Case Study: POPin achieves instant, zero-downtime database scalability and improved performance with ScaleArc

POPin Solves Scalability Challenges Quickly and Consistently with ScaleArc

POPin, an Irvine-based platform that creates short-duration micro social networks to surface organizational insight, experienced rapid customer growth that overwhelmed its original monolithic MySQL architecture. The small engineering team needed a fast way to fix database scalability, performance, redundancy and failover on Amazon without downtime or major rearchitecture.

By deploying ScaleArc in under 30 minutes and swapping JDBC connectors to front an Amazon RDS cluster with read/write and read-only instances, POPin gained immediate load balancing, redundancy and performance improvements with no code changes. ScaleArc’s real-time query analytics let engineers identify and fix bottlenecks within hours, enabling a clustered, highly available database managed by a small team and ongoing proactive monitoring as POPin transitions to a microservice, multi-region architecture.

POPin

Hayes Drumwright

Co-Founder and CEO