Compuware Corporation released Compuware dynaTrace 4.1 with full support for IBM WebSphere Message Broker. dynaTrace 4.1 also adds to its powerful User Experience Management (UEM) capabilities, enhances visualization and integrates with Compuware Gomez Real-User Monitoring - Data Center.
This new release furthers Compuware's leadership in the APM industry and extends its ability to deliver unprecedented business agility, cost optimization and competitive advantages to the marketplace.
dynaTrace 4.1 provides support of IBM WebSphere and brings exclusive, cutting-edge APM to IBM WebSphere environments including: WebSphere Message Broker, Application Servers and Portal Servers. dynaTrace advanced end-to-end transaction tracing and UEM combine with superior visibility to provide unparalleled development, test and operational insight into WebSphere infrastructures.
dynaTrace 4.1 provides considerable business value to anyone using the WebSphere stack or any part thereof, including WebSphere Message Broker users. With dynaTrace 4.1, WebSphere users can determine in real time if messages are flowing correctly or if messages have not been properly received by the intended recipient services and whether Message Broker is properly configured to maximize service efficiency.
Additionally, by reducing the amount of time spent isolating and repairing problems, dynaTrace slashes Mean-Time-To-Repair (MTTR) for all aspects of WebSphere implementations.
This latest version of dynaTrace also brings users expanded business value through:
* Enhanced visibility into third-party website content with images and graphs to display performance data related to content served by content delivery networks (CDNs) and ad-servers. This feature easily auto-configures as part of the dynaTrace dashboard, which conveys the precise performance impact of third-party content on application responsiveness and ultimately, the user experience.
* Browser diagnostics visualized provides precise screenshots of what end-users see and presents unparalleled details about browser-based application performance. dynaTrace now takes periodic screenshots of the browser window to show what happens when and in what sequence the browser renders the locations of Web pages. This true visibility from the user perspective identifies browser issues that cannot be seen from the data center, speeds the resolution of problems, and improves customer experience and satisfaction. Additionally, improved export capabilities and timer-based performance numbers make Browser Diagnostics a repeatable part of the development process.
* dynaTrace integration with Compuware Gomez Real-User Monitoring - Data Center provides real-time transaction status in role-specified dashboards across all application tiers. Additionally, users now gain deep diagnostic capability through a single click, enabling unprecedented root cause analysis. This also complements existing integration with the Gomez Web Load Testing and Synthetic Monitoring solutions.
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 ...