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 – Explore the limitations of conventional autoscaling approaches.
* Karpenter Overview – Understand its Custom Resource Definitions (CRDs), including NodeClass, NodePool, and NodeClaim, and how they enhance Kubernetes scaling.
* Optimized Performance – Learn how Karpenter cuts cloud provisioning delays and intelligently optimizes node usage for cost-effective operations.
* Cloud Provider Support – Seamless integration with AWS, Azure, Alibaba Cloud, and more.
* Hands-On Demos – 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.
🔗 Useful links
Follow the GitHub tutorial about Karpenter: https://dt-url.net/wm03w47
Read the blog post about Karpenter: https://dt-url.net/mx03wzi
Karpenter :https://karpenter.sh
Cluster Api provider : https://github.com/kubernetes-sigs/karpenter-provider-cluster-api
Azure Provider : https://github.com/Azure/karpenter-provider-azure
AlibabaCloud provider: https://github.com/cloudpilot-ai/karpenter-provider-alibabacloud
Dynatrace trial: https://dt-url.net/trial
📖 Chapters 📖
-----------------------------
00:00 Introduction
08:17 Karpenter overview
13:55 NodePool CRD
20:03 Observability with Karpenter
29:58 Conclusion
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🔬 Want to learn more about tools that the cloud-native pros use? Check out the full list of my favorites over here on this YouTube playlist: https://www.youtube.com/playlist?list=PL6VBQyIvTlRjAMeeZN5yfD07X8DdYonnI
Check out ALL my observability secrets, tips, and tricks in my blog: https://isitobservable.io/
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