Industry
Global Solution
Model implemented in Spain and Latin America
The Challenge
Our client requires the design and construction of a tool to monitor changes in traffic flows and provide valuable information in real time. The solution must also allow to anticipate possible incidents with predictive models.
| The Outcome
Our tool, Traffic Manager, enables the management and monitoring of traffic in a smart city infrastructure. Our client improved its Time-to-Market and has served as a reference in the integration of IoT devices for the management of Smart Cities and Territories.
How we did it
At LAUDE we proposed a solution that would respond to the client’s challenge, with a headless architecture, a backend -implemented in Java11/SpringBoot- that exposes a REST API to the frontend, implemented with Angular and Angular Material. In addition, docker-compose was used for stand-alone deployments and Kubernetes as an orchestrator in the Cloud.
The data backend consisted of three elements:
- PostgreSQL to store normalized information generated by users and IoT devices.
- Object Storage compatible with AWS S3, implemented by MinIO, for mass storage of images and videos.
- Redis as a buffer for the transits sent by the cameras and to assimilate the information peaks during peak hours.
We followed a flexible incremental development method based on Agile methodologies. Thanks to our MVP, our client has implemented the final solution in different markets in Spain and Latin America.
Shall We Talk?
If you need to know more specifics or are interested in having us assist your organization, please use the form below.
