Case Study: Banana achieves zero-outage, faster model deployments with Zeet

How Banana Performs Machine Learning Model Optimization with AWS & GCP

Banana is a startup that turns customers’ machine learning models or datasets into high-throughput real-time APIs. As the team grew, Banana struggled with manual deployments, cascading restarts, and the complexity of managing GPU/TPU workloads across AWS and GCP, all while the founder and engineers were spending too much time on DevOps instead of core ML work.

With Zeet, Banana automated deployments, rollbacks, health checks, and multi-cloud infrastructure management through Zeet’s platform and API. The results were dramatic: Banana eliminated production outages, increased its automated deployments from 80% to 100%, expanded from 10 to 25 microservices without adding headcount, and boosted deployment frequency by 5x in the first week after switching to Zeet.

Banana

Erik Dunteman

Co-Founder & Chief Executive Officer