Compuware Corporation announced a new version of Compuware APM Real User Monitoring for Mobile and Web Apps powered by dynaTrace and PurePath Technology.
This new release delivers the industry's first end-to-end APM solution for hybrid mobile applications that use a combination of both native and HTML5 technology, the industry's most popular mobile architecture.
In addition, auto-instrumentation has been added for fast, easy set-up even for applications that companies might not build themselves.
Organizations using Compuware APM as part of their mobile strategy capture all transaction from all users 24x7 regardless of mobile device or application type - native, web or hybrid. Root cause is quickly determined in a single click, help desks now have full visit history at their fingertips, user experience can be systematically improved and more.
With the recent surge in mobile, Compuware APM's Hybrid Mobile support comes at a perfect time, as mobile performance becomes more important than ever. A recent consumer survey conducted by Harris Interactive for Compuware APM revealed 37 percent of smartphone and tablet users will go to a competitor if response time is over three seconds.
New features and capabilities in Compuware APM Real User Monitoring for Mobile and Web Apps include:
- One Solution for Mobile Native, Hybrid and Web Apps: enables organizations to optimize all mobile customer channels, and understand where to invest engineering power that is properly aligned to the needs of the business.
- Crash Reports Automatically Collected and Analyzed: provides thread- and code-level insight into root causes which can be shared easily across teams. Additionally, key metrics like battery status, if the device was root-kited or not, geo-location, and more are collected.
- Automatic Instrumentation: provides easy insight into any Android app without the need for code changes. While built for production user demand, it also enables the application development lifecycle and includes use case support for continuous integration and delivery scenarios.
- Out-of-the-Box Dashboards: provides end-to-end visibility into every tap, every swipe and every user interaction, 24x7 in production.
- Long-term, Historical Data Retention: needed to easily assess business performance.
- Immediate User Complaint Resolution: provides always-on insight and powerful search capabilities to identify user by name, city, country and device type for fast visit retrieval and analysis.
- Reduced Mean-Time-To-Repair (MTTR): provides insight into real user transactions with one click to root cause analysis.
"Our mobile APM innovation continues. By providing one solution to manage mobile native, hybrid and web apps, we are the first to empower organizations to address the explosion of mobile usage, regardless of their choice of architecture," said Steve Tack, VP of Product Management for Compuware's APM business unit. "Our mobile solutions deliver immediate bottom-line business impact for our customers, and help them remain competitive in an increasingly complex, interconnected world."
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 ...