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Project template

Use case

Code snippet

Reliably process late-arriving vehicle IoT data via MQTT

Use cases:

Data integration

IoT

Time Series Data

An architecture diagram showing a real time data preprocessing pipeline or DAG

Interested in this use case?

Register your interest if you'd like us to focus on building this template next. You can also head to the Quix Community Slack if you have any questions.

About this template

This architecture blueprint demonstrates how you can:

Process real-time vehicle telemetry data with latency guarantees
Handle out-of-order data from vehicles with unreliable connectivity
Set up reliable alerting based on vehicle error codes
Sink data at different levels of aggregation granularity into a time series database or data warehouse

Using this template

This template serves as an architecture blueprint for processing vehicle IoT data based on the Quix platform.

In includes:

Late data handling with configurable grace periods
Support for both streaming and batch workloads
Resource scaling based on data volume
Automated batch size optimization
Built-in monitoring of processing latency
Python-native stream processing

If you’re interested in implementing this architecture, get in touch.

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Main project components

Technologies used

MQTT

Interested in this use case?

If you'd like us to focus on building this template next, register your interest and let us know. You can also head over to the Quix Community Slack if you've got any questions.

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