Rafay Systems has announced its new Cost Optimization Suite to help users lower their cloud computing and Kubernetes costs.
The platform does this by continuously analyzing resource usage and reallocating or cleaning up resources as necessary based on policy-driven controls.
For instance, users can set time-to-live limits for short term needs, so that resources are automatically cleaned up when the time expires.
Users can also create schedule policies that enforce resources to only be used when they are needed, such as during weekdays.
In addition, Cost Optimization Suite improves sharing of cloud and Kubernetes resources and allows multiple teams to use the same cluster resources. According to Rafay Systems, this can lower cloud costs by up to 30%.
No enterprise wants to constantly monitor cloud costs and have operations engineers intervene manually. They want applications to only use the resources they need and they want unused infrastructure to be scaled down if it’s not being used,” said Haseeb Budhani, CEO and co-founder of Rafay Systems. “Our Cost Optimization Suite does exactly this for Kubernetes environments by proactively making adjustments to per-application resource commits and ensuring that the right policies are in effect to automatically reduce infrastructure footprint based on need.”
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