Functions often need password, API keys, and connection strings to connect to other services and retrieve data. It would be great if those secrets could easily be obtained from Key Vault.378 votes
We’re pleased to announce a public preview of our Key Vault references feature, which you can learn more about here: https://azure.microsoft.com/en-us/blog/simplifying-security-for-serverless-and-web-apps-with-azure-functions-and-app-service/
There are some limitations to the initial preview, but we’re hoping to address those very soon. We’re looking forward to your feedback!
Matthew, Azure Functions team
Currently you can only configure Azure Alerts on the App Plan that is hosting your Azure Function. However, it would be great to do this on a Function level to detect failures and other metrics.21 votes
We have been working on this, and are a few months out from enabling it.
Azure Functions team
This is partially supported today. You can click through to the App Service Settings blade and click on the graph that shows up there.
This lets you set up basic alerts on failure rates/etc or GB-sec thorughput.
We’re adding Application Insights integration soon and that will provide even more options for setting up more granular alerts: github.com/Azure/azure-webjobs-sdk-script/i..
-Chris, Functions PM
Please support python based Azure functions that run in a Linux Docker container.
Linux Docker containers are already supported so we are half of the way there and Python is working/supported on windows preview.
Currently if you try to create a simple python based Azure function on Linux preview you get the error: HttpTriggerPy1: Object reference not set to an instance of an object.
The use case here is being able to run "enterprise" python 2 environments with hard dependencies on Linux. I can verify python runs correctly and can send an example Dockerfile if needed.14 votes
The feature is currently in active development / limited preview. We invite you to try the early bits and share your feedback with us. Please follow the links below for more information -
It's my understanding functions execute on an A1 size virtual machine, which has 1 core and 2GB memory. The customer has no way of changing this.
Our processing requires a bit more beefy machine as it's CPU and memory intensive. We understand using a dedicated App Service Plan is an option, but we really like paying for only what we consume. Our jobs run infrequently and tend to be on the "longer" end of the run time scale.
I'd love to be able to select the VM size we run on and pay accordingly with a consumption plan.1 vote
This feature is available in preview with the Premium plan
we will mark this item as complete once the plan becomes generally available.
Thanks for the feedback!
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