We use ScaleOps for our Kubernetes platform right-sizing our workloads.We have Kubernetes as our shared platform and we have app teams that launch workloads to Kubernetes and we need to right-size their requests to prevent overspending on these. ScaleOps comes in and takes real-time information about these workloads and is able to optimize the request, thus using less resources. It also is used for packing our nodes, so making sure nodes are utilized at a high percentage instead of a lower percentage and having wasted compute. We are looking to expand to the new ScaleOps features. We're still working on this, so using job optimization, replica optimization, spot optimization and building out through there.
Data Storage for Kubernetes provides scalable and resilient solutions for managing stateful applications in containerized environments. It addresses the unique challenges of dynamic workloads and ensures persistent data availability.
Data Storage for Kubernetes is designed to manage containerized applications' storage needs efficiently. These solutions offer dynamic provisioning, automated backup, and a robust disaster recovery framework. Storage persistence and high availability are...
We use ScaleOps for our Kubernetes platform right-sizing our workloads.We have Kubernetes as our shared platform and we have app teams that launch workloads to Kubernetes and we need to right-size their requests to prevent overspending on these. ScaleOps comes in and takes real-time information about these workloads and is able to optimize the request, thus using less resources. It also is used for packing our nodes, so making sure nodes are utilized at a high percentage instead of a lower percentage and having wasted compute. We are looking to expand to the new ScaleOps features. We're still working on this, so using job optimization, replica optimization, spot optimization and building out through there.