Case Study: Devsisters achieves real-time, scalable observability with Datadog

How Datadog’s cloud-first monitoring platform helps Devsisters rapidly tackle cloud-scale issues for gaming infrastructure

Devsisters, the South Korean mobile game maker behind hits like Cookie Run, was rapidly scaling on AWS and adding technologies such as Elasticsearch and Kafka. Their initial reliance on piecemeal open-source monitoring created integration overhead and blind spots in auto-scaling, cloud-native environments, consuming engineering time and making it hard to detect user-facing issues quickly.

Devsisters adopted Datadog’s SaaS platform for its turn-key, 450+ integrations, DogStatsD support and automated, real-time monitoring of ephemeral instances. That switch cut engineering effort, enabled custom in-game metrics and alerts (e.g., coins-per-user to detect abuse), and delivered measurable gains — including real-time alerts, improved user experience and a 10x reduction in Braze email rendering processing time — while scaling to handle sudden 10x load spikes.

Devsisters

SeungYong Oh

DevOps Lead