaling
5
Part 2: Workload Autoscaling and KEDA
9
Part 3: Node Autoscaling and Karpenter
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14
Part 4: Use Cases, Patterns, and Recommendations
18
Other Books You May Enjoy
19
Index

Node Autoscaling and Karpenter

So far, we’ve focused on scaling workloads by adding and removing pods based on demand. However, you can have KEDA configured to automatically create new pods; it won’t matter if there’s nowhere for your pods to run. This is where node autoscaling comes in.

Node autoscaling is the other half of the equation. When your workload autoscaling creates new pods that can’t be scheduled because your cluster is at capacity, you need a way to add nodes. And when those pods get removed and you’re left with underutilized nodes, you need a way to consolidate and remove them to stop wasting resources. This is what tools such as Cluster Autoscaler and Karpenter do: they manage the infrastructure layer so your workload autoscaling can actually work.

We’ll start with Cluster Autoscaler, which has been around for years and is still what most teams use. You’ll learn how it works, how to set it up properly (especially...

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Kubernetes Autoscaling
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