Skip to main content

Perfecto Mobile Introduces Integrated Mobile App Quality Platform for Visual Studio

Perfecto Mobile announced the MobileCloud for Visual Studio Plugin that enables teams to successfully test their mobile apps on real devices, inside Microsoft’s Visual Studio.

By extending Visual Studio with the MobileCloud Platform, development/test teams now have the ability to execute manual and automated tests on real mobile devices deployed around the world, directly from Visual Studio.

Teams are able to use the familiar C# language and fully manage device automation control with Microsoft Team Foundation Server (TFS).

Today, the pursuit of delivering better mobile apps faster is driving development/test teams to test earlier and more frequently. This solution offers a significant jump start for .NET web teams transitioning to mobile, teams launching new responsive design projects, and teams scaling the mobile app development and testing processes. By utilizing the MobileCloud Platform, Visual Studio users can leverage existing expertise and write automation tests in C# that are executable across any mobile operating system (Android, iOS, Windows Phone) or app style (web, native, hybrid), all with a single test script. Users have instant and always-available access to globally distributed real devices to support testing throughout the code-build-test cycle.

“The pressure to accelerate both mobile app delivery and iterative bug fixes is driving organizations to adopt agile development. Too often, though, this need for speed compromises quality. Successful organizations are seeing the future and are investing in technology that enables testing on real devices, mobile-ready continuous integration and test automation,” said Eran Yaniv, CEO, Perfecto Mobile. “The new MobileCloud for Visual Studio solution provides always-available devices-as-a-service and mobile-ready automation directly from within Visual Studio. Combined, these two capabilities deliver cross-platform mobile app testing that is fully managed by TFS. The bottom line is that our enterprise customers have immediate access to better feedback, enabling their Visual Studio teams to meet the pressure for high-speed app delivery without compromising quality. The concept of ‘Shift testing left’ is now achievable.”

“Perfecto Mobile’s Mobile App Quality Platform is a valuable complement to Microsoft’s suite of mobile development, testing and ALM tools,” said Mitra Azizirad, General Manager, Developer Tools Marketing and Sales at Microsoft. “By providing extensive mobile test coverage with its globally distributed, mobile device cloud, MobileCloud for Visual Studio empowers development and test teams to deliver better mobile apps faster and meet customer’s quality expectations.”

Benefits available from the MobileCloud for the Visual Studio solution:

- Accelerate Testing – Teams can execute unattended automated testing on remote iOS, Android and Windows Phone apps without requiring USB connections or driver downloads. System level control of devices under test enables full interoperability testing (e.g. call, text, change settings)

- Get started fast – Teams can utilize their existing expertise in Visual Studio, C# and Selenium WebDriver and leverage an extended package of functions for common mobile testing tasks (install app, insert text/URL, device reboot).

- Anytime Access to Real Devices Inside Visual Studio – Teams have direct access to a scalable, globally distributed, cloud-based mobile device platform.

- Continuous Integration (CI) Ready – Teams can use CI with real devices to deliver better feedback faster. It enables developers to build, deploy and test on real off-the-shelf devices every build cycle, capturing results in TFS.

The Latest

Like most digital transformation shifts, organizations often prioritize productivity and leave security and observability to keep pace. This usually translates to both the mass implementation of new technology and fragmented monitoring and observability (M&O) tooling. In the era of AI and varied cloud architecture, a disparate observability function can be dangerous. IT teams will lack a complete picture of their IT environment, making it harder to diagnose issues while slowing down mean time to resolve (MTTR). In fact, according to recent data from the SolarWinds State of Monitoring & Observability Report, 77% of IT personnel said the lack of visibility across their on-prem and cloud architecture was an issue ...

In MEAN TIME TO INSIGHT Episode 23, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses the NetOps labor shortage ... 

Technology management is evolving, and in turn, so is the scope of FinOps. The FinOps Foundation recently updated their mission statement from "advancing the people who manage the value of cloud" to "advancing the people who manage the value of technology." This seemingly small change solidifies a larger evolution: FinOps practitioners have organically expanded to be focused on more than just cloud cost optimization. Today, FinOps teams are largely — and quickly — expanding their job descriptions, evolving into a critical function for managing the full value of technology ...

Enterprises are under pressure to scale AI quickly. Yet despite considerable investment, adoption continues to stall. One of the most overlooked reasons is vendor sprawl ... In reality, no organization deliberately sets out to create sprawling vendor ecosystems. More often, complexity accumulates over time through well-intentioned initiatives, such as enterprise-wide digital transformation efforts, point solutions, or decentralized sourcing strategies ...

