iot-edge-v1 | Welcome to the home Azure IoT Edge V1 | Azure library
kandi X-RAY | iot-edge-v1 Summary
kandi X-RAY | iot-edge-v1 Summary
Welcome to the home Azure IoT Edge V1. The second version of Azure IoT Edge can be found at The second version of Azure IoT Edge is built from the IoT Edge open-source project which can be found at This folder contains the Azure IoT Edge V1 codebase. V1 will continue to be supported. V1 documentation which used to live on docs.microsoft.com has been moved along side the code in this folder. Bugs can continue to be filed on the issues section of this repo.
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QUESTION
I created an Iot Edge solution using Visual Studio Code via View -> Command Palette... -> AzureIotEdge:NewIoTEdgeSolution using the C# Module Module Template. This generates an Iot Edge solution with two Modules: tempSensor creates messages with dummy telemetry-data and SampleModule is supposed to receive those messages, print them and then pass them on to IotHub.
I build the solution for arm32 and deployed it to a Rasperry Pi (running latest Raspbian). The modules are then displayed as running on the device but if I monitor d2c-messages there are none arriving in IoT Hub.
If I run sudo iotedge logs tempSensor -f on the device, I can see messages are being generated.
If I run sudo iotedge logs SampleModule -f I only see IoT Hub module client initialized. Which is logged in the Init() Method. There is no logging from the PipeMessage Method which seems not to be reached at all.
If I build the solution for amd64 and deploy it to a virtual machine, everything is working as expected.
Is there a way to get it working on a Raspberry Pi running Raspian?
By the way: I tried the Azure Functions C# Module Template as well. Same result: On amd64 it works but on arm32 it does not.
UPDATE: Here is the logging of edgeAgent:
...ANSWER
Answered 2018-Dec-21 at 07:59Seems the issue related to https://docs.microsoft.com/en-us/azure/iot-edge/troubleshoot#stability-issues-on-resource-constrained-devices
Please refer the link and turn off OptimizeForPerformance in deployment manifest.
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