IIoT / Edge and Cloud Computing

In today’s industrial landscape, cloud technologies and microservice architectures play a central role, especially in the area of predictive maintenance. Our IIoT platforms leverage proven technologies such as Docker and Kubernetes to deliver scalable and efficient cloud computing solutions that require no local installation and can be managed over the internet.

Communication between the cloud and intelligent IoT gateways is also possible in offline scenarios, which reduces the load on cloud resources and lowers costs. A fog computing architecture supports local data processing in order to minimize data volume and bandwidth usage while increasing data security by keeping sensitive information on-site.

Another core element of our IIoT platforms is the underlying microservice architecture. It enables a flexible and modular IT landscape in which individual services are developed and operated for dedicated tasks. This increases efficiency and makes it easier to quickly respond to changes and new requirements.

In addition to real-time data stream processing, our IIoT solutions offer benefits such as modular extensibility, scalability and high availability, supported by technologies for rolling updates and self-healing mechanisms. These platforms are designed to remain flexible and adaptable in the long term, ensuring they can keep pace with evolving technical and business requirements.