:note: Purpose of this repository is to learn go and libraries within go's echo system, to identify and apply best practices. Output of the findings are located in docs directory.
FantastiGo app enables businesses to monitor their vehicle fleets, e.g. correctness of a vehicle, fuel level and consumption, location, speed, etc. Having the necessary information and insights about the state of the vehicles, user can configure appropriate alarms and proactively respond to challenges.
Solution is formed by several components, where emphasis is on ector and fleet management applications.
ector application is installed on a vehicle itself. It's main purpose is to collect data from the vehicle sensors and make the collected data visible to the fleet-management app.
To make things a bit more interesting, ector also provides other information by publishing messages to mqtt topics.
- Each time a vehicle is started, a message is sent via
/vehicle-startedtopic. This topic serves for two purposes. One being vehicle status marked as online, and the other is vehicle registration within the system in case vehicle id is unknown. - After vehicle is started, driver identifies himself within the vehicle. This information is propagated through the system via
/driver-changedtopic.
fleet-management app enables end-user to interact with the system by providing a REST Api, which can be used to manage drivers and vehicles, monitor fleet metrics, and set up alarms.
- Build app: docker build -t fantastigo .
- Run app: docker run -p 8080:8080 fantastigo