Compuware Corporation and EZLegacy announced a partnership that provides customers with cross-platform automated analysis and metrics throughout the application lifecycle.
Under the agreement, Compuware will resell EZLegacy's EZSource: Analyze, Report and Dashboard, which fully automates all aspects of analysis and reporting across mainframe and distributed platforms, enabling technical teams to work consistently, more efficiently and with a higher degree of quality.
The growing complexity of enterprise applications poses new challenges to application developers, who are already expected to do more with less while managing heavy workloads. At the same time, the industry is facing a significant skills shortage, as highly experienced mainframe professionals who are experts in dealing with complex applications will consider retirement in the next few years. The EZSource toolkit complements Compuware's already comprehensive product offerings that together optimize developer productivity, reduce costs and improve software and service quality throughout the application life cycle.
Companies that use offshore providers for application development and maintenance will particularly benefit from the EZSource product suite. According to a recent independent study on the hidden costs of outsourcing, 80 percent of respondents claim difficulties with knowledge transfer is impacting the quality of outsourced projects. This often results in companies having to increase their investments in performance testing and troubleshooting due to the poor quality of work delivered by outsourcers. The EZSource toolkit addresses this knowledge gap by providing robust, automated analysis and measurements as well as detailed documentation and reporting, enabling outsourced teams to more easily verify code quality to make modifications to legacy applications and create new, high quality applications.
The suite includes:
- EZSource:Analyze -- automates source code analysis across platforms, enabling in-house developers as well as outsourced teams to take the guesswork out of determining which code needs to be modified -- and how those changes will impact other applications.
- EZSource:Report -- delivers automated, objective, metric-focused reporting and provides valuable insights such as "where used" and "dead code" occurrences, reducing overall application maintenance costs.
- EZSource:Dashboard -- provides IT managers a high level view of a company's application portfolio, including IT asset inventory, utilization, complexity, quality and resource consumption.
"There is a natural synergy between EZSource and Compuware's application management suite," said Eran Tirer, CEO, EZLegacy. "Application analysis and metrics are key to understanding the complexity, quality and cost of maintaining mainframe applications and, through that, reducing the level of technical debt."
"The EZLegacy portfolio aligns nicely with Compuware's mainframe solutions to help customers maintain and develop applications across the complete life cycle process," said Kris Manery, Senior Vice President and General Manager, Mainframe Solutions Business Unit, Compuware. "EZLegacy's ability to go beyond the mainframe and do impact analysis across mainframe and distributed, including SAP applications, is especially important given that in-house application knowledge is decreasing while application complexity is increasing. The addition of EZLegacy products will help Compuware deliver greater value to our customers across the globe."
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 ...