Nearly every conversation about AI eventually circles back to compute. GPUs dominate the headlines while cloud platforms compete for workloads and model benchmarks drive investment decisions. But underneath that noise, a quieter infrastructure challenge is taking shape. The real bottleneck in enterprise AI is not processing power, it is the ability to store, manage and retrieve the relentless volumes of data that AI systems generate, consume and multiply ...

The 2026 Observability Survey from Grafana Labs paints a vivid picture of an industry maturing fast, where AI is welcomed with careful conditions, SaaS economics are reshaping spending decisions, complexity remains a defining challenge, and open standards continue to underpin it all ...

The observability industry has an evolving relationship with AI. We're not skeptics, but it's clear that trust in AI must be earned ... In Grafana Labs' annual Observability Survey, 92% said they see real value in AI surfacing anomalies before they cause downtime. Another 91% endorsed AI for forecasting and root cause analysis. So while the demand is there, customers need it to be trustworthy, as the survey also found that the practitioners most enthusiastic about AI are also the most insistent on explainability ...

In the modern enterprise, the conversation around AI has moved past skepticism toward a stage of active adoption. According to our 2026 State of IT Trends Report: The Human Side of Autonomous AI, nearly 90% of IT professionals view AI as a net positive, and this optimism is well-founded. We are seeing agentic AI move beyond simple automation to actively streamlining complex data insights and eliminating the manual toil that has long hindered innovation. However, as we integrate these autonomous agents into our ecosystems, the fundamental DNA of the IT role is evolving ...

AI workloads require an enormous amount of computing power ... What's also becoming abundantly clear is just how quickly AI's computing needs are leading to enterprise systems failure. According to Cockroach Labs' State of AI Infrastructure 2026 report, enterprise systems are much closer to failure than their organizations realize. The report ... suggests AI scale could cause widespread failures in as little as one year — making it a clear risk for business performance and reliability.

The quietest week your engineering team has ever had might also be its best. No alarms going off. No escalations. No frantic Teams or Slack threads at 2 a.m. Everything humming along exactly as it should. And somewhere in a leadership meeting, someone looks at the metrics dashboard, sees a flat line of incidents and says: "Seems like things are pretty calm over there. Do we really need all those people?" ... I've spent many years in engineering, and this pattern keeps repeating ...

Perfecto Mobile Introduces Integrated Mobile App Quality Platform for Visual Studio

Perfecto Mobile announced the MobileCloud for Visual Studio Plugin that enables teams to successfully test their mobile apps on real devices, inside Microsoft’s Visual Studio.

By extending Visual Studio with the MobileCloud Platform, development/test teams now have the ability to execute manual and automated tests on real mobile devices deployed around the world, directly from Visual Studio.

Teams are able to use the familiar C# language and fully manage device automation control with Microsoft Team Foundation Server (TFS).

Today, the pursuit of delivering better mobile apps faster is driving development/test teams to test earlier and more frequently. This solution offers a significant jump start for .NET web teams transitioning to mobile, teams launching new responsive design projects, and teams scaling the mobile app development and testing processes. By utilizing the MobileCloud Platform, Visual Studio users can leverage existing expertise and write automation tests in C# that are executable across any mobile operating system (Android, iOS, Windows Phone) or app style (web, native, hybrid), all with a single test script. Users have instant and always-available access to globally distributed real devices to support testing throughout the code-build-test cycle.

“The pressure to accelerate both mobile app delivery and iterative bug fixes is driving organizations to adopt agile development. Too often, though, this need for speed compromises quality. Successful organizations are seeing the future and are investing in technology that enables testing on real devices, mobile-ready continuous integration and test automation,” said Eran Yaniv, CEO, Perfecto Mobile. “The new MobileCloud for Visual Studio solution provides always-available devices-as-a-service and mobile-ready automation directly from within Visual Studio. Combined, these two capabilities deliver cross-platform mobile app testing that is fully managed by TFS. The bottom line is that our enterprise customers have immediate access to better feedback, enabling their Visual Studio teams to meet the pressure for high-speed app delivery without compromising quality. The concept of ‘Shift testing left’ is now achievable.”

“Perfecto Mobile’s Mobile App Quality Platform is a valuable complement to Microsoft’s suite of mobile development, testing and ALM tools,” said Mitra Azizirad, General Manager, Developer Tools Marketing and Sales at Microsoft. “By providing extensive mobile test coverage with its globally distributed, mobile device cloud, MobileCloud for Visual Studio empowers development and test teams to deliver better mobile apps faster and meet customer’s quality expectations.”

