Therefore, to optimize and automate this process, Kubernetes provides a new resource called horizontal pod autoscaler HPA. Manually setting the number of pod replicas to a fixed predetermined number might not meet the application workload demand over time. In Kubernetes, you can run multiple replicas of application pods using ReplicaSet (Replication Controller) by configuring the number of replica counts in the Deployment object. Horizontal Pod Autoscaler (HPA) Overview HPA vs VPA autoscaling Another reason is that accurate resource optimization requires advanced data aggregation methods and machine learning technology provided by advanced commercial software not yet available in open source form. A second reason is that the Kubernetes autoscaling functionality does not account for disk I/O and network and storage usage resulting in poor allocation. One reason is that users often request (or reserve) more CPU and memory resources for individual containers than they use. For now, it’s worth noting that Kubernetes autoscaling can still result in resource waste. We cover the Kubernetes autoscaling limitations in the last section of this article. Specifically, we’ll explore what horizontal pod autoscaling is, how it works, and provide some examples of using HPA for autoscaling application pods on Kubernetes clusters. In this article, we’ll take an in-depth look at the first of these three, HPA. Cluster Autoscaling can dynamically add and remove worker nodes when a pod is pending scheduling or if the cluster needs to shrink to fit the current number of pods. Cluster Autoscaling A type of autoscaling commonly supported on cloud provider versions of Kubernetes. VPA is more related to capacity planning than other forms of K8s autoscaling.

Vertical Pod Autoscaling (VPA) A Kubernetes functionality to right-size the deployment pods and avoid resource usage problems on the cluster. To enable dynamic scaling, Kubernetes supports three primary forms of autoscaling: Horizontal Pod Autoscaling (HPA) A Kubernetes functionality to scale out (increase) or scale in (decrease) the number of pod replicas automatically based on defined metrics. One of the main advantages of using Kubernetes as a container orchestrator is the dynamic scaling of container pods. Kubernetes (K8s) is the most popular platform for orchestrating and managing these container clusters at scale. Today, application deployments often use multiple container instances in parallel.

What is kubernetes hpa