Compuware Corporation announced the availability of the free Compuware APM Mobile Application Monitoring Service, the first and only free solution that combines crash, performance and business analytics for native mobile applications.
Compuware pioneered mobile APM, first delivering solutions more than three years ago. This new free offering enables mobile application and operations teams to accelerate time-to-market for new applications and ensure great end-user experiences.
Compuware Mobile Application Monitoring Free Edition is a SaaS solution that monitors mobile performance from the real user perspective. This gives organizations the ability to analyze who is using their mobile applications; see performance by device and browser; know the impact of device characteristics such as signal strength, battery charge and memory; all with integrated crash detection and diagnostics. This insight enables IT and business leaders to proactively address performance issues and maximize business results, which is of critical importance as mobile engagement continues its explosive growth.
"Our customers tell us they need better solutions for managing mobile applications. They started with crash analytics, but as mobile applications have become mainstream, they now want crash, performance and business analytics all in one easy-to-use solution," said Steve Tack, VP of Product Management for Compuware's APM business unit. "As mobile applications become industrialized, operations, development and business teams are looking for all three dimensions in a single Mobile APM solution."
Mobile Application Monitoring Free Edition features the following capabilities:
- Monitoring of Real End-Users' Mobile Application Experiences: Compuware APM Mobile Application Monitoring Free Edition is the only solution that monitors and tracks application usage, performance, availability, business level information, and captures and detects crashes in a single solution. With the Free Edition, you can begin monitoring all aspects of an iOS or Android mobile application in minutes.
- Mobile Application Usage Tracking: tracks the numbers of users and their application sessions across geographies, devices and networks, giving organizations the insight needed to optimize their applications to achieve better business results.
- Availability Measurement and Reporting: delivers insight into whether the application is stable and consistently available, able to serve the customer when it is needed, every time.
- Monitoring Mobile Application Performance: Free Edition measures performance of a mobile application directly from the mobile device to understand the end-user impact of poor performance, with detailed performance trending and patterns over time.
- Isolating Root Causes of Crashes and Errors, Down to the Line of Code: capture and analyze any error or crash that end users experience. Drill down on crashes to see what happened on a device at the time of a crash and identify critical information such as operating system, carrier, geographic location, battery level, other running applications, and the specific line of code where the problem occurred.
Related Links:
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 ...