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).