Kubernetes Autoscaling
Build efficient, cost-optimized clusters with KEDA and Karpenter
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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 Description: Kubernetes is the backbone of modern containerized infr...
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 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: - 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 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. Table of Contents - Introduction to Kubernetes Autoscaling - Workload Autoscaling Overview - Workload Autoscaling with HPA and VPA - Kubernetes Event-Driven Autoscaling (KEDA) - KEDA in Action on AWS EKS - Metrics, Monitoring, and Observability - Data Plane Autoscaling Overview - Getting Started with Karpenter - Karpenter on AWS - Karpenter Management Operations - Practical Use Cases - Patterns and Best Practices
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