Kubernetes is the backbone of modern containerized infrastructure—but scaling it efficiently remains a challenge. Kubernetes Autoscaling equips cloud professionals with a comprehensive guide to dynamically scaling applications and infrastructure using the powerful combination of KEDA (Kubernetes Event-Driven Autoscaler) and Karpenter, AWS’s next-generation cluster autoscaler.
This hands-on book helps DevOps engineers, SREs, and architects understand and implement practical autoscaling strategies to improve performance, reduce cloud costs, and eliminate over-provisioning. You’ll begin with autoscaling fundamentals, explore HPA and VPA, then dive deep into KEDA for event-driven workloads and Karpenter for data plane scaling. Real-world use cases, best practices, and detailed patterns ensure readers can deploy resilient, scalable, and cost-effective Kubernetes clusters across production environments.

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Spis treści

Kubernetes Autoscaling. Building Efficient and Cost-Optimized Clusters with KEDA and Karpenter eBook -- spis treści

• 1. Introduction to Kubernetes Autoscaling
• 2. Workload Autoscaling Overview
• 3. Workload Autoscaling with HPA and VPA
• 4. Kubernetes Event-Driven Autoscaling (KEDA)
• 5. KEDA in Action on AWS EKS
• 6. Metrics, Monitoring, and Observability
• 7. Data Plane Autoscaling Overview
• 8. Getting Started with Karpenter
• 9. Karpenter on AWS
• 10. Karpenter Management Operations
• 11. Practical Use Cases
• 12. Patterns and Best Practices