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webapi's Introduction

WebAPI

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Step 1: Create a Remote VM on Azure that will have Ansible installed and configured . Port 22 will be open so that VM connection via SSH is possible . Azure modules will be installed on the Ansible VM and authentication to Azure subscription will be achieved via secret file created in Ansible VM .

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Step 2 : Create a Azure Devops Organisation and establish Service connection between Ansible VM via SSH and RSA private key .

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Step 3 : Build pipeline will be executed to build the .NET project and using Nuget restore . After building the package, it will store the package on Azure artifact . Along with this it will copy the webapp.yml file used by Ansible to build the Infrastructure needed to deploy the application on Azure and then deploy the .NET package on the webapp .

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Step 4: Ansible playbook will run remotely on ansible VM . It will first create Azure Service Plan , Azure Web App , SQL database and firewall rule to allow azure webapp to access SQL database . Once infrastructure is ready, the pipeline wil start picking up the package and deploy the package to the webapp which is package file and extracting all the files on the web app so the web app now has all the application deployed. Then this application wil use the SQL database .

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Step 5 : When the client application sents the GET request to the webapi then a new record is inserted into the database table by WEBAPI .

Question :

**Ques 1 : How we can make Web app Elastic in Nature : **

Azure App Services currently provides two workflows for scaling: scale up and scale out.

Scale up: Get more CPU, memory, disk space, and extra features. You scale up by changing the pricing tier of the App Service plan that your app belongs to. Scale out: Increase the number of VM instances that run your app. You can scale out to as many as 30 instances, depending on your pricing tier. App Service Environments in Isolated tier further increases your scale-out count to 100 instances. You can scale manually or automatically based on predefined rules and schedules.

Automatic scaling is available only for Azure App Services Premium Pv2 and Pv3 SKUs

Option 1 :

Step1 : This option enables automatic scaling for your existing app service plan and web apps within this plan. We can set the value of maximum automatic scale for the app service plan using this step.

az appservice plan update --name <> --resource-group "resource group name" --elastic-scale true | false --max-elastic-worker-count <>

Step2: This step enables minimum number of instances that your web app will always be available on (per app scaling) and also enables the number of pre-warmed instances readily available for your web app to scale (buffer instances).

az webapp update -g <> -n <> --minimum-elastic-instance-count <> --prewarmed-instance-count <>

az webapp update -g sampleResourceGroup -n sampleWebApp --minimum-elastic-instance-count 5 --prewarmed-instance-count 1 [This configures 5 as the minimum number of instances that your web app will always be available on (per app scaling) and also configures 1 as the number of pre-warmed instances readily available for your web app to scale (buffer instances).

** Ques2: How to perform BAckup / Restore process **

In Azure App Service, you can easily restore app backups. You can also make on-demand custom backups or configure scheduled custom backups. You can restore a backup by overwriting an existing app by restoring to a new app or slot.

The backups are visible on the Containers page of your storage account, and your app. In the storage account, each backup consists of a.zip file that contains the backup data and an .xml file that contains a manifest of the .zip file contents. You can unzip and browse these files if you want to access your backups without actually performing an app restore.

The database backup for the app is stored in the root of the .zip file. For SQL Database, this is a BACPAC file (no file extension) and can be imported. Backup and restore are supported in Basic, Standard, Premium, and Isolated tiers.

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