Case Study: Gosu.ai achieves 80% lower infrastructure costs with Looker

Gosu.ai Playing with preemptible VMs for faster delivery, more savings, and happier gamers

Gosu.ai is an esports training platform based in Lithuania that helps gamers improve through automated gameplay analysis and personalized recommendations. As its user base grew past 500,000 active users, the company faced rising infrastructure costs and needed a better way to scale during traffic spikes while supporting its analyzer and analytics workflows.

Looker was used alongside Google Cloud tools such as BigQuery to build KPI dashboards for user acquisition, retention, and per-user infrastructure cost. With Looker and the broader cloud setup, Gosu.ai gained on-demand analytics and more efficient reporting, helping the team cut infrastructure costs by 80% and reduce overall VM expenses by more than five times while enabling a 15-person developer team to work without a dedicated DevOps engineer.

Gosu.ai

Peter Romov

Chief Technology Officer