Press release

CAST AI Advanced Autoscaler Optimizes Compute Resources for Customers Running Cloud-Native Applications on Azure

Customers reduce cloud costs by more than 60 percent, without compromising application availability or performance

May 17, 2022

CAST AI, the AI-driven cloud optimization company specializing in Kubernetes automation and cost optimization for customers running cloud-native applications, has introduced advanced Autoscaler for AKS. With advanced Autoscaler, customers running cloud-native applications on Azure can analyze their Kubernetes cluster configurations and automatically right-size them to use the most cost-efficient compute resources available, even as workload demands fluctuate over time. The result is immediate cloud cost reduction of more than 65 percent on average.

“CAST AI enabled us to see how our cluster was configured in just a matter of minutes,” said Alex Potter-Dixon, Head of DevOps, Phlexglobal. “But where the technology is truly transformative is in its ability to optimize our cluster and keep it optimized over time. As a matter of fact, CAST AI continuously configures our cluster over time, always finding the optimal balance of high performance at the lowest possible cost.”

CAST AI is built on top of advanced heuristics and Machine Learning algorithms, providing customers with a detailed analysis of their current cluster configuration within minutes. CAST AI also determines what compute resources are needed for an optimized cluster based on real-time cloud inventory availability, and then it provisions those resources automatically, continuously right-sizing to the most cost-efficient option possible. Customers typically transition to an optimized state in just a few minutes, and experience no impact to application availability or performance.

“We’re thrilled to provide our Azure customers with advanced Autoscaler,” said Laurent Gil, chief product officer at CAST AI. “Together with AWS and Google Cloud functionality, CAST AI is well positioned to offer cost optimization and autonomous Kubernetes operations to customers across all major cloud providers. As a result, interest in our platform continues to accelerate exponentially. ”

About CAST AI:

CAST AI is a cloud optimization platform that cuts cloud bills in half for AWS, GCP, and Azure customers. Powered by AI, it analyzes multiple data points to find an optimal cost-performance ratio. The platform delivers a cost-efficient, high-performing, and resilient infrastructure for all types of Kubernetes workloads. Headquartered in Miami, US, CAST AI has a European branch in Vilnius, Lithuania.

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The premise behind CAST AI is there is huge potential to reduce public cloud costs by using tools that can analyze cloud spending and suggest ways to optimize the cost, including finding cutting-edge cloud processing instances that may be offered below market rates.

CAST AI takes advantage of cloud-native technologies, containerization and Kubernetes to break the proprietary barriers that exist between clouds

The good thing about using AI in cloud automation is that it can make decisions based on somewhat correlated variables with a limited amount of information.

Cloud automation solutions reduce or eliminate all the manual effort your team invests into configuring virtual machines, creating VM clusters, setting up virtual networks and more.