Case Study: Marvin Hansen
Marvin Hansen had a conundrum to solve when he reached out to MomoCentral with a project comprised of sensitive requirements. Their system infrastructure was a standard Kubernetes cluster with a service mesh. Atop of that, they were building a unified distributed graph that converges data, processing, and machine learning, but also leverages index-adjacent data locality for performance reasons. The headache started when fine-grained security requirements emerged, but they simply haven't had the engineering power. Faced with the decision to either re-architect the system or come up with an intelligent alternative, they reached out to Momo Central.