Hi, StreamPipes is a platform for IoT/IIoT analytics providing a rich toolbox of components that can basically be installed either on-premise or in the cloud.
For installation, as described on the website you’ll find several option among the most popular is a simple Docker-based installation using Docker in combination with Docker-Compose [1]. So there is no limitation in terms of WHERE you run, however we do have resource requirements: at least 2Gb RAM (the more the better - we recommend having around 6-8Gb) and a reasonably fast CPU. What are your requirements? What interface are you planning to use for accessing the data from the welding robot? What about the frequency and volume? Patrick [1] https://streampipes.apache.org/download.html > Am 12.03.2021 um 18:32 schrieb Oswa Haddar <oswahhad...@gmail.com>: > > Good evening, > > My name is Oswa. I am doing a project for the university. We want to > correct the path of a welding robot using* 5G and AI*. So we need a cloud > system to do so. It is still in the research phase. So I would like to know > if streampipes is compatible to cloud platform? I mean can it be directly > connected to the cloud or we need another intermediate? > it is possible for you to help me. Tell me about *the performance; the > speed, the price, the adaptation to AI and most importantly how easy it is > to work with, from users perspective, dealing with* *it and so*. > > Thank you. > > Best regards,
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