Italiano

Case study

SIoTRA: location-based IoT data, processed in real time

SIoTRA is the general-purpose platform I co-designed at NITECH with my business partner. It ingests data from geolocated IoT devices (vehicles, sensors, assets), processes it as a stream and turns it into events, KPIs, workflows and vertical applications.

The problem

Every IoT project started from scratch: device connectors, calculations, rules, notifications, reports. We needed one foundation to build different applications on, without rewriting it each time.

Architecture

SIoTRA architectureData flow in five steps: IoT devices send data, the platform ingests it as a stream, processes it with Apache Kafka and microservices, produces events and KPIs, and feeds vertical applications and integrations.Devicesvehicles, sensors,geolocated assetsIngestionstreaming, includingproprietary protocolsStreamprocessingApache Kafka andSpring Boot microservicesEvents and KPIsgeofencing, rules,measures, aggregationApplicationsand integrationsverticals and APIs forERP, CRM, WMSSIoTRA architectureData flow in five steps: IoT devices send data, the platform ingests it as a stream, processes it with Apache Kafka and microservices, produces events and KPIs, and feeds vertical applications and integrations.Devicesvehicles, sensors, geolocated assetsIngestionstreaming, including proprietary protocolsStream processingApache Kafka and Spring Boot microservicesEvents and KPIsgeofencing, rules, measures, aggregationApplications and integrationsverticals and APIs for ERP, CRM, WMS
How data flows through SIoTRA, from devices to applications.
  • Streaming ingestion from heterogeneous devices, including proprietary protocols.
  • Processing with Apache Kafka and Java Spring Boot microservices.
  • Dynamic calculation of new measures and real-time aggregation.
  • Event engine and polygon geofencing.
  • Data lakehouse with live and historical persistence, Apache Airflow pipelines.
  • Integration APIs for ERP, CRM, WMS and OEM telematics.

Technical choices

  • Runtime configuration: rules, measures and geofences are configured from a console, with no redeploy.
  • Fault tolerance: data recovery when a device loses connectivity.
  • Security by design: OAuth2, encryption, OWASP audit logging.

Results

ControlFleet, the first vertical built on SIoTRA, is a fleet management application (tracking, digital tachograph, fuel, maintenance, compliance deadlines). It went into production in three months and now follows more than 1,000 vehicles in 24/7 operation.

The same foundation lends itself to other verticals, such as waste management and cold chain.

My role

Partner at NITECH and head of architecture: platform co-design, technology choices, development of the core components, UX research on the Flutter app (core operational tasks went from 7 taps to 2).

  • Java
  • Spring Boot
  • Apache Kafka
  • Apache Airflow
  • PostgreSQL
  • Flutter

Working on a project with IoT or location data? Let's talk.

Let's talk about your project Learn more at nitech.it