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Pcloudy

Pcloudy - The Real Device Cloud with Intelligence.

Most enterprise QA teams are stuck choosing between speed and security. Public clouds get flagged by InfoSec. Building an in-house lab takes months and costs a fortune. And testing on too few devices means bugs reach production before your team catches them. Pcloudy fixes that. Test mobile apps, web apps and APIs on 5000+ real devices and browsers - with 60+ real-device performance metrics built in. Enterprise security. Zero compromise. Public cloud, private cloud, on-premise, or hybrid - air-gap compatible, data residency compliant, and deployed inside your environment in weeks. Not months. And with AI Agents handling everything from test authoring to failure analysis, your team stops firefighting and starts shipping with confidence. Trusted by 500+ enterprises across industries globally.

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?

8 months ago | [YT] | 2

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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?

8 months ago | [YT] | 2

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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?

8 months 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