How to invoke Webhook as part of ADF pipeline in Azure - azure

I am building an ADF pipeline, requirement is to invoke the Webhook service as part of Azure. Can someone please help me how to implement this?
Thanks in advance.

There is an activity specifically for that: Web hook activity

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Send Azure DevOps Pipeline Details to SIEM

I want to add pipeline details(status, id, who triggered it) to my SIEM solution. For that, can you suggest me how to get that information.
Some rough Ideas
Invoke a lambda from Pipeline and supply pipeline related information through SNS
If the above is possible, can you tell me how. I couldn't find a way to do it dynamically for all pipelines. I don't want to hardcore Project and Organization details.
Not very familiar with SIEM, but for azure devops pipelines, you can get their detailed information programmatically by REST APIs.
You can use Pipelines - Get to get information about pipeline's status, id, who triggered it and so on.
GET https://dev.azure.com/{organization}/{project}/_apis/pipelines/{pipelineId}?api-version=6.0-preview.1
You can click this link for more resources of Azure DevOps Pipelines REST APIs.
It uses PAT or OAuth2 as the authentication method and returns information as JSON.
Updates:
Here is a REST API Pipelines - List that can get a list of pipelines in a project.
GET https://dev.azure.com/{organization}/{project}/_apis/pipelines?api-version=6.0-preview.1

Logging errors From Azure Data Factory in to Application Insights (ADF to ApplicationInsights)

I want to log the errors coming in the azure data factory pipelines into the application insights.
i.e, from ADF in to application insights. is it possible? can someone guide me?
I think we can Using Azure Data Factory with the Application Insights REST API. It says we could use Web Activity in the ADF to invoke the Application Insights REST API after execution of your main activities(Or using Execute Pipeline Activity to execute your root pipeline and get the status or output of it.

Update Azure ML realtime endpoint

I'm generating a machine learning modell using Azure Auto ML. Is there a way to update my published real-time endpoint without deleting it first?
Thanks in advance.
One approach with current integration between Azure ML and Azure DevOps is to setup a release pipeline in Azure DevOps which is triggered by the model registration in your Dev workspace model registry.
There is guidance and examples in this repo
https://github.com/Microsoft/MLOpsPython
And more general guidance for MLops at http://aka.ms/mlops
Please follow the below for retraining.
https://learn.microsoft.com/en-us/azure/architecture/reference-architectures/ai/mlops-python#retraining-pipeline

On deploy trigger a webhook in Azure?

I have an Azure App Service set up to deploy from a local git branch. (per instruction from this article). I would like these deployments to trigger another webhook I have set up that posts deploy logs to slack, but I don't see any way to configure a push option in the Azure UI.
Any tips or ideas on how to accomplish this?
You can use Azure Functions to do that.
Here's an Official Azure Documentation article that will help you to work with HTTP triggers and output bindings in Azure Functions
If this solves your problem, do not forget to click on Mark as Answer

Deploy Azure Stream Analytics Job for IoT Edge

I cannot deploy a Stream Analytics Job for IoT Edge automatically, since that I haven't find way to specify Edge as Hosted Environment.
This property seems to be still not implemented in ARM Template, Powershell and Azure CLI.
sorry for this, we will add this in the documentation shortly
In the meantime you can use the following parameter: JobType="edge"
We'll add all the info in the doc.
Thanks,
JS

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