Scaling Kubernetes with Karpenter: Advanced Scheduling with Pod Affinity & Volume Topology Awareness

One feature that draws people to Kubernetes is its ability to scale automatically. Auto-scaling Kubernetes is an essential part of your cloud-native strategy. In addition, you may be dealing with use cases requiring advanced Kubernetes scheduling requirements like pod affinity, pod anti-affinity, and volume topology awareness. In this video, I'll show you how to automatically scale the compute resources of an Amazon EKS cluster using Karpenter, with a focus on meeting scheduling requirements with Kubernetes features like inter-pod affinity and dynamic provisioning of volumes for your container workloads. #kubernetes #podscheduling #autoscaling https://karpenter.sh/ https://aws.amazon.com/blogs/containe... https://aws.amazon.com/blogs/aws/intr... https://github.com/aws-ia/terraform-a... https://aws.github.io/aws-eks-best-pr... Timestamps: 00:00 - Introduction 00:06 - Overview 00:47 - Pod affinity and pod anti-affinity in Kubernetes 01:22 - Topology of your Kubernetes cluster 01:41 - The pod affinity rule 01:57 - The pod anti-affinity rule 02:06 - Use cases for pod affinity and pod anti-affinity 03:11 - Demo for scaling Amazon EKS cluster with Karpenter and workloads with pod affinity rules 11:31 - Demo for scaling Amazon EKS cluster with Karpenter and workloads with pod anti-affinity rules 16:23 - Dynamic provisioning of volumes and volume topology awareness in Kubernetes 18:48 - Demo for dynamic provisioning of volumes and volume topology awareness in Kubernetes for a statefulset workload Connect: GitHub: https://github.com/LukeMwila Twitter:   / luke9ine   Medium:   / outlier.developer   LinkedIn:   / lukonde-mwila-25103345   If you found this video helpful, please like the video and subscribe to the channel!