Whether it's pods, nodes, or something entirely new, let's gather to talk about the state of the art with autoscaling in Kubernetes. This meetup is focused on discussing autoscaling technology and projects within the Kubernetes community. Kubernetes autoscaling isn’t just about handling traffic spikes. Efficient autoscaling means your infrastructure matches actual demand, scaling to zero when possible and provisioning exactly what you need when load increases. We will gather topics on the day of the meetup and then have discussions based on the desires of the group. Topics for discussion might include:

• Is Karpenter better than the Cluster Autoscaler?
• How to choose the right metric to scale? Is there a right metric?
• How can KEDA be tuned for LLM workloads?
• Will we see a predictive AI-based autoscaler in the near future?
• What are the day-2 operations for autoscaling?
• What are the do’s and don’ts we should think about?