Event Streaming in the Gaming Industry

Use Cases and Architectures for Apache Kafka and Event Streaming in the Gaming Industry

The gaming industry must process billions of events per day in real time and ensure consistent and reliable data processing and correlation across game play interactions and backend analytics. Deployments must run globally and work for millions of users 24/7 on 365 days a year.

These requirements are true for hardcore games and blockbusters including massively multiplayer online role-play games (MMORPG), first-person shooters, and multiplayer online battle arenas (MOBA), but also for mid-core and casual games. Reliable and scalable real time integration with consumer devices like smartphones and game consoles is as important as cooperating with online streaming services like Twitch and betting providers for eSports.

Learn how event streaming with Apache Kafka and Confluent Cloud provides a scalable, reliable and efficient infrastructure to make gamers happy and gaming companies successful.

The session will discuss use cases and architectures for various scenarios, including

• Real time analytics and data correlation of game telemetry events
• Monetization network for real time advertisement and “in app” purchases
• Real-time payment engine for live betting
• Detection of financial fraud and cheating
• Chat function in games and cross-games
• Monitor the results of live operations like weekend events or limited time offers
• Real time analytics on metadata and chat data for marketing campaigns
• Integration of rewards for video streaming and other loyalty platforms