Skip to main content

SmartBear Launches New Application Quality and Performance Management Platform

SmartBear Software announced new AlertSite UXM to help application development teams focus on delivering superior customer experiences.

Software teams are under increased pressure to deliver applications that provide a superior user experience while also shortening the time between development and deployment. In addition, Gartner has stated, “By 2014, 75% of the Fortune 1000 will offer public Web APIs.” (Gartner Research Document: Predicts 2014: Application Development, Brian Prentice, David Mitchell Smith, Andy Kyte, Nathan Wilson, Gordon Van Huizen, Van L. Baker - November 19, 2013) These APIs provide another point of potential user experience problems. Finally, when user experience issues do occur, determining why critical applications fail to perform as required can be a time consuming and expensive proposition.

AlertSite UXM is the first rapid time to value, easy-to-deploy, easy-to-use platform that unifies load testing, synthetic and real transaction monitoring in a single platform delivered as either a SaaS or on premise offering. AlertSite UXM provides complete monitoring and transaction tracing capabilities, not just for applications, but also APIs to assist in rapid root cause analysis. Pre-deployment load testing can also be performed to ensure application performance. As a single platform, AlertSite UXM unifies the most critical application and API management capabilities with best-of-breed code-level diagnostics. As a result, development, QA as well as operations and business teams can all work from the same data, efficiently share their insights and closely collaborate to reduce the time to find and resolve issues while also moving the organization closer to a continuous delivery software model.

AlertSite UXM is composed of three new modules:

- AlertSite UXM Synthetic – measures simulated users and includes easy-to-use and deploy transaction tracing based on innovative technology acquired from APM vendor Lucierna

- AlertSite UXM Real – measures actual user transactions down to code level root cause analysis

- AlertSite UXM Load – highly scalable load test service to validate application performance from the user’s point of view

“AlertSite’s availability and performance monitoring has helped us effectively respond to product issues when they occur by providing detailed alerts as well as robust data and charting to help isolate issues from a user experience perspective,” said Hal Manuel, Senior Director, Content & Technical Operations at Questia, Cengage Learning. “The addition of AlertSite UXM Synthetic can transform this user experience monitoring. Previously, we could understand basic user experience information. Now with AlertSite UXM Synthetic, we will be able to trace and find performance problems down to the code level details where product issues can be easily diagnosed and fixed in short order.”

Jonah Kowall, Research Vice President of IT Operations at Gartner, and Will Cappelli, Research Vice President of Enterprise Management at Gartner, note, “The demand and importance placed on APM tools has increased significantly during the past several years, and will continue as applications and infrastructures become more complex, dynamic, and additional layers of abstraction are introduced (for example, virtualization, SDN and API abstraction).” (Gartner Research Document: Gartner Hype Cycle for Real-Time Infrastructure – Application Performance Monitoring, Jonah Kowall and Will Cappelli, July 2013)

“SmartBear sits at the intersection of development, testing and operations teams,” said Rich Caplow, SVP Product Commercialization at SmartBear. “Bringing together the APM technology from our Lucierna acquisition with our testing and monitoring technology creates a unified industry-leading platform that allows our customers to easily and dramatically improve their delivery of a more effective end user experience and to enable continuous software delivery.”

AlertSite UXM Synthetic with complete transaction tracing is currently available. AlertSite UXM Real and AlertSite UXM Load will be available later in Q3.

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 ...

SmartBear Launches New Application Quality and Performance Management Platform

SmartBear Software announced new AlertSite UXM to help application development teams focus on delivering superior customer experiences.

Software teams are under increased pressure to deliver applications that provide a superior user experience while also shortening the time between development and deployment. In addition, Gartner has stated, “By 2014, 75% of the Fortune 1000 will offer public Web APIs.” (Gartner Research Document: Predicts 2014: Application Development, Brian Prentice, David Mitchell Smith, Andy Kyte, Nathan Wilson, Gordon Van Huizen, Van L. Baker - November 19, 2013) These APIs provide another point of potential user experience problems. Finally, when user experience issues do occur, determining why critical applications fail to perform as required can be a time consuming and expensive proposition.

AlertSite UXM is the first rapid time to value, easy-to-deploy, easy-to-use platform that unifies load testing, synthetic and real transaction monitoring in a single platform delivered as either a SaaS or on premise offering. AlertSite UXM provides complete monitoring and transaction tracing capabilities, not just for applications, but also APIs to assist in rapid root cause analysis. Pre-deployment load testing can also be performed to ensure application performance. As a single platform, AlertSite UXM unifies the most critical application and API management capabilities with best-of-breed code-level diagnostics. As a result, development, QA as well as operations and business teams can all work from the same data, efficiently share their insights and closely collaborate to reduce the time to find and resolve issues while also moving the organization closer to a continuous delivery software model.

AlertSite UXM is composed of three new modules:

- AlertSite UXM Synthetic – measures simulated users and includes easy-to-use and deploy transaction tracing based on innovative technology acquired from APM vendor Lucierna

- AlertSite UXM Real – measures actual user transactions down to code level root cause analysis

- AlertSite UXM Load – highly scalable load test service to validate application performance from the user’s point of view

“AlertSite’s availability and performance monitoring has helped us effectively respond to product issues when they occur by providing detailed alerts as well as robust data and charting to help isolate issues from a user experience perspective,” said Hal Manuel, Senior Director, Content & Technical Operations at Questia, Cengage Learning. “The addition of AlertSite UXM Synthetic can transform this user experience monitoring. Previously, we could understand basic user experience information. Now with AlertSite UXM Synthetic, we will be able to trace and find performance problems down to the code level details where product issues can be easily diagnosed and fixed in short order.”

Jonah Kowall, Research Vice President of IT Operations at Gartner, and Will Cappelli, Research Vice President of Enterprise Management at Gartner, note, “The demand and importance placed on APM tools has increased significantly during the past several years, and will continue as applications and infrastructures become more complex, dynamic, and additional layers of abstraction are introduced (for example, virtualization, SDN and API abstraction).” (Gartner Research Document: Gartner Hype Cycle for Real-Time Infrastructure – Application Performance Monitoring, Jonah Kowall and Will Cappelli, July 2013)

“SmartBear sits at the intersection of development, testing and operations teams,” said Rich Caplow, SVP Product Commercialization at SmartBear. “Bringing together the APM technology from our Lucierna acquisition with our testing and monitoring technology creates a unified industry-leading platform that allows our customers to easily and dramatically improve their delivery of a more effective end user experience and to enable continuous software delivery.”

AlertSite UXM Synthetic with complete transaction tracing is currently available. AlertSite UXM Real and AlertSite UXM Load will be available later in Q3.

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 ...