Recently I was talking to some friends about alerting on complex streaming data. Between some past event processing work we had done and earlier experience aggregating real-time manufacturing data, I was thinking a lot about projecting and evaluating results as we go versus querying the for results on some frequency. It seemed like a realistic […]
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Lately I’ve been exploring an idea around applying custom, user-defined rules to streams of events. I’m using a combination of technologies, but the core is a FaaS setup that I can run locally that utilizes the serverless package to deploy AWS Lambda functions that consume events from a Kinesis stream. I prefer the speed of […]