Hi Patrick, wow, this is very cool! After our next (or first ASF) release, I think it would be great to also mention this in the documentation, e.g., by adding a short notice in the installation manual that explains how to run StreamPipes on a Pi or Nano.
Dominik -----Original Message----- From: Patrick Wiener <[email protected]> Sent: Monday, February 24, 2020 6:38 PM To: [email protected] Subject: Multi-arch docker images for StreamPipes Hi, as a result of a PoC described in a blog post (https://streampipes.apache.org/docs/blog/2020/01/23/streampipes_on_rpi/ <https://streampipes.apache.org/docs/blog/2020/01/23/streampipes_on_rpi/>) I was working on bringing this multi-arch feature officially into the StreamPipes community (https://issues.apache.org/jira/browse/STREAMPIPES-66 <https://issues.apache.org/jira/browse/STREAMPIPES-66>). I finished the extension of StreamPipes related Docker images to support ARM-based CPU architectures - currently arm32v7 (e.g. Raspberry Pi) as well as arm64v8 (e.g. Jetson Nano). As of now, this includes all core StreamPipes services + mandatory external services for running StreamPipes lite: ui backend connect (master + worker) all pipeline elements activemq consul couchdb kafka zookeeper influxdb We currently still rely on an external kafka-rest service for live preview of data source in the pipeline editor. This external component is not provided as an multi-arch image since we plan to implement this feature by ourselves to minimize dependencies. So live preview is currently not supported in ARM-based setup. I updated the cli, installer and helm deployment within https://github.com/apache/incubator-streampipes-installer/tree/dev <https://github.com/apache/incubator-streampipes-installer/tree/dev> accordingly and tested the different alternatives. amd64/x86: tested on server and local Macbook Pro arm32v7: tested on Raspberry Pi Model 4, 4Gb RAM arm64v8: tested on Jetson Nano, 4Gb RAM Cheers, Patrick
