Backend for Smart Pump Monitoring
For M-TRIBES, we handled the backend development for an IoT-based pump monitoring solution. The task included processing and managing large amounts of data from IoT sensors to monitor the status of the machines in real time. Our focus was on developing a robust and scalable backend infrastructure that enables IoT communication, data processing, and the […]
- API, AWS, IIoT Backend
Projekt
IoT, Real-Time, Scalability
Challenge
Reliably Managing IoT Data
The challenge was to develop a highly scalable infrastructure that processes large amounts of data from IoT sensors and transmits it to the system in real time. The backend had to be designed efficiently to manage IoT communication and make the processed data accessible to the frontend.
Solution
Robust Backend Architecture for IoT Data
Our solution included:
- IoT Communication
Development of a stable communication structure for the real-time transmission of sensor data. - Data Processing
Implementation of algorithms for processing and analyzing incoming data streams to gain important insights into the condition of the machines. - Data Preparation
Providing the processed data to the frontend so that it could be visually displayed and used for analysis.
Result
Efficient Data Processing and Real-time Monitoring
With our solution, M-TRIBES was able to implement a smart IoT data infrastructure that enables continuous monitoring and analysis of machine data. The robust backend architecture ensures real-time availability of data for the frontend application, which significantly increased the system’s efficiency.
Working with Intenics was a clear choice for us. Their track record and expertise provided invaluable contributions to our serverless IoT projects from start to finish.
Marian-Maximilian Martens · Co-Founder & CRO · M-TRIBES GmbH
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