Case Study: Bede Gaming achieves 10-15% cloud cost savings with CAST AI

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Preview of the Bede Gaming Case Study

Bede Gaming saves 10-15% on cloud costs with CAST AI

Bede Gaming, a provider of a digital platform for the online gaming industry, faced massive user traffic peaks that led to costly overprovisioning of its Kubernetes workloads. The company's challenge was to optimize resource utilization without impacting performance or adding extra work for its platform team. Bede Gaming turned to CAST AI for a solution.

CAST AI implemented its Workload Optimization solution with automated rightsizing capabilities. This automatically scaled workload-level resources up or down to boost utilization, balancing cost and performance. As a result, Bede Gaming achieved 10-15% cloud cost savings with no impact on availability and freed its engineering teams to focus on higher-value initiatives.


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