Instant Rebalancing for Autonomous Kubernetes Management of Entire Clusters or Selected Nodes

Anyone who has ever dealt with manual cost management tools knows how time-consuming they can be. Reaching an optimal state can take countless hours of engineering work without any guarantee of a continuously optimized state.

Instant rebalancing for autonomous Kuberenets management

CAST AI uses automation to make it a breeze. The platform’s feature – Instant Rebalancing – could automatically bring down compute costs by 50% or more. It brings results within minutes and doesn’t impact your application’s availability or performance.

Powered by AI algorithms, Instant Rebalancing analyzes your cluster configuration and rightsizes it to the most cost-efficient resources available. Once done, the engine will keep it in an optimized state without additional human effort.

And from now on, you can decide if you want to optimize your entire cluster in one go or focus only on specific nodes.

Cutting cloud costs instantly and automatically 

Instant Rebalancing automatically brings a Kubernetes cluster to the most optimal configuration by seamlessly modifying compute resources in real time, based on inventory availability and pricing. That way, you can enjoy savings within just a few minutes.

A substantial part of cloud cost optimization is rightsizing, or using the best available resources to optimize your deployments. We’ve developed advanced algorithms that make rightsizing instant and easy as clicking a button. Customers can then integrate Instant Rebalancing into cluster onboarding or continuous optimization through Infrastructure as Code (IaC). Our platform delivers significant cost savings by enabling them to quickly and easily get optimized and stay optimized, ensuring a truly frictionless experience.

Laurent Gil, Chief Product Officer at CAST AI

Instant Rebalancing is a critical building block of the CAST AI cloud cost management product suite. Thanks to it, you can seamlessly turn on cost-driven autoscaling, keeping your cloud expenses optimized over time – even as prices and market conditions change.

Instant Rebalancing also allows teams to benefit from the most cost-efficient spot instances offered at significantly discounted rates. The feature works across all supported regions in AWS, Google Cloud, and Microsoft Azure.

The recent updates in Instant Rebalancing

Introduced in June 2022, the partial rebalancing capability lets you decide which specific nodes to rebalance.

You can now bring your cluster configuration to an optimal state by replacing a subset of the least cost-effective nodes without touching the rest of the Kubernetes cluster. This change gives you even more control over your infrastructure and matches your team’s approach to Kubernetes cost management.

The CAST AI engine now also features temporary tainting on the new nodes created during rebalancing. This prevents workloads from landing on them before the node creation phase ends – adding another layer of K8s security and stability to your cluster operations.

This is not the end of our team’s efforts. We are now also looking into creating an option to continuously process and identify the most expensive node for replacement.

CAST AI is a great solution for anyone that has fairly sprawling infrastructure that is growing a little out of control and becoming difficult to manage. Turning to containers and running applications in a much more consistent fashion – without ever forgetting about the costs – is a smart move. Looking at the expertise of CAST AI in Kubernetes, we are confident that these cost savings are going to be realized. […] CAST AI gave us better visibility into our cloud resources and left us feeling in control.

Ryan Upton, Architect at Boostr

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