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PFLB Unveils Version 1.0.11 with AI-Powered Test Report Generation and Enhanced Protocol Support

07-10-2025 08:15 AM CET | IT, New Media & Software

Press release from: PFLB

PFLB's user interface for selecting performance test runs prior to AI report generation.

PFLB's user interface for selecting performance test runs prior to AI report generation.

PFLB, a leading provider of performance testing solutions, today announced the release of PFLB Platform version 1.0.11, introducing powerful new features, including AI-driven test report generation, WebSocket protocol support, and improved test accessibility. This update further streamlines performance testing workflows for enterprises operating in high-load environments.
With this release, PFLB continues to innovate at the intersection of automation and performance engineering, delivering productivity-boosting enhancements across the platform.

AI-Powered Reports in Just Two Clicks
The headline feature of version 1.0.11 is AI-powered report generation. Users can now generate comprehensive performance test reports with just two clicks. After selecting a test run, the platform's integrated AI model automatically compiles a detailed report, ready in minutes.
Unlike general-purpose AI tools, PFLB's proprietary model is purpose-built for performance engineering. It doesn't just summarize test logs-it evaluates trends, identifies anomalies, and presents insights in clear, structured language that's accessible to both technical and business stakeholders.
Reports also include interactive charts with hover-enabled data points and zoom functionality, allowing teams to explore metrics in greater detail. These reports can be shared via direct link, making it easy to collaborate with external stakeholders, product managers, or distributed QA teams without requiring additional access permissions.
"Our mission has always been to simplify and accelerate performance testing for teams of all sizes," said Boris Seleznev, Professional Services Director at PFLB. "With AI-driven reports, we're eliminating manual steps and helping QA teams deliver faster insights with less effort."
This functionality enhances decision-making speed and reduces time spent on post-test analysis, making it ideal for high-stakes testing scenarios like peak-season traffic simulations or continuous delivery pipelines.

Expanded Protocol Support: WebSocket Testing Made Easy
As part of the platform's commitment to comprehensive protocol coverage, PFLB now supports WebSocket samplers within JMX-based test scenarios. This empowers users to test real-time applications-such as chat systems, live trading platforms, and IoT services-directly within the PFLB environment.
Users can now view and configure WebSocket samplers from within the test interface, providing a unified experience for scripting and analysis.

Faster, Sharper Visualizations
Version 1.0.11 also brings major performance improvements to report chart rendering. Even in extended test runs, visual data is now available within seconds, giving teams faster feedback loops during performance evaluations.
These enhancements ensure that reports remain both data-rich and highly responsive, improving usability without sacrificing depth.

Direct JMX Test Downloads for Streamlined Scripting
Previously limited to the Apache JMeter plugin, JMX files can now be downloaded directly from the PFLB Platform. This new feature reduces dependency on third-party tools and simplifies test sharing and version control across teams.
Learn more about version 1.0.11 at:
https://pflb.us/platform/releases/1-11/
Explore the AI-powered report feature at:
https://pflb.us/platform/ai-report/

PFLB, Inc.
2590 California St, Apt #1244, Mountain View, CA, 94040, US
+1 (408) 418-2552
Presscontact:
Rost Radchenko
comms@pflb.us
https://pflb.us

PFLB is a global provider of enterprise-grade performance testing solutions, trusted by businesses across fintech, telecom, retail, and software industries. The PFLB Platform leverages AI and scalable cloud infrastructure to help engineering teams validate, optimize, and monitor system performance under real-world load conditions. Founded with a focus on automation, PFLB enables teams to ship faster with confidence.

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