Processing ordered IoT streams in Azure
There are thousands of articles on the Internet talking about how the cloud can be used to process discrete (un-ordered) streaming IoT data. But almost all are short on specifics and the design trade-offs you need to make when processing ordered IoT streams, at scale. This article discusses why scale can be difficult to achieve, especially when the ordering of the events (aka Series events) is important. Jeff Hollan wrote an article which illustrates the challenge when using Azure Functions, for example. And if you need a primer on Real-time processing, Events, Messages, Series events and Discrete events, please review the following articles: Real time processing Events, Data Points, and Messages - Choosing the right Azure messaging service for your data Choose between Azure messaging services - Event Grid, Event Hubs, and Service Bus
