Event Streaming
A pattern where systems publish a continuous stream of events, such as bets, logins and deposits, that many other systems consume in near real time.
Definition
Event streaming moves data as a continuous, ordered flow of events rather than in periodic batches. Each meaningful action, a login, a bet, a win, a deposit, a limit change, is published as an event to a streaming platform, and multiple downstream systems subscribe to react to it: fraud detection scoring in real time, responsible-gambling monitoring watching for risky patterns, live dashboards, the data warehouse, and jackpot or bonus logic. This decouples producers from consumers, so the wallet does not need to know who is listening, scales to high throughput, and enables near-real-time analytics and interventions that batch processing cannot. It is increasingly the backbone connecting an iGaming platform's many systems, feeding both operational responses and analytical stores.
Worked example
When a player deposits and immediately places large bets, that stream of events is consumed in real time by the fraud system, which scores the pattern, the responsible-gambling monitor, which may prompt a check, and the analytics dashboard, all reacting within seconds without querying the wallet directly.
Why it matters
For learners, it is how a site can react to what is happening the moment it happens. For professionals, event streaming enables real-time fraud, responsible-gambling and analytics use cases and shapes modern platform architecture, so understanding it is key for data and platform engineers.