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Automating UI Health Checks with UiPath: A Smarter Approach

Introduction

Monitoring the health of an application’s UI is crucial to ensure smooth performance and detect anomalies early. In this blog, I’ll walk you through how I built an automated health check using UiPath to verify UI elements, track page load times, and capture screenshots for review.

Why Automate UI Health Checks?

Manual monitoring of an application’s UI can be time-consuming and prone to errors. Automating this process with UiPath provides:

• Accuracy in detecting missing elements

• Efficiency in performance tracking

• Scheduled execution for continuous monitoring

• Visual logs through captured screenshots

Key Features of the Health Check

Here’s a breakdown of how my health check works:

1. Checking the UI Status

The automation is designed to validate the visibility of essential UI components, ensuring they are present and functional.

2. Monitoring Page Load Time

Each page's loading time is recorded, helping to identify performance issues or slow responses.

3. Detecting Missing UI Elements

UiPath checks if any expected tabs or sections are missing, providing alerts if discrepancies are found.

4. Capturing Screenshots

Once the webpage is fully loaded, the automation captures a screenshot, ensuring a visual record of the UI at that moment.

5. Storing Screenshots

The images are saved in a predefined storage path, allowing easy access for review and troubleshooting.

6. Scheduled Execution

The health check runs at a specific time daily, ensuring consistent monitoring without manual intervention.

Implementation in UiPath

To achieve this, UiPath activities such as:

• Element Exists (to check UI components)

• Get Attribute (to verify visibility)

• Wait for Page Load (to track response time)

• Take Screenshot (to capture UI state)

• Move File (to store images in a structured path)
  are leveraged efficiently.

Conclusion

Automating UI health checks using UiPath enhances reliability and ensures consistent performance monitoring. By eliminating manual effort, this approach provides data-driven insights into the application’s behavior, making troubleshooting faster and more effective.

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