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Exploring Azure App Service Scaling Options

Level: 100
Publishing date: 12-Dec-2023
Author: Catalin Popa


Introduction

Azure App Service is a fully managed platform that allows developers to build, deploy, and scale web apps. Scaling is a critical aspect of managing applications efficiently, and Azure App Service provides various scaling options to meet diverse workload requirements. In this article, we will delve into the scaling capabilities offered by Azure App Service and provide a step-by-step example of configuring an autoscale rule using the Azure Portal.

Understanding Azure App Service Scaling:

Azure App Service offers both manual and automatic scaling options to accommodate different application needs. Scaling can be achieved either vertically (scale up/down) or horizontally (scale out/in).

1. Vertical Scaling (Scale Up/Down):

         • Scale Up: Increase the resources (CPU, memory) of an existing App Service plan.

         • Scale Down: Decrease the resources of an existing App Service plan.

2. Horizontal Scaling (Scale Out/In):

         • Scale Out: Increase the number of instances (nodes) running your application to distribute               the load.

         • Scale In: Decrease the number of instances to optimize resource utilization.

Autoscale in Azure App Service:

Autoscale is an automatic scaling feature that allows App Service to dynamically adjust the number of instances based on specified rules and metrics. This ensures optimal performance and resource utilization.

Configuring Autoscale Rule in Azure Portal:

Let's walk through an example of configuring an autoscale rule in the Azure Portal. For this scenario, we'll create a rule to scale between 1 and 3 instances based on memory usage.

1. Navigate to Azure Portal and log in to your account.

2. Select your App Service: Choose the App Service you want to configure.

3. Autoscale Configuration: In the left navigation pane, select "Scale out" under the Settings section.


Note: Rules-based scaling is available from Standard S1 App Service Plans and above.

4. Configure Autoscale Rule: In the Autoscale pane, click on "Add a Rule"

Define Scaling Conditions: Choose the metric for autoscaling. For this example, select "Memory Percentage"

5. Set Scaling Conditions: Define the conditions for scaling.
    • Scale Out (Add a Node): Scale out when memory percentage hits 80% in the last 5 minutes.

azure.microsoft.com

• Scale In (Decrease with a Node): Scale in when memory percentage goes below 20% in the

last 5 minutes.

6. Configure Instance Limits: Set the minimum and maximum instances (nodes) to control the scaling range (e.g., 1 to 3 instances).

7. Save and Apply: Save the autoscale rule and apply the configuration.

Conclusion:

Azure App Service provides flexible scaling options, including manual and automatic scaling, to ensure your applications meet performance demands efficiently. The autoscale feature, as demonstrated in the example, enables dynamic adjustments based on defined metrics, promoting optimal resource utilization and cost-effectiveness. Leveraging these scaling options empowers developers to build resilient and high-performing applications in the Azure cloud environment.

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