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Sauce Labs Expands Mobile Test Automation Cloud with Addition of Real Devices

Sauce Labs announced the addition of real devices to its market-leading automated test offering. The release greatly expands the capabilities of Sauce Labs’ instantly available mobile test cloud by allowing customers to test their mobile apps across the full spectrum of simulators, emulators and real devices, using one platform, as part of their DevOps workflow

This announcement underscores the growing importance and maturation of mobile continuous integration as an achievable best practice that helps software teams streamline their build and release cycles. The imperative to continually deliver and enhance high quality mobile apps continues to grow, making instantly available automated mobile testing a necessity. To meet these aggressive development deadlines, automated mobile testing optimized for Continuous Integration (CI) workflows enables development teams to release higher quality mobile apps, faster and morefrequently.

"Velocity and dynamic delivery of quality mobile apps is key to business competitive positioning and adaptability," said Melinda Ballou, Program Director of IDC's Application Lifecycle Management & Executive Strategies Service. "Coordinating automated mobile testing with a broad range of changing devices in the cloud as part of a common platform can enable effective continuous integration and faster, higher quality mobile software deployment."

Sauce Labs' new offering differs from other mobile functional testing tools in the ecosystem by providing a large volume of devices, but fewer device types. The company's mobile strategy is focused primarily on the depth of testing using real devices rather than breadth for software teams looking to test early and often as they build mobile applications. The number of phones offered on the Sauce Labs real device cloud was designed to prevent long wait times that customers experience when using other offerings.

Further, by providing a large volume of real devices alongside more than 75 device platform combinations of iOS and Android simulators and emulators, Sauce Labs allows users to cover the majority of their testing with emulators and to augment that with higher fidelity testing on the most popular real devices for maximum coverage at a fraction of what it would cost to use real devices only.

Key highlights of today’s announcement include:

- Instant Availability: Unlike competing solutions, the Sauce Labs’ real device offering provides a high volume of the most popular devices. Developers can rely on instant access to cloud-enabled real mobile devices, rather than wait in long queues for a device.

- Massive Concurrency: The Sauce Labs’ Real Device Cloud supports high parallelism, allowing teams to test many functions at the same time. The result is overall reduction of test time by as much as 100x.

- Web, Native and Hybrid App Testing: With support for Appium and Selenium, developers can test all their mobile apps including native, mobile web and hybrid apps, across emulators and real devices.

- Enterprise Features: RDC’s secure tunnel supports testing of pre-production apps, APIs and back-ends. Account provisioning is also available with Team Management and SSO.

- Videos and Screenshots: Developers can count on a complete set of analysis tools including video, screenshots, logs and metadata to help quickly identify issues with their apps.

“Developers have learned that trying to manually test apps on their small set of in-house mobile devices is time consuming, ineffective and expensive,” said Lubos Parobek, VP of Products at Sauce Labs. “Today’s release provides mobile automated testing across emulators and real devices to address this acknowledged pain point head on. Through integration with the most popular CI systems, developers know they can rely on Sauce to accelerate their testing and deliver better quality apps to market, faster.”

“As the market leader, Sauce Labs continues to sharpen its focus on continuous delivery and business acceleration,” said Charles Ramsey, CEO of Sauce Labs. “The approach we are employing, offering a combination of massively scalable low-cost emulators and simulators with high volumes of the most popular real devices, enables development teams to increase the quality and frequency of their software releases in a cost-effective manner.”

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Sauce Labs Expands Mobile Test Automation Cloud with Addition of Real Devices

Sauce Labs announced the addition of real devices to its market-leading automated test offering. The release greatly expands the capabilities of Sauce Labs’ instantly available mobile test cloud by allowing customers to test their mobile apps across the full spectrum of simulators, emulators and real devices, using one platform, as part of their DevOps workflow

This announcement underscores the growing importance and maturation of mobile continuous integration as an achievable best practice that helps software teams streamline their build and release cycles. The imperative to continually deliver and enhance high quality mobile apps continues to grow, making instantly available automated mobile testing a necessity. To meet these aggressive development deadlines, automated mobile testing optimized for Continuous Integration (CI) workflows enables development teams to release higher quality mobile apps, faster and morefrequently.

"Velocity and dynamic delivery of quality mobile apps is key to business competitive positioning and adaptability," said Melinda Ballou, Program Director of IDC's Application Lifecycle Management & Executive Strategies Service. "Coordinating automated mobile testing with a broad range of changing devices in the cloud as part of a common platform can enable effective continuous integration and faster, higher quality mobile software deployment."

Sauce Labs' new offering differs from other mobile functional testing tools in the ecosystem by providing a large volume of devices, but fewer device types. The company's mobile strategy is focused primarily on the depth of testing using real devices rather than breadth for software teams looking to test early and often as they build mobile applications. The number of phones offered on the Sauce Labs real device cloud was designed to prevent long wait times that customers experience when using other offerings.

Further, by providing a large volume of real devices alongside more than 75 device platform combinations of iOS and Android simulators and emulators, Sauce Labs allows users to cover the majority of their testing with emulators and to augment that with higher fidelity testing on the most popular real devices for maximum coverage at a fraction of what it would cost to use real devices only.

Key highlights of today’s announcement include:

- Instant Availability: Unlike competing solutions, the Sauce Labs’ real device offering provides a high volume of the most popular devices. Developers can rely on instant access to cloud-enabled real mobile devices, rather than wait in long queues for a device.

- Massive Concurrency: The Sauce Labs’ Real Device Cloud supports high parallelism, allowing teams to test many functions at the same time. The result is overall reduction of test time by as much as 100x.

- Web, Native and Hybrid App Testing: With support for Appium and Selenium, developers can test all their mobile apps including native, mobile web and hybrid apps, across emulators and real devices.

- Enterprise Features: RDC’s secure tunnel supports testing of pre-production apps, APIs and back-ends. Account provisioning is also available with Team Management and SSO.

- Videos and Screenshots: Developers can count on a complete set of analysis tools including video, screenshots, logs and metadata to help quickly identify issues with their apps.

“Developers have learned that trying to manually test apps on their small set of in-house mobile devices is time consuming, ineffective and expensive,” said Lubos Parobek, VP of Products at Sauce Labs. “Today’s release provides mobile automated testing across emulators and real devices to address this acknowledged pain point head on. Through integration with the most popular CI systems, developers know they can rely on Sauce to accelerate their testing and deliver better quality apps to market, faster.”

“As the market leader, Sauce Labs continues to sharpen its focus on continuous delivery and business acceleration,” said Charles Ramsey, CEO of Sauce Labs. “The approach we are employing, offering a combination of massively scalable low-cost emulators and simulators with high volumes of the most popular real devices, enables development teams to increase the quality and frequency of their software releases in a cost-effective manner.”

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In live financial environments, capital markets software cannot pause for rebuilds. New capabilities are introduced as stacked technology layers to meet evolving demands while systems remain active, data keeps moving, and controls stay intact. AI is no exception, and its opportunities are significant: accelerated decision cycles, compressed manual workflows, and more effective operations across complex environments. The constraint isn't the models themselves, but the architectural environments they enter ...

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 ...

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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.