M15 Core

Deploying a Scalable MQTT Platform

To effectively collect and manage the vast amounts of data generated by our IoT sensors, we will deploy a scalable MQTT platform. Here are the technologies and tools we would like to discuss with the more technically inclined members of the community:

Key Technologies

MQTT Broker

  • Eclipse Mosquitto: A lightweight, open-source MQTT broker that is easy to install and supports a wide range of devices.

Data Processing and Visualization

  • Node-RED: A flow-based development tool for visual programming suitable for wiring together hardware devices, APIs, and online services.

  • Apache Kafka: For high-throughput, fault-tolerant, and scalable data streaming.

High-Speed Databases

  • InfluxDB: An open-source time-series database optimized for fast, high-availability storage and retrieval of time series data.

  • TimescaleDB: An open-source time-series database optimized for complex queries and large-scale data analysis.

Integration and Management

  • Kubernetes: For container orchestration, ensuring the platform is scalable and resilient.

  • Docker: To containerize applications, making them portable and easier to manage.

  1. Deploy Eclipse Mosquitto as the MQTT broker to handle all incoming data from the sensors.

  2. Use Node-RED for processing and routing the data from the MQTT broker to the database.

  3. Store data in InfluxDB for efficient time-series data handling and querying.

  4. Use Grafana to visualize data and create real-time dashboards for monitoring.

  5. Deploy on Kubernetes and Docker to ensure the system can scale efficiently with growing data volumes.

This setup ensures a robust and scalable platform capable of handling the extensive data generated by The MinusFifteen Project.

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