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Melendez C Kubernetes Autoscaling Build efficient,cost-optimized clusters 2025 | 10.75 MB
Title: Kubernetes Autoscaling
Author: Christian Melendez
Description:
Learn to scale workloads efficiently, reduce cloud costs, and optimize performance with real-world strategies for event-driven and infrastructure-level scaling
Key Features
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[*]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
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Book Description
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.
What you will learn
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[*]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
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Who this book is for
This 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.
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