Pcloudy - Invidious

Pcloudy

Pcloudy is an Agentic AI digital experience testing platform that brings together real devices, real browsers, and intelligent AI agents—guided by human oversight—to validate functionality, performance, and AI behavior across your Web, Mobile Apps, and APIs.
Recognized as the industry’s fastest device cloud with instant device connections, Pcloudy is trusted by 500+ global enterprises and powers over 2 million + test runs every month across 5000+ real device & browser combinations. With 300k+ registered users and enterprise-grade security (SOC 2, ISO 27001, GDPR), Pcloudy ensures every release meets the highest standards of speed, quality, and reliability.

Learn More:
www.pcloudy.com

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Pcloudy

The most expensive test isn't the slow one.

It's the one nobody trusts.

We've watched teams disable 40% of their test suites. Not because the tests were wrong — but because they were red so often that "red" stopped meaning anything.

When a failure could be: — a real bug — a flaky script — an infrastructure hiccup — a timing issue

...teams stop investigating. They start ignoring.

And once trust dies, it spreads. Developers merge anyway. QA becomes a checkbox. Production becomes the real test environment.

This week: how trust collapses — and the system that rebuilds it.

👉 What percentage of your test failures get genuinely investigated?

1 day ago | [YT] | 1

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Pcloudy

More data doesn’t automatically mean more clarity.

Many teams have:
– detailed dashboards
– extensive logs
– thousands of test results

…and still struggle to answer one question:

“Why did this fail?”

The difference between average and high-performing QA teams isn’t volume of data.

It’s the ability to turn failures into explanations.

When test results explain themselves,
teams move faster — and with more confidence.

👉 Do your test results explain the problem, or just report it?

5 days ago | [YT] | 1

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Pcloudy

At small scale, testing feels predictable.
At 10× scale, something changes.

Test cycles slow down.
Failures become harder to trust.
Teams spend more time investigating than building.

Not because people or processes got worse
but because most testing infrastructure was never designed to scale linearly.

We see this pattern repeatedly as teams grow:
what worked at 50 tests quietly breaks at 5,000.

This week, we’ll break down why that happens and what high-performing teams do differently.

👉 Does this sound familiar in your org?

1 week ago | [YT] | 1

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Pcloudy

Test your Apps on the Apple devices running the latest Apple OS version!
iOS 18 Beta now live only at Pcloudy.

Test Now: bit.ly/4aXVSI8

hashtag#MobileTesting hashtag#AppTesting