Introduction to KEDA and Event-Driven Autoscaling
How KEDA extends Kubernetes HPA with 65+ scalers, scale-to-zero, and a two-phase architecture for event-driven pod autoscaling.
by KubeDojo
autoscaling
6 posts
Custom Metrics and Prometheus-Based Scaling with KEDA
Using KEDA's Prometheus scaler to drive autoscaling from any PromQL query — replacing Prometheus Adapter with a simpler, more flexible approach.
by KubeDojo
HTTP-Based Autoscaling with the KEDA HTTP Add-on
How the KEDA HTTP Add-on intercepts traffic to scale HTTP workloads to zero, and when the Prometheus scaler is better.
by KubeDojo
KEDA and Karpenter Together — Pod and Node Scaling Synergy
Combining KEDA's event-driven pod scaling with Karpenter's just-in-time node provisioning for a fully reactive, cost-efficient Kubernetes autoscaling stack.
by KubeDojo
Production LLM Serving on Kubernetes: vLLM + KServe Stack
Deploy vLLM with KServe on Kubernetes: InferenceService CRD, KEDA autoscaling on queue depth, and distributed KV cache with LMCache for production inference.
by KubeDojo
What Is Karpenter and Why It Replaced Cluster Autoscaler
How Karpenter's groupless, pod-driven provisioning model solves the scaling limitations that plagued Kubernetes Cluster Autoscaler for years.
by KubeDojo