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Gaming

6 posts
Real Time AI for Mobile Gaming and eSports at MPL with Data Streaming using Apache Kafka and Flink
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  • 6 minute read

How MPL Uses Data Streaming to Lead in Mobile Gaming and eSports

Mobile Premier League (MPL) is a leading mobile eSports skill-based gaming platform with over 90 million users. To meet the demands of real-time personalization, fraud detection, and user engagement, MPL transitioned from traditional batch processing to a modern data streaming architecture powered by Apache Kafka, Apache Flink, and Confluent Cloud. This blog explores the architectural shift, key use cases—including real-time Machine Learning inference and feature orchestration—and the business outcomes achieved, such as increased trust, lower operational costs, and improved player retention. The MPL success story highlights the value of a data streaming platform in building responsive, intelligent, and secure gaming platforms.
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Real Time Gaming with Apache Kafka Powers Dream11 Fantasy Sports
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  • 4 minute read

Powering Fantasy Sports at Scale: How Dream11 Uses Apache Kafka for Real-Time Gaming

Fantasy sports has evolved into a data-driven, real-time digital industry with high stakes and massive user engagement. At the heart of this transformation is Dream11, India’s leading fantasy sports platform, which relies on Apache Kafka to deliver instant updates, seamless gameplay, and trustworthy user experiences for over 230 million fans. This blog post explores how Dream11 leverages Kafka to meet extreme traffic demands, scale infrastructure efficiently, and maintain real-time responsiveness—even during the busiest moments of live sports.
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Dynamic Pricing with Data Streaming using Apache Kafka and Flink
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  • 8 minute read

A New Era in Dynamic Pricing: Real-Time Data Streaming with Apache Kafka and Flink

In the age of digitization, the concept of pricing is no longer fixed or manual. Instead, companies increasingly use dynamic pricing — a flexible model that adjusts prices based on real-time market changes to enable real-time responsiveness, giving companies the tools they need to respond instantly to demand, competitor prices, and customer behaviors. This blog post explores the fundamentals of dynamic pricing, its link to data streaming, and real-world examples across different industries such as retail, logistics, gaming and the energy sector.
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When not to use Apache Kafka
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  • 18 minute read

When NOT to use Apache Kafka?

Apache Kafka is the de facto standard for event streaming to process data in motion. This blog post explores when NOT to use Apache Kafka. What use cases are not a good fit for Kafka? What limitations does Kafka have? How to qualify Kafka out as it is not the right tool for the job?
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