Kubernetes enables dynamic scaling by allowing applications to adjust resources like pods and nodes according to real-time demand, facilitating seamless application performance.
Horizontal Pod Autoscaling (HPA) automatically modifies the number of pod replicas based on CPU utilization or other metrics, ensuring optimal resource usage.
Advanced scaling solutions like KEDA and Karpenter provide additional flexibility in Kubernetes, addressing varying load requirements and enhancing the overall efficiency of resource management.
Kubernetes’ scaling options accommodate a wide range of applications, from manual scaling for predictable workloads to sophisticated auto-scaling for variable demand.
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