Datadog
Case Studies
Game Server Monitoring
Overview
Game Server MonitoringDatadog |
Analytics & Modeling - Real Time Analytics Application Infrastructure & Middleware - Data Exchange & Integration | |
Software | |
Discrete Manufacturing Product Research & Development | |
Predictive Quality Analytics Real-Time Location System (RTLS) | |
Cloud Planning, Design & Implementation Services Data Science Services | |
Operational Impact
DICE is able to cost-effectively ingest and index high volumes of logs each day with Datadog. | |
Battlefield has a global fan base that eagerly waits for every release, so DICE must be able to handle traffic peaks in the first 48 hours post-launch. | |
Datadog’s easy-to-use UI, coupled with its intuitive search syntax and short learning curve, has helped increase user adoption among DICE’s engineers. | |
Quantitative Benefit
During the beta, DICE anticipated that log volumes would exceed 12 billion log events per day. | |
Traffic peaks in the first 48 hours post-launch, often with upwards of 10 million users. | |