Description
The Sensor-to-Cloud Data Bridge Configuration service facilitates real-time, secure data flow between physical sensors and cloud environments. This service abstracts the complexity of multi-protocol translation, buffering, and encryption by setting up edge computing gateways or microservices that serve as “bridges.” These bridges collect sensor data using Zigbee, BLE, Modbus, or serial protocols and translate them to cloud-ready formats via MQTT, HTTPS, or WebSockets. The data is encrypted using TLS and signed digitally for verification before being sent to cloud storage or analytic layers. Optional edge processing includes filtering, compression, or simple analytics to reduce cloud load. Our configuration supports scalable architectures using Docker or Kubernetes, enabling multi-tenant support and load balancing. This solution is perfect for use cases involving smart agriculture, energy grids, or fleet tracking where real-time data reliability and cloud integration are essential for operational intelligence and automation.
Lund –
The IT Services team expertly configured our sensor-to-cloud data bridge, enabling us to seamlessly stream real-time data to our platform. Their expertise in encryption and protocol translation ensured a secure and efficient data pipeline. We are very happy with their services and they exceeded expectations.
Rapheal –
The sensor-to-cloud data bridge configuration service exceeded my expectations. The team expertly navigated the complexities of our sensor network, seamlessly connecting our real-time data streams to the cloud. The encryption and protocol translation were implemented flawlessly, ensuring data security and integrity. This service has significantly improved our data accessibility and reporting capabilities, enabling us to make more informed decisions faster.