EdgeX on embedded 512mb #48
Replies: 3 comments
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The default docker-compose file in https://github.com/edgexfoundry/edgex-compose include several the services for getting started users, but you can use make build command to build the docker-compose file with the services you need. |
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First thing you need to check is the processor architecture of the embedded device. If it is arm32 you might have some trouble. But with latest release there should be a documentation on how to do that. |
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its basically for discovery of onvif cameras, and exporting them to the
cloud, being its all written in go
its pretty big size wise for a low end device. im trying to figure out
which of the services are really needed
then see if they will actually fit.
…On Sat, Feb 11, 2023 at 4:01 AM Sounak Ranjan Das ***@***.***> wrote:
First thing you need to check is the processor architecture of the
embedded device. If it is arm32 you might have some trouble. But with
latest release there should be a documentation on how to do that.
If the device service you are looking for is not present. You can always
create your own using device service SDK.
As far as memory is concerned, you need to do a trial and error of what
services you need.
I hope that helps.
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Have a curiosity here, running edgex on under powered edge devices, say a home router/CPE with 512mb memory 256gb storage
alot of zigbee devices and cameras, would like to use edgex to discover the devices and export to the cloud. Yet based on the docker builds it feels way too large.. so im thinking what pieces are needed for discovery and exporting to edgex cloud. Aside from we see no support for zigbee device though heard zigbee was supported. rtsp/onvif device seems to exist. insight, suggestions and help is welcome.
Thanks
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