Benefits available from the MobileCloud for the Visual Studio solution:

- Accelerate Testing – Teams can execute unattended automated testing on remote iOS, Android and Windows Phone apps without requiring USB connections or driver downloads. System level control of devices under test enables full interoperability testing (e.g. call, text, change settings)

- Get started fast – Teams can utilize their existing expertise in Visual Studio, C# and Selenium WebDriver and leverage an extended package of functions for common mobile testing tasks (install app, insert text/URL, device reboot).

- Anytime Access to Real Devices Inside Visual Studio – Teams have direct access to a scalable, globally distributed, cloud-based mobile device platform.

- Continuous Integration (CI) Ready – Teams can use CI with real devices to deliver better feedback faster. It enables developers to build, deploy and test on real off-the-shelf devices every build cycle, capturing results in TFS.

The Latest

Like most digital transformation shifts, organizations often prioritize productivity and leave security and observability to keep pace. This usually translates to both the mass implementation of new technology and fragmented monitoring and observability (M&O) tooling. In the era of AI and varied cloud architecture, a disparate observability function can be dangerous. IT teams will lack a complete picture of their IT environment, making it harder to diagnose issues while slowing down mean time to resolve (MTTR). In fact, according to recent data from the SolarWinds State of Monitoring & Observability Report, 77% of IT personnel said the lack of visibility across their on-prem and cloud architecture was an issue ...

In MEAN TIME TO INSIGHT Episode 23, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses the NetOps labor shortage ... 

Technology management is evolving, and in turn, so is the scope of FinOps. The FinOps Foundation recently updated their mission statement from "advancing the people who manage the value of cloud" to "advancing the people who manage the value of technology." This seemingly small change solidifies a larger evolution: FinOps practitioners have organically expanded to be focused on more than just cloud cost optimization. Today, FinOps teams are largely — and quickly — expanding their job descriptions, evolving into a critical function for managing the full value of technology ...

Enterprises are under pressure to scale AI quickly. Yet despite considerable investment, adoption continues to stall. One of the most overlooked reasons is vendor sprawl ... In reality, no organization deliberately sets out to create sprawling vendor ecosystems. More often, complexity accumulates over time through well-intentioned initiatives, such as enterprise-wide digital transformation efforts, point solutions, or decentralized sourcing strategies ...

Nearly every conversation about AI eventually circles back to compute. GPUs dominate the headlines while cloud platforms compete for workloads and model benchmarks drive investment decisions. But underneath that noise, a quieter infrastructure challenge is taking shape. The real bottleneck in enterprise AI is not processing power, it is the ability to store, manage and retrieve the relentless volumes of data that AI systems generate, consume and multiply ...

The 2026 Observability Survey from Grafana Labs paints a vivid picture of an industry maturing fast, where AI is welcomed with careful conditions, SaaS economics are reshaping spending decisions, complexity remains a defining challenge, and open standards continue to underpin it all ...

The observability industry has an evolving relationship with AI. We're not skeptics, but it's clear that trust in AI must be earned ... In Grafana Labs' annual Observability Survey, 92% said they see real value in AI surfacing anomalies before they cause downtime. Another 91% endorsed AI for forecasting and root cause analysis. So while the demand is there, customers need it to be trustworthy, as the survey also found that the practitioners most enthusiastic about AI are also the most insistent on explainability ...

In the modern enterprise, the conversation around AI has moved past skepticism toward a stage of active adoption. According to our 2026 State of IT Trends Report: The Human Side of Autonomous AI, nearly 90% of IT professionals view AI as a net positive, and this optimism is well-founded. We are seeing agentic AI move beyond simple automation to actively streamlining complex data insights and eliminating the manual toil that has long hindered innovation. However, as we integrate these autonomous agents into our ecosystems, the fundamental DNA of the IT role is evolving ...

AI workloads require an enormous amount of computing power ... What's also becoming abundantly clear is just how quickly AI's computing needs are leading to enterprise systems failure. According to Cockroach Labs' State of AI Infrastructure 2026 report, enterprise systems are much closer to failure than their organizations realize. The report ... suggests AI scale could cause widespread failures in as little as one year — making it a clear risk for business performance and reliability.

The quietest week your engineering team has ever had might also be its best. No alarms going off. No escalations. No frantic Teams or Slack threads at 2 a.m. Everything humming along exactly as it should. And somewhere in a leadership meeting, someone looks at the metrics dashboard, sees a flat line of incidents and says: "Seems like things are pretty calm over there. Do we really need all those people?" ... I've spent many years in engineering, and this pattern keeps repeating ...