Building an Analytics Engine using MongoDB, Go, and Iron.io


Building a Relevancy Engine Using MongoDB and Go

On the heels of a recent post on powering intelligent traffic systems using MongoDB and Iron.io comes a presentation on building an analytics engine using MongoDB, Go, and Iron.io.

William Kennedy gave a presentation on his recent work at GopherCon and friends of ours from Sourcegraph were kind enough to write up details on the talk. Continue reading “Building an Analytics Engine using MongoDB, Go, and Iron.io”

How Edeva Uses MongoDB and IronMQ to Power Real-time Intelligent Traffic Systems

Edeva AB develops and markets intelligent traffic systems. Their product is a dynamic speed bump called Actibump. The selective system makes it possible to handle the compromise in accessibility, traffic flow and speed control, which is not possible with static speed bumps.

Actibump consists of one or more road modules that are mounted into a cast foundation and a radar unit that transmits information to a central control system. The road modules raise and lower in response to vehicle speed and are controlled and monitored over the Internet. Actibump can be expanded with variable speed limits, automatic traffic control (ATC), transponder systems for emergency vehicles, and real-time background data capture for statistical analysis of traffic. Continue reading “How Edeva Uses MongoDB and IronMQ to Power Real-time Intelligent Traffic Systems”