News Red Sky Ops ML Engine Tunes Kubernetes HPA By John K. Waters November 2, 2020 Carbon Relay has announced some key enhancements of its flagship artificial intelligence for IT operations (AIOps) ...

The autoscalers enhance performance and reliability, while reducing risk of out-of-memory (OOM) errors and CPU throttling at low resource cost. “Despite using the HPA, Kubernetes over-provisioning is ...

While HPA is commonly adopted by Kubernetes users, VPA remains dramatically underutilized. Just 54% of organizations use HPA to scale their workloads, and only 1% take advantage of VPA.

Google is bringing some of the best features of its cloud platform to Kubernetes. Shared VPC, Regional Persistent Disks, and Custom HPA offer additional value to customers.

The horizontal pod autoscaler (HPA) in Kubernetes scales pods based on metrics like CPU and memory usage. This helps manage the variable workloads of microservices, optimizing resource allocation ...

“The promise of Kubernetes is still beyond the reach of so many organisations, but bi-dimensional pod autoscaling, now made possible by StormForge Optimize Live, will change that for the vast ...

The HPA automatically increases or decreases the number of Pods in a replication controller, deployment, replica set, or stateful set in response to the workload's CPU or memory consumption. It's ...