How we Built a Real-Time Vehicle Intelligence Pipeline in 30 Minutes using Condense

On June 10th, Bosch MPS and Zeliot teams delivered more than a webinar, we delivered a live production-grade streaming system, end-to-end, in real time. 

In just under 30 minutes, the Condense team built a fully operational data pipeline: ingesting from physical vehicle devices, applying custom and prebuilt stream logic, and routing alerts to live dashboards and structured storage. No mock data. No patchwork setup. Just live Kafka-powered execution. 

Watch the recording: Build a Data Pipeline Under 30 Minutes using Condense 🚀

What Makes This Different 

This wasn’t a tutorial or marketing demo. It was a working example of how real-time architectures should actually work. 

At the center was Condense, a vertically optimized, fully managed Kafka-native platform. But unlike traditional Kafka platforms, Condense brings in: 

• BYOC Kafka: run in your own AWS, Azure, or GCP, retaining data sovereignty and leveraging cloud credits. 

• Protocol-aware device ingestion: connectors for iTriangle, Teltonika, Bosch MPS, and more. 

• GitOps-native custom logic: deploy transforms with Docker, Git, and Kafka bindings from the UI. 

• Built-in observability: topic health, lag, retries, transform traces, all without external tooling. 

• Real-world mobility readiness: outputs to PostgreSQL, AquilaTrack, and other operational systems. 

What Was Built, Live?

• Ingested live data from a demo car fitted with an iTriangle device 

• Added a Teltonika device to simulate multi-hardware ingestion 

• Deployed a Panic Alert transform from GitLab using the built-in IDE 

• Added a Periodic publisher for heartbeat events to AquilaTrack and PostgreSQL 

• Forwarded alerts to AquilaTrack’s live dashboard via API 

• Stored structured data in PostgreSQL tables for downstream analytics 

And finally, when the actual panic button was pressed in the vehicle, the system lit up: 

• Kafka decoded the payload in real-time 

• Custom transform flagged the alert 

• PostgreSQL recorded it 

• AquilaTrack showed the event live 

Why This Matters?

This webinar proved that real-time is not just about fast brokers, it’s about fast decisions. 

Condense redefines what streaming-first systems can be: 

• Kafka without complexity 

• Logic with CI/CD and Git control 

• Device-to-dashboard observability built in 

• Domain-ready connectors that eliminate months of plumbing 

It wasn’t a simulation. It was a system, running live, built transparently in front of an audience. 

Watch the Replay 

For anyone building connected mobility platforms, telematics systems, or vehicle intelligence workflows, this is worth watching. Not just for the product, but for the architecture, velocity, and clarity of execution. 

To Learn More, Visit this page: Zeliot x Bosch MPS