Are traditional Kubernetes autoscaling methods slowing you down? Say hello to Karpenter, the open source alternative redefining Cluster Autoscaler functionality. What You'll Learn in This Video:
- Key Challenges β Explore the limitations of conventional autoscaling approaches.
- Karpenter Overview β Understand its Custom Resource Definitions (CRDs), including NodeClass, NodePool, and NodeClaim, and how they enhance Kubernetes scaling.
- Optimized Performance β Learn how Karpenter cuts cloud provisioning delays and intelligently optimizes node usage for cost-effective operations.
- Cloud Provider Support β Seamless integration with AWS, Azure, Alibaba Cloud, and more.
- Hands-On Demos β Navigate real-world scenarios by defining instance requirements, managing resources, and uncovering insights with Karpenter's observability tools.
Whether you're a developer, Kubernetes enthusiast, or DevOps professional, this session will empower you with practical knowledge to overcome autoscaling challenges. From simplified configuration to real-time performance monitoring, Karpenter is your next step toward scalable, sustainable Kubernetes operations.
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π Chapters π
00:00 Introduction
08:17 Karpenter overview
13:55 NodePool CRD
20:03 Observability with Karpenter
29:58 Conclusion
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π Additional Links
Karpenter
Cluster Api provider
Azure Provider
AlibabaCloud provider
GitHub tutorial
Blog
Dynatrace Trial
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