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Fan-out and Fan-in refer to breaking a task into subtasks, executing multiple functions concurrently, and then aggregating the result. They’re two...
An important feature we see often is processing streams of data, as fast as the data is being generated and scaling quickly to meet the demand of...
Previous patterns help address pushing data and events from one service to others, optimizing scale for write-heavy services. This pattern optimizes...
Buffering services with the help of a queue is very common. In Microsoft’s Cloud Architecture Patterns, it’s called the queue-based load leveling...
Publisher-Subscriber services publish events through a channel as messages. Multiple interested consumers listen to the events by subscribing to these...
Microservices have made communication overhead a common problem. Applications need to communicate with many smaller services, having a higher amount...
