Horizontal Pod Autoscaling manages Pod scaling based on resource utilization.

Cluster Autoscaling ensures the appropriate number of nodes are available to meet workload demands.

Stateful workloads require careful scaling strategies to preserve data integrity.

High availability is achieved by distributing workloads and ensuring redundancy in cluster components.