See explanation below
Explanation:
1. Open Microsoft Azure Portal
2. Log into your Azure account and go to App Service and look under Monitoring then you will see Alert.
3. Select Add an alert rule
4. Configure the alert rule as per below and click Ok.
Source: Alert on Metrics
Resource Group: az400-9940427-main
Resource: az400-9940427-main
Threshold: 5
Period: Over the last 5 minutes
Webhook: https://contoso.com/notify

Reference:
https://azure.microsoft.com/es-es/blog/webhooks-for-azure-alerts/

See explanation below
Explanation:
Step 1: Access Azure DevOps
* Open your browser and navigate to https://aex.dev.azure.com.
* You will be prompted to sign in. Enter the following credentials:
* Username: [email protected]
* Password: aFpJ2j-6M!
* Click Next or Sign in to proceed.
Note: If you see any Microsoft security challenge (like phone or email verification), follow the instructions to complete it.
Step 2: Sign Up for Azure DevOps
* After signing in, you'll see a prompt to sign up for Azure DevOps.
* Use the default settings provided by Azure DevOps for the sign-up process (region, default name, etc.).
* Click Continue or Start free with Azure DevOps.
An Azure DevOps Organization is a container for your projects and resources. Default settings are usually fine for new organizations.
Step 3: Create the Organization
* Enter a name for your organization. Azure DevOps will suggest a default name (like yourname or org- name), but you can change it if you prefer.
* Verify the region is correct.
* Click Continue to create the organization.
Your Azure DevOps organization is now created. It's the top-level container for all your projects.
Step 4: Create a Private Project Named Project1
* In your Azure DevOps portal, find the "New Project" button and click it.
* Enter the following details:
* Project Name: Project1
* Description: (optional)
* Visibility: Private
* Click Create.
A private project means that only users you add can see or access it. This is important for security and privacy.
Step 5: Enforce Maximum File Size for Repositories
By default, Azure DevOps allows files up to 100 MB to be pushed. To ensure the maximum file size for repositories in Project1 is 2 MB, you can enforce this using a pipeline validation.
Azure DevOps does not provide a direct setting for file size limits. However, you can create a pipeline to validate file size on pull requests and block changes if a file exceeds 2 MB.
Here's how to do it:
Option 1: Enforce with a pipeline validation for pull requests
* In your Project1, create a new pipeline.
* Use the following YAML for the pipeline:
yaml
Copy
trigger: none
pr:
branches:
include:
- "*"
jobs:
- job: CheckFileSize
pool:
vmImage: 'ubuntu-latest'
steps:
- script: |
echo "Checking file sizes in the PR..."
git fetch origin +refs/pull/*/merge:refs/remotes/origin/pr/*
large_files=$(git diff --cached --name-only | xargs -I{} du -b {} | awk '$1 > 2097152 {print $2}') if [ -n "$large_files" ]; then echo "Error: The following files exceed 2 MB:" echo "$large_files" exit 1 fi displayName: 'Check file sizes in PR' This pipeline will:
* Run on pull requests only.
* Check the size of all files in the pull request.
* If any file is larger than 2 MB (2,097,152 bytes), it will fail the pipeline and block the PR.
Option 2: Local Git configuration (for each developer)
On each developer's machine, run this command in their local repository:
bash
Copy
git config --local core.bigFileThreshold 2M
This limits the file threshold for checkout, but does not prevent large files from being pushed. Using the pipeline validation (Option 1) is more secure for team environments.

There are several tools available for running queries in Azure Data Explorer, including Kusto.
Kusto uses a role-based access control (RBAC) model, under which authenticated principals are mapped to roles, and get access according to the roles they're assigned.
Note: Azure Data Explorer is a highly scalable and secure analytics service that enables you to do rich exploration of structured and unstructured data for instant insights. Optimized for ad-hoc queries, Azure Data Explorer enables rich data exploration over raw, structured, and semi-structured data delivering fast time to insight. Query with a modern, intuitive query language that offers fast, ad-hoc, and advanced query capabilities over high-rate data volumes and varieties Reference:
https://docs.microsoft.com/en-us/azure/data-explorer/tools-integrations-overview

Explanation:

Box 1: 1
The Cloud agent job only.
Box 2: 4
The pipelines has the four tasks: NuGetrestore, Compile Application, Copy Files, and Publish Artifact.
Reference:
https://azuredevopslabs.com/labs/azuredevops/continuousintegration/