For containerized applications that serve traffic, you might want to verify that your container is ready to handle incoming requests. Azure Container Instances supports readiness probes to include configurations so that your container can't be accessed under certain conditions.
Reference:
https://docs.microsoft.com/en-us/azure/container-instances/container-instances-readiness-probe

See explanation below
Explanation:
Step 1: Understand the Requirements
* You need to create a self-hosted agent for Azure Pipelines.
* It will be hosted in a pod (for example, in Kubernetes).
* All pipelines in Project1 should be able to use this agent pool named Pool1.
Step 2: Create the Agent Pool in Azure DevOps
* Go to your Azure DevOps organization:https://dev.azure.com/{YourOrganizationName}
* In the bottom-left corner, click on the Organization settings gear icon.
* In the left menu, click on Agent pools.
* Click on Add pool.
* Provide the following:
* Pool name: Pool1
* Pool type: Self-hosted
* Grant access permission to all pipelines: Checked (so that all Project1 pipelines can use this pool)
* Click Create.
Now you have an empty agent pool named Pool1.
Step 3: Prepare the Self-hosted Agent as a Pod
You need to deploy an Azure Pipelines agent container as a pod. Here's how to do it:
Option 1: Using Kubernetes directly (YAML deployment)
* Create a Kubernetes deployment YAML file for the agent pod:
apiVersion: apps/v1
kind: Deployment
metadata:
name: azure-pipelines-agent
labels:
app: azure-pipelines-agent
spec:
replicas: 1
selector:
matchLabels:
app: azure-pipelines-agent
template:
metadata:
labels:
app: azure-pipelines-agent
spec:
containers:
- name: agent
image: mcr.microsoft.com/azure-pipelines/vsts-agent:latest
env:
- name: AZP_URL
value: "https://dev.azure.com/{YourOrganizationName}"
- name: AZP_TOKEN
valueFrom:
secretKeyRef:
name: azure-pipelines-token
key: token
- name: AZP_POOL
value: "Pool1"
- name: AZP_AGENT_NAME
value: "agent-pod"
* Create a Kubernetes secret for the personal access token (PAT):
kubectl create secret generic azure-pipelines-token --from-literal=token=<your-PAT> Note:
* Replace <your-PAT> with a PAT that has "Agent Pools (Read & manage)" scope.
* Replace {YourOrganizationName} with your actual Azure DevOps organization.
* Deploy the pod:
bash
Copy
kubectl apply -f azure-pipelines-agent.yaml
Step 4: Validate the Agent Connection
* Go back to Organization Settings > Agent pools > Pool1 in Azure DevOps.
* You should see the agent pod connected and listed as online.
Step 5: Use the Pool in Pipelines
By default, all pipelines in Project1 will now have access to the Pool1 agent pool because you granted access during the pool creation.
In your pipeline YAML files, specify the pool name to use the self-hosted agent:
yaml
Copy
pool:
name: Pool1

See solution below.
Explanation:
Step 1: To create a general-purpose v2 storage account in the Azure portal, follow these steps:
On the Azure portal menu, select All services. In the list of resources,type Storage Accounts. As you begin typing, the list filters based on your input. Select Storage Accounts.
On the Storage Accounts window that appears, choose Add.
Select the subscription in which to create the storage account.
Under the Resource group field, select RG1lod11566895
Next, enter a name for your storage account named: az400lod11566895stor Select Create.
Step 2: Enable boot diagnostics on existing virtual machine
To enable Boot diagnostics on an existing virtual machine, follow these steps:
1.Sign in to the Azure portal, and then select the virtual machine VM1.
2. In the Support + troubleshooting section, select Boot diagnostics, then select the Settings tab.
3. In Boot diagnostics settings, change the status to On, and from the Storage account drop-down list, select the storage account az400lod11566895stor.
4. Save the change.

You must restart the virtual machine for the change to take effect.
Reference:
https://docs.microsoft.com/en-us/azure/storage/common/storage-account-create
https://docs.microsoft.com/en-us/azure/virtual-machines/troubleshooting/boot-diagnostics

Instead implement Continuous Assurance for the project.
Reference:
https://azsk.azurewebsites.net/04-Continous-Assurance/Readme.html

Smart Detection automatically warns you of potential performance problems and failure anomalies in your web application. It performs proactive analysis of the telemetry that your app sends to Application Insights. If there is a sudden rise in failure rates, or abnormal patterns in client or server performance, you get an alert.
Reference:
https://docs.microsoft.com/en-us/azure/azure-monitor/app/proactive-diagnostics