Open Source Summit + ELC North America 2019

In IoT, Data Analysis is fundamental to gather insight from applications and business in general and Logging one of the key components to collect and pre-process data, usually, a logging mechanism goes through the normal workflow of collect, parse, filter and centralize logs to a storage backend like a database, so data processing and analysis can be performed.

Data Processing usually happens after the data has been aggregated and stored, but for real-time analysis needs, process the data while is still in motion brings a lot of advantages and this kind of approach is called Stream Processing.

In this presentation, we will go further and present an extended approach called 'Stream Processing on the Edge', where data is processed on the edge service or device, in a lightweight mode empowering features like anomaly detection (in the order of milliseconds) and Machine Learning in a distributed way using pure Open Source software applied to Embedded Linux environments.