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AppSense Labs Launches StrataApps to Enable User-Managed Apps

AppSense, a provider of user virtualization technology, introduced StrataApps, a new technology developed by AppSense Labs. StrataApps shifts the burden of managing crucially important, yet relatively low demand applications from an over-stretched IT service department to the users themselves.

Separate from the underlying desktop architecture, users are empowered to safely and independently manage their own personal productivity applications such as PDF Readers, GoToMeeting, iTunes, Skype, Tweetdeck and others without disrupting enterprise resources.

StrataApps allows users to safely download and install personally selected apps without creating installation concerns while also, and importantly, maintaining a pristine base build. Should a user try to install an app that is not compatible with the user’s environment, IT managers are shielded from any verification or provisioning requirements and a report is generated regarding installation success or failure.

StrataApps is the second offering through AppSense Labs, which was recently announced as the innovation arm of the AppSense global research and development group focused on creating new technologies that push the boundaries of user-centric computing.

“With the Consumerization of IT, users have adapted to app management with desktops and devices that fit with their personal preferences,” said Harry Labana, CTO and VP of Product Management at AppSense. “StrataApps is an innovative approach to making users accountable for apps they choose without IT interference. As we further develop the product, there are unique monitoring, governance and roaming capabilities that may further support both users and IT demands.”

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AppSense Labs Launches StrataApps to Enable User-Managed Apps

AppSense, a provider of user virtualization technology, introduced StrataApps, a new technology developed by AppSense Labs. StrataApps shifts the burden of managing crucially important, yet relatively low demand applications from an over-stretched IT service department to the users themselves.

Separate from the underlying desktop architecture, users are empowered to safely and independently manage their own personal productivity applications such as PDF Readers, GoToMeeting, iTunes, Skype, Tweetdeck and others without disrupting enterprise resources.

StrataApps allows users to safely download and install personally selected apps without creating installation concerns while also, and importantly, maintaining a pristine base build. Should a user try to install an app that is not compatible with the user’s environment, IT managers are shielded from any verification or provisioning requirements and a report is generated regarding installation success or failure.

StrataApps is the second offering through AppSense Labs, which was recently announced as the innovation arm of the AppSense global research and development group focused on creating new technologies that push the boundaries of user-centric computing.

“With the Consumerization of IT, users have adapted to app management with desktops and devices that fit with their personal preferences,” said Harry Labana, CTO and VP of Product Management at AppSense. “StrataApps is an innovative approach to making users accountable for apps they choose without IT interference. As we further develop the product, there are unique monitoring, governance and roaming capabilities that may further support both users and IT demands.”

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For many B2B and B2C enterprise brands, technology isn't a core strength. Relying on overly complex architectures (like those that follow a pure MACH doctrine) has been flagged by industry leaders as a source of operational slowdown, creating bottlenecks that limit agility in volatile market conditions ...

FinOps champions crucial cross-departmental collaboration, uniting business, finance, technology and engineering leaders to demystify cloud expenses. Yet, too often, critical cost issues are softened into mere "recommendations" or "insights" — easy to ignore. But what if we adopted security's battle-tested strategy and reframed these as the urgent risks they truly are, demanding immediate action? ...

Two in three IT professionals now cite growing complexity as their top challenge — an urgent signal that the modernization curve may be getting too steep, according to the Rising to the Challenge survey from Checkmk ...

While IT leaders are becoming more comfortable and adept at balancing workloads across on-premises, colocation data centers and the public cloud, there's a key component missing: connectivity, according to the 2025 State of the Data Center Report from CoreSite ...

A perfect storm is brewing in cybersecurity — certificate lifespans shrinking to just 47 days while quantum computing threatens today's encryption. Organizations must embrace ephemeral trust and crypto-agility to survive this dual challenge ...

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While companies adopt AI at a record pace, they also face the challenge of finding a smart and scalable way to manage its rapidly growing costs. This requires balancing the massive possibilities inherent in AI with the need to control cloud costs, aim for long-term profitability and optimize spending ...

Telecommunications is expanding at an unprecedented pace ... But progress brings complexity. As WanAware's 2025 Telecom Observability Benchmark Report reveals, many operators are discovering that modernization requires more than physical build outs and CapEx — it also demands the tools and insights to manage, secure, and optimize this fast-growing infrastructure in real time ...

As businesses increasingly rely on high-performance applications to deliver seamless user experiences, the demand for fast, reliable, and scalable data storage systems has never been greater. Redis — an open-source, in-memory data structure store — has emerged as a popular choice for use cases ranging from caching to real-time analytics. But with great performance comes the need for vigilant monitoring ...

Kubernetes was not initially designed with AI's vast resource variability in mind, and the rapid rise of AI has exposed Kubernetes limitations, particularly when it comes to cost and resource efficiency. Indeed, AI workloads differ from traditional applications in that they require a staggering amount and variety of compute resources, and their consumption is far less consistent than traditional workloads ... Considering the speed of AI innovation, teams cannot afford to be bogged down by these constant infrastructure concerns. A solution is needed ...