Kubernetes Autoscaling : Build efficient, cost-optimized clusters with KEDA and Karpenter
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 elim...
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| Hlavní autor: | |
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| Další autoři: | , , |
| Médium: | Livre numérique |
| Jazyk: | Anglais |
| Vydáno: |
Birmingham :
Packt Publishing
2025.
Paris : Cyberlibris |
| On-line přístup: | Accès Université d'Orléans et IFPM |
| Poznámka: |
Couverture. https://static2.cyberlibris.com/books_upload/300pix/9781836643821.jpg Cyberlibris (ScholarVox) corpus Informatique |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Kubernetes Autoscaling, Build efficient, cost-optimized clusters with KEDA and Karpenter, Christian Melendez, [Forewords by Jonathan Innis, Brandon Wagner, Jan Wozniak], Birmingham, Packt Publishing, 2025, 1 vol. (421 p.), 978-18-3664-383-8 |
| Shrnutí: | 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. 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 Stateful; Sets 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 |
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| Popis jednotky: | Couverture. https://static2.cyberlibris.com/books_upload/300pix/9781836643821.jpg Cyberlibris (ScholarVox) corpus Informatique |
| ISBN: | 9781836643821 |
| Přístup: | L'accès en ligne est réservé aux établissements ou bibliothèques ayant souscrit l'abonnement. Cyberlibris |