How to Generate AI-Powered Load Test Reports with PFLB

Denis Sautin

Author

Denis Sautin

Denis Sautin is a Senior Copywriter at PFLB. He works on producing and reviewing a wide range of technical and editorial content. Denis collaborates with product, marketing, and engineering teams to maintain consistency and structure. He has over 10 years of experience in managing and delivering content for tech companies.

Senior Copywriter

Reviewed by Boris Seleznev

Reviewed by

Boris Seleznev

Boris Seleznev is a seasoned performance engineer with over 10 years of experience in the field. Throughout his career, he has successfully delivered more than 200 load testing projects, both as an engineer and in managerial roles. Currently, Boris serves as the Professional Services Director at PFLB, where he leads a team of 150 skilled performance engineers.

Say goodbye to tedious manual reporting after load testing! With PFLB’s innovative AI-powered report generation, performance engineers can quickly turn detailed test data into comprehensive reports. This guide walks you step-by-step through setting up your test, running it, and effortlessly generating exhaustive performance analysis — so you spend less time reporting and more time optimizing.

Let’s dive in!

Generating AI Reports with PFLB Step-by-Step

Step 1: Create a New Test

After logging into the PFLB platform, click “+ New test” in the top-left corner of your screen to start setting up your load test.

Step 2: Import Your JMeter Test Files

After creating a new test, select “Import from Jmeter” from the Import data menu on the left-hand side.

A pop-up window appears, where you should:

Your test scenarios from JMeter will now be ready to use in PFLB.

Step 3: Verify and Finalize Your Test Setup

Before running your test, you’ll need to confirm and fine-tune your configuration:

Confirm Thread Groups:
Ensure your imported thread groups from JMeter correctly represent your test scenarios.

Verify Load Profile:
Review your load profile visually to ensure it accurately reflects the intended load scenarios.

Add SLA and Settings (Optional):

Once satisfied, you’re ready to run your performance test in PFLB.

Step 4: Launch and Monitor Your Test

Click on “Create test run” at the bottom-right of the test setup page.

In the pop-up, you can optionally:

You can then track the test’s status and progress in real-time from the Test runs page.

Step 5: Generate and Access Your AI Report

Once your test run is completed, follow these steps to generate your AI-powered report:

Click on the “Reports” tab at the top of your screen.

On the Reports page, click the “AI report” button.

From the pop-up window, select the completed test run you want a report for, then click on “Generate AI report”.

The platform will begin analyzing your test data automatically. This process may take a few minutes, during which you’ll see the status as “Might take a few minutes”.

Once your report is ready, you’ll receive a notification.Return to the “Reports” tab and find your newly created AI report in the list.

Click and open it.

Your AI-generated performance analysis, complete with insights and recommendations, is now ready to review and share with your team.