Azure Functions in Kubernetes deployment via

Question

Hello,

What is the best way and most appropriate way to deploy Azure functions on Kubernetes? If i am using an automation platform, does it need to make a call to a box that has the core tools deployed so that it can execute the "func kubernetes deploy" commands? or can i have my developers build the code in VS, commit it to GitHub, and through a CICD pipeline i can build the container and push it to ACR as an example and then deploy it using a predefined yaml file?

also if i am deploying http triggers, do i need a azure storage account that is created when deploying to an on-premis K8s deployment and not on Azure?

Answer 1

@Lev Goronshtein ,

The simplest way to deploy Azure function to AKS is via CLI, function core tools. You can build a docker image and push it to either docker hub or Azure container registry. Then use the below command to deploy to Azure kubernetes
func kubernetes deploy --name <name-of-function-deployment> --registry <container-registry-username>

You can also deploy from a private registry. Please refer the following articles for more details about deploying functions to kubernetes

https://learn.microsoft.com/en-us/azure/azure-functions/functions-kubernetes-keda#deploying-a-function-app-to-kubernetes

https://github.com/Azure/azure-functions-core-tools#deploy-to-kubernetes

For a http trigger function, deploying to on-prem Kubernetes doesnt need a storage account.

I hope this helps!

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Answer 2

Hi @MughundhanRaveendran-MSFT ,

What if i wanted to use an automation tool such as Nutanix Calm that can call API's and also perform KubeCTL commands as well. Do i still need to use func commands to deploy anything? could i not write my own yaml file, point it to the correct container registry, and do a traditional deployment such as kubectl create -f xyz.yaml -n namespace.