Skip to main content

ControlUp for Apps Released

ControlUp announced the launch of ControlUp for Apps, a new addition to its ControlUp ONE DEX platform. 

ControlUp for Apps provides real-time visibility and proactive management for SaaS and web applications, addressing critical visibility gaps that IT teams face in today’s era of hybrid and composite employee workspaces.

“ControlUp for Apps represents a pivotal advancement in how IT teams manage and optimize the performance of the SaaS and web applications employees increasingly rely on to get work done,” said Guy Weintraub, Vice President of Product, ControlUp. “Using our deep insights and exclusive issue resolution processes, ControlUp for Apps is uniquely positioned to transform the service desk's approach to application management, without requiring dedicated domain training or expertise, making a significant impact on organizational security and productivity.”

Easy to use with fast time to value, ControlUp for Apps enables IT teams to quickly identify and resolve issues specific to employee experiences or broader systemic problems without the need for specialized SaaS expertise. This capability is crucial, given the increasing reliance on diverse and complex applications in enterprise environments. 

Key features for a range of use cases include:

  • For the IT Service Desk: Enhanced service desk efficiency by integrating key performance metrics and errors into ControlUp ONE’s existing employee-centric views. It allows service desk teams to quickly pinpoint issues across the end user's digital workplace, aiding in the rapid identification and remediation of root causes related to SaaS or web application issues. This improved troubleshooting capability ensures that end users can return to peak productivity without unnecessary delays or escalations.
  • For IT Desktop Teams: Provides IT desktop teams with enhanced visibility into the digital workplace experience by monitoring SaaS and web applications in real time. This visibility is crucial for identifying and addressing blind spots that often cause delays and miscommunications among technology teams. With ControlUp for Apps, desktop teams gain the insights needed to preemptively address issues, without requiring domain-specific expertise or training, reducing the finger-pointing that can occur between technology owners.
  • For IT Operations: Offers IT operations teams comprehensive health and usage insights for all monitored SaaS and web applications. The platform's intuitive dashboards display detailed performance data, enabling proactive management of application health. This capability ensures that IT can maintain high levels of service continuity and application availability, which is critical for supporting the productivity of the modern workforce.

ControlUp for Apps integrates technology acquired from Avanite, a pioneer in user and browser management technology which became part of the ControlUp innovation engine in November 2023. ControlUp for Apps is tightly integrated into the ControlUp ONE platform and utilizes features such as custom reporting, alerting, and data export automation to enrich the existing SaaS and web application data that ControlUp already provides through features such as synthetic monitoring and Secure DX User Risk Analytics.

ControlUp for Apps is available now for physical endpoints as part of the ControlUp ONE platform. 

The Latest

AI is becoming the operating system of the enterprise. It acts as an invisible coordination layer that understands intent, connects systems, and executes work across complex SaaS environments. Previously, employees had to click through multiple systems — CRM, ERP, support tools, collaboration platforms — to complete a single task. Now, instead of navigating each application manually, they can simply state what they need to accomplish ...

In 2026, the cost of downtime or an outage is no longer just a technical inconvenience; it's a $600 billion wake up call for global businesses. As our digital ecosystems become  more interconnected, each touchpoint introduces new risks and multiplies the consequences when things go wrong. And the data is clear: aggregate downtime costs  for Global 2,000 companies have surged 50% since 2024, reaching a staggering $600 billion ...

Deloitte found that 74% of enterprises expect to deploy agentic AI solutions in the next 24 months. However, the rush to deployment is outpacing foundational work, though. Only 21% of enterprises have fully formed agent governance models in place. The result? AI agents deployed without guidance or governance begin to function as fragmented islands of complexity ...

Cloud spending is no longer viewed as a passthrough IT expense, but as a strategic financial lever that directly impacts innovation capacity, profitability and enterprise resilience, according to the CFO Cloud Cost Optimization Report from Azul ...

As AI moves from generating responses to performing actions, the need for trust increases exponentially. And as organizations enlist AI agents for increasingly sophisticated business processes, trust is going to be the single most important theme for spurring adoption. What can organizations do to build trustworthy AI agents? ...

I've spent a lot of time in the channel, and one thing I keep coming back to is this: a partner program is only as good as what it looks like in the field. Many programs look great on paper, but when a partner is in front of a customer navigating a complex hybrid environment or trying to make the case for AI-powered observability, the gap between what a vendor promises and what it actually delivers becomes very clear, very fast ...

Enterprises today operate in a real-time environment where uninterrupted access to trusted data has become a baseline expectation for users, applications and automated systems. Traditional DataOps models, built on manual effort and human triage, cannot keep pace with this always active demand. AI agents are emerging as the operational backbone, ensuring consistent data availability, reinforcing trustworthiness and enabling a level of scale that manual processes cannot achieve ...

For decades, trust in the digital workplace rested on familiar signals. We trusted faces on video calls, voices on the phone, and emails that appeared to come from people we knew. These cues felt human and intuitive. They anchored how decisions were made, approvals were granted, and access was authorized. AI-powered deepfakes have quietly broken that model ...

Cloud migration was supposed to be a one-way door. For most enterprises, it turns out it isn't. Cloud data repatriation is a real and growing trend. A new survey ... finds that 89% of organizations plan to expand their on-premises infrastructure footprint over the next two years — and 75% have already moved at least some workloads back from public cloud in the past 24 months. The findings point to a broad rethinking of where data belongs ...

Over the past few years, large language models (LLMs) have revolutionized the software industry. Given their ability to excel at multi-step reasoning, LLMs have helped enterprises streamline workflows and adapt to the unknown. However, employing such models comes with sky-high costs, latency issues, and limited flexibility. In the realm of IT operations, it is generally wiser to employ smaller, domain-specific models instead ...

