Recommended : How REI and Reddit Transformed Their Search using Lucidworks Fusion

I spent some time today listening to Dale Smith (REI Lead Engineer – Search Platform) and Chris Phillips (REI QA Engineer – Search Platform) discuss REI’s efforts and also Luis Bitencourt-Emilio of Reddit discuss their efforts around search at a event in Seattle.   They had previously provided talks at Lucene/Solr Revolution 2017 Conference (which I include below). These were two very illuminating discussions about the critical nature of search and the approaches that two very different companies took to address their rapidly growing search needs.

One of the critical aspects of this effort required they move to the new Search engine without changing the existing API and while retaining their SEO impact. There were many challenges on the way and this is presentation highlights their challenges and their success and how they went about developing a parallel search engine and testing it – effectively changing the wheels of the car while they were driving it.

Luis Bitencourt-Emilio of Reddit also provided their efforts around search and their increased use and appreciation of the value of the machine learning aspect of Lucidworks Fusion AI.

This presentation is already dated (it has been six months) and their new stack has changed and they have added Kafka to their solution-set.

Related link : ML Model Training and Prediction Using Lucidworks Fusion

Recommended Viewing : Microsoft IoT, Azure IoT, Time Series Insights, Remote Monitoring

All of our devices are sending mammoth amounts of telemetry (= data) and a lot of that data is useful. With the emergence the “Internet of Things” (as both a concept and a reality) over the past few years Microsoft has jumped at this new opportunity. Numerous efforts they are engaged in are around Azure IoT Core, certified device catalog, providing cloud/intelligence to the edge, remote monitoring, Azure Iot Hub Device Provisioning, time series insights and quite a bit more.  This is the tip of the iceberg – there are a number of other related features around, for example, machine learning.

One of the more interesting introductory talks to what Microsoft has introduced is from Sam George, Director of Microsoft Azure IoT.  It is a long talk but covers a lot of territory :
One very interesting aspect of the work being done is Time Series Insights which allows you to stream put your time series data into this tool and understand what is going on with your monitored device.  This is a particularly interesting application. There is no schema or telling the tool what the format of your data is, it will figure it out.  This talk provides an overview of Azure IoT Time Series Insights.