Case Study: Voggt saves 25% on cloud costs with CAST AI

Voggt reduces cloud costs by 25% and saves engineer time

Voggt, a livestream shopping app for pop culture fans in Europe, was struggling to manage its growing Kubernetes environment as traffic increased. The company needed an automation solution to reduce the manual effort of scheduling workloads, managing clusters, nodes, and pods, and improve performance during high-demand periods.

Voggt chose CAST AI, implementing it across all environments in about a week after evaluating it against Spot by NetApp. CAST AI automated workload scheduling and Spot VM management, cutting cloud costs by 25%, reducing machine join time from up to two minutes to less than one minute, and delivering immediate ROI, with the solution reportedly paying for itself on the first day in production.

Voggt

Nicolas Hug

Lead SRE