Sports betting, dynamic pricing, multi-player games, industrial IOT, click-stream analytics, marketing automation, energy production, health monitoring, live collaboration systems, and algorithmic trading - what do all of these different domains have in common?

Their success is dependent upon real-time execution guarantees AND the ability to fulfill those across unpredictable service demand AND even during network failures. There are very few multi-player games that could still be successful with 500ms round-trip response times, for instance.

What is needed is an application programming approach that can react to changes in state quickly (sub-millisecond), do so in a decentralized fashion (no single point of failure or bottleneck,) and can scale horizontally in the event of failure or high demand. In this talk we demonstrate how to achieve all three of these using Akka.NET, Kubernetes, and gRPC.