Case Study: The Mockingbird Foundation achieves nearly 50% cloud cost savings with CAST AI

The Mockingbird Foundation cuts cloud costs by nearly 50% with CAST AI

The Mockingbird Foundation, an all-volunteer non-profit supporting children's music education, faced significant challenges with its core digital asset, Phish.net. The site's architecture, which ran multiple microservices on a single machine, lacked isolation. This led to system-wide crashes during resource-intensive processes and unpredictable cost spikes during peak traffic events like live shows, diverting crucial funds away from its charitable mission. To address this, they turned to CAST AI for a solution.

CAST AI provided cost and resource optimization for the Foundation's new Kubernetes-based infrastructure on Google Cloud. The solution delivered optimal performance during traffic spikes and achieved approximately 50% cost savings. These savings directly increased the funds available for music grants, ensuring the non-profit's infrastructure was both future-proof and efficient, allowing more money to be directed toward its primary mission.

The Mockingbird Foundation