Release Note 7.7

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Overview

Pcloudy 7.7 takes a big leap forward in making testing faster, smarter, and more proactive. This release introduces QuantumRun, the AI powered Test Orchestration Engine that accelerates test execution by up to 70 percent, and a major upgrade to the Performance Experience Testing platform with customizable thresholds for performance benchmarking. These capabilities are designed to align testing with enterprise speed, reduce bottlenecks, and ensure applications deliver consistently outstanding user experiences. With AI at the core, Pcloudy 7.7 turns execution from a bottleneck into a business advantage and makes performance benchmarking an integral part of quality engineering strategy.

Product Updates

QuantumRun: 70% Faster Test Execution Minus the Headache

Let us be honest. Test execution has been the slow cousin in your automation family. You can generate tests in minutes, but execution often drags on for hours. With QuantumRun, that problem is history.

QuantumRun delivers up to 70 percent faster test execution by automatically mapping tests to the right devices, optimizing schedules, and running parallel sessions at scale. It is like having an AI powered test manager who never sleeps, never misallocates, and never makes you wait.

Even better, it learns from your past runs to manage flaky tests and predict smarter execution patterns. And yes, it plugs right into your CI and CD pipelines. Less waiting, more shipping.

Key Highlights

  • Slashes test execution time by up to 70 percent

  • Manages flaky tests by learning from historical failure patterns

  • Enables parallel execution at scale without breaking infrastructure

  • Coordinates intelligently with CI and CD pipelines for faster delivery

Performance Experience Testing: Benchmark Like a Pro

Users do not count your test cases. They count seconds. A two second delay in app launch feels like an eternity. The new upgrade to Performance Experience Testing supercharges your ability to set, track, and enforce custom benchmarks.

With threshold configuration, you can define performance standards that align with your app and business goals. AI then monitors every key metric including launch time, memory usage, and CPU consumption. If thresholds are breached, you are flagged immediately—long before your users ever notice. Think of it as customizable standards with an AI watchdog built in.

Key Highlights

  • Proactive issue detection before end users are impacted

  • Fully customizable thresholds aligned with business and app goals

  • Retroactive and forward looking analysis applied across reports

  • Comprehensive monitoring across launch times, memory usage, CPU consumption, and more

New Devices

Google Pixel 10 Now Live on Pcloudy!