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.
Recommended Setup
Deploy Eclipse Mosquitto as the MQTT broker to handle all incoming data from the sensors.
Use Node-RED for processing and routing the data from the MQTT broker to the database.
Store data in InfluxDB for efficient time-series data handling and querying.
Use Grafana to visualize data and create real-time dashboards for monitoring.
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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