Overview
Learn to scale workloads efficiently, reduce cloud costs, and optimize performance with real-world strategies for event-driven and infrastructure-level scaling Key Features Autoscale Kubernetes workloads and infrastructure using KEDA and Karpenter Improve performance, reduce cloud costs, and eliminate resource waste with smarter scaling Work with hands-on labs, real-world use cases, and step-by-step guidance from the creator of Karpenter Blueprints Free with your book: PDF Copy, AI Assistant, and Next-Gen Reader Book DescriptionKubernetes 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.What you will learn Gain a solid foundation in Kubernetes autoscaling and its components Scale deployments, jobs, and StatefulSets using KEDA's CRDs Configure event-based scaling strategies using metrics and schedules Deploy and manage Karpenter for on-demand infrastructure provisioning Explore advanced node disruption and lifecycle techniques Combine KEDA and Karpenter to implement full-stack autoscaling Optimize costs using Spot Instances, scale-to-zero, and workload placement Apply real-world patterns and monitor autoscaling performance in production Who this book is forThis book is ideal for DevOps engineers, SREs, cloud architects, and Kubernetes professionals who want to optimize resource usage and improve scalability. A basic understanding of Kubernetes concepts and cloud environments, i.e., AWS, GCP, and Azure, is assumed.
Full Product Details
Author: Christian Melendez ,
Jonathan Innis ,
Brandon Wagner ,
Jan Wozniak
Publisher: Packt Publishing Limited
Imprint: Packt Publishing Limited
ISBN: 9781836643838
ISBN 10: 1836643837
Pages: 420
Publication Date: 05 December 2025
Audience:
Professional and scholarly
,
Professional & Vocational
Format: Paperback
Publisher's Status: Forthcoming
Availability: In Print
Limited stock is available. It will be ordered for you and shipped pending supplier's limited stock.
Author Information
Christian Melendez is Principal Specialist Solutions Architect and EMEA Lead for Compute at AWS, with a strong background in Kubernetes platform engineering. He has been working with Kubernetes since 2017, helping large enterprises—including telecommunications, airline, and ride-hailing companies—optimize their workloads. Christian is the creator of the Karpenter Blueprints project and an active contributor to autoscaling solutions in the cloud-native space. He frequently delivers talks and workshops on Karpenter and Kubernetes optimization strategies.
