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
In MEAN TIME TO INSIGHT Episode 14, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses hybrid multi-cloud network observability...
While companies adopt AI at a record pace, they also face the challenge of finding a smart and scalable way to manage its rapidly growing costs. This requires balancing the massive possibilities inherent in AI with the need to control cloud costs, aim for long-term profitability and optimize spending ...
Telecommunications is expanding at an unprecedented pace ... But progress brings complexity. As WanAware's 2025 Telecom Observability Benchmark Report reveals, many operators are discovering that modernization requires more than physical build outs and CapEx — it also demands the tools and insights to manage, secure, and optimize this fast-growing infrastructure in real time ...
As businesses increasingly rely on high-performance applications to deliver seamless user experiences, the demand for fast, reliable, and scalable data storage systems has never been greater. Redis — an open-source, in-memory data structure store — has emerged as a popular choice for use cases ranging from caching to real-time analytics. But with great performance comes the need for vigilant monitoring ...
Kubernetes was not initially designed with AI's vast resource variability in mind, and the rapid rise of AI has exposed Kubernetes limitations, particularly when it comes to cost and resource efficiency. Indeed, AI workloads differ from traditional applications in that they require a staggering amount and variety of compute resources, and their consumption is far less consistent than traditional workloads ... Considering the speed of AI innovation, teams cannot afford to be bogged down by these constant infrastructure concerns. A solution is needed ...
AI is the catalyst for significant investment in data teams as enterprises require higher-quality data to power their AI applications, according to the State of Analytics Engineering Report from dbt Labs ...
Misaligned architecture can lead to business consequences, with 93% of respondents reporting negative outcomes such as service disruptions, high operational costs and security challenges ...
A Gartner analyst recently suggested that GenAI tools could create 25% time savings for network operational teams. Where might these time savings come from? How are GenAI tools helping NetOps teams today, and what other tasks might they take on in the future as models continue improving? In general, these savings come from automating or streamlining manual NetOps tasks ...
IT and line-of-business teams are increasingly aligned in their efforts to close the data gap and drive greater collaboration to alleviate IT bottlenecks and offload growing demands on IT teams, according to The 2025 Automation Benchmark Report: Insights from IT Leaders on Enterprise Automation & the Future of AI-Driven Businesses from Jitterbit ...
A large majority (86%) of data management and AI decision makers cite protecting data privacy as a top concern, with 76% of respondents citing ROI on data privacy and AI initiatives across their organization, according to a new Harris Poll from Collibra ...