Autoscaling

Autoscaling in Kubernetes (KCNA) 

 

 

 Horizontal Pod Autoscaler (HPA): 

 

 Scales Pods based on resource utilization (CPU, memory, custom metrics). 

 Monitors and adjusts Pod replicas dynamically. 

 

 

 

 Vertical Pod Autoscaler (VPA): 

 

 Adjusts resource requests/limits (CPU, memory) for Pods. 

 Optimizes resource allocation for individual Pods. 

 

 

 

 Cluster Autoscaler: 

 

 Scales nodes in a cluster up or down based on resource demands. 

 Adds/removes nodes when Pods can't be scheduled due to resource constraints. 

 

 

 

 Custom Metrics Autoscaler: 

 

 Scales based on custom metrics (e.g., application performance metrics). 

 

 

 

 Scaling Policies: 

 

 Define minimum and maximum replica limits. 

 Set scaling thresholds (e.g., CPU, memory utilization).