Case Study: Unstract achieves 80% less Kubernetes DevOps work with CAST AI

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Preview of the Unstract Case Study

Unstract cuts Kubernetes DevOps time by 80% with CAST AI

Unstract, an AI-powered enterprise software company, faced significant challenges managing its Kubernetes infrastructure, including unpredictable memory spikes causing downtime and inefficient resource allocation that required constant manual intervention. The lean team spent excessive time on reactive DevOps tasks and struggled to optimize costs continuously. They sought a solution to automate their infrastructure management and turned to CAST AI for its comprehensive Kubernetes optimization platform.

By implementing CAST AI, Unstract automated node rightsizing, resource requests, and spot instance utilization. The solution provided continuous optimization, eliminating manual rework and dramatically improving reliability. This resulted in an 80% reduction in time spent on Kubernetes operations and a 30% reduction in production infrastructure costs. CAST AI's platform effectively handled memory spikes automatically, preventing outages and freeing the engineering team to focus on application development.


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