Kubernetes Autoscaling

<p><strong>Learn to scale workloads efficiently reduce cloud costs and optimize performance with real-world strategies for event-driven and infrastructure-level scaling</strong></p><p><strong>Key Features:</strong></p><p>- Autoscale Kubernetes workloads and infrastructure using KEDA and Karpenter</p><p>- Improve performance reduce cloud costs and eliminate resource waste with smarter scaling</p><p>- Work with hands-on labs real-world use cases and step-by-step guidance from the creator of Karpenter Blueprints</p><p>- Free with your book: PDF Copy AI Assistant and Next-Gen Reader</p><p><strong>Book Description:</strong></p><p>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.</p><p>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.</p><p>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.</p><p><strong>What You Will Learn:</strong></p><p>- Gain a solid foundation in Kubernetes autoscaling and its components</p><p>- Scale deployments jobs and StatefulSets using KEDA's CRDs</p><p>- Configure event-based scaling strategies using metrics and schedules</p><p>- Deploy and manage Karpenter for on-demand infrastructure provisioning</p><p>- Explore advanced node disruption and lifecycle techniques</p><p>- Combine KEDA and Karpenter to implement full-stack autoscaling</p><p>- Optimize costs using Spot Instances scale-to-zero and workload placement</p><p>- Apply real-world patterns and monitor autoscaling performance in production</p><p><strong>Who this book is for:</strong></p><p>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.</p><p><strong>Table of Contents</strong></p><p>- Introduction to Kubernetes Autoscaling</p><p>- Workload Autoscaling Overview</p><p>- Workload Autoscaling with HPA and VPA</p><p>- Kubernetes Event-Driven Autoscaling (KEDA)</p><p>- KEDA in Action on AWS EKS</p><p>- Metrics Monitoring and Observability</p><p>- Data Plane Autoscaling Overview</p><p>- Getting Started with Karpenter</p><p>- Karpenter on AWS</p><p>- Karpenter Management Operations</p><p>- Practical Use Cases</p><p>- Patterns and Best Practices</p>