ControlUp for Apps Released

ControlUp announced the launch of ControlUp for Apps, a new addition to its ControlUp ONE DEX platform. 

ControlUp for Apps provides real-time visibility and proactive management for SaaS and web applications, addressing critical visibility gaps that IT teams face in today’s era of hybrid and composite employee workspaces.

“ControlUp for Apps represents a pivotal advancement in how IT teams manage and optimize the performance of the SaaS and web applications employees increasingly rely on to get work done,” said Guy Weintraub, Vice President of Product, ControlUp. “Using our deep insights and exclusive issue resolution processes, ControlUp for Apps is uniquely positioned to transform the service desk's approach to application management, without requiring dedicated domain training or expertise, making a significant impact on organizational security and productivity.”

Easy to use with fast time to value, ControlUp for Apps enables IT teams to quickly identify and resolve issues specific to employee experiences or broader systemic problems without the need for specialized SaaS expertise. This capability is crucial, given the increasing reliance on diverse and complex applications in enterprise environments. 

Key features for a range of use cases include:

  • For the IT Service Desk: Enhanced service desk efficiency by integrating key performance metrics and errors into ControlUp ONE’s existing employee-centric views. It allows service desk teams to quickly pinpoint issues across the end user's digital workplace, aiding in the rapid identification and remediation of root causes related to SaaS or web application issues. This improved troubleshooting capability ensures that end users can return to peak productivity without unnecessary delays or escalations.
  • For IT Desktop Teams: Provides IT desktop teams with enhanced visibility into the digital workplace experience by monitoring SaaS and web applications in real time. This visibility is crucial for identifying and addressing blind spots that often cause delays and miscommunications among technology teams. With ControlUp for Apps, desktop teams gain the insights needed to preemptively address issues, without requiring domain-specific expertise or training, reducing the finger-pointing that can occur between technology owners.
  • For IT Operations: Offers IT operations teams comprehensive health and usage insights for all monitored SaaS and web applications. The platform's intuitive dashboards display detailed performance data, enabling proactive management of application health. This capability ensures that IT can maintain high levels of service continuity and application availability, which is critical for supporting the productivity of the modern workforce.

ControlUp for Apps integrates technology acquired from Avanite, a pioneer in user and browser management technology which became part of the ControlUp innovation engine in November 2023. ControlUp for Apps is tightly integrated into the ControlUp ONE platform and utilizes features such as custom reporting, alerting, and data export automation to enrich the existing SaaS and web application data that ControlUp already provides through features such as synthetic monitoring and Secure DX User Risk Analytics.

ControlUp for Apps is available now for physical endpoints as part of the ControlUp ONE platform. 

The Latest

AI is becoming the operating system of the enterprise. It acts as an invisible coordination layer that understands intent, connects systems, and executes work across complex SaaS environments. Previously, employees had to click through multiple systems — CRM, ERP, support tools, collaboration platforms — to complete a single task. Now, instead of navigating each application manually, they can simply state what they need to accomplish ...

In 2026, the cost of downtime or an outage is no longer just a technical inconvenience; it's a $600 billion wake up call for global businesses. As our digital ecosystems become  more interconnected, each touchpoint introduces new risks and multiplies the consequences when things go wrong. And the data is clear: aggregate downtime costs  for Global 2,000 companies have surged 50% since 2024, reaching a staggering $600 billion ...

Deloitte found that 74% of enterprises expect to deploy agentic AI solutions in the next 24 months. However, the rush to deployment is outpacing foundational work, though. Only 21% of enterprises have fully formed agent governance models in place. The result? AI agents deployed without guidance or governance begin to function as fragmented islands of complexity ...

Cloud spending is no longer viewed as a passthrough IT expense, but as a strategic financial lever that directly impacts innovation capacity, profitability and enterprise resilience, according to the CFO Cloud Cost Optimization Report from Azul ...

As AI moves from generating responses to performing actions, the need for trust increases exponentially. And as organizations enlist AI agents for increasingly sophisticated business processes, trust is going to be the single most important theme for spurring adoption. What can organizations do to build trustworthy AI agents? ...

I've spent a lot of time in the channel, and one thing I keep coming back to is this: a partner program is only as good as what it looks like in the field. Many programs look great on paper, but when a partner is in front of a customer navigating a complex hybrid environment or trying to make the case for AI-powered observability, the gap between what a vendor promises and what it actually delivers becomes very clear, very fast ...

Enterprises today operate in a real-time environment where uninterrupted access to trusted data has become a baseline expectation for users, applications and automated systems. Traditional DataOps models, built on manual effort and human triage, cannot keep pace with this always active demand. AI agents are emerging as the operational backbone, ensuring consistent data availability, reinforcing trustworthiness and enabling a level of scale that manual processes cannot achieve ...

For decades, trust in the digital workplace rested on familiar signals. We trusted faces on video calls, voices on the phone, and emails that appeared to come from people we knew. These cues felt human and intuitive. They anchored how decisions were made, approvals were granted, and access was authorized. AI-powered deepfakes have quietly broken that model ...

Cloud migration was supposed to be a one-way door. For most enterprises, it turns out it isn't. Cloud data repatriation is a real and growing trend. A new survey ... finds that 89% of organizations plan to expand their on-premises infrastructure footprint over the next two years — and 75% have already moved at least some workloads back from public cloud in the past 24 months. The findings point to a broad rethinking of where data belongs ...

Over the past few years, large language models (LLMs) have revolutionized the software industry. Given their ability to excel at multi-step reasoning, LLMs have helped enterprises streamline workflows and adapt to the unknown. However, employing such models comes with sky-high costs, latency issues, and limited flexibility. In the realm of IT operations, it is generally wiser to employ smaller, domain-specific models instead ...