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New Compuware APM for Mainframe Offers Deep Transaction Management for z/OS Applications

Compuware Corporation announced Compuware APM for Mainframe, offering deep transaction management from the edge through the mainframe.

By combining Compuware dynaTrace's patented PurePath Technology with Compuware Strobe's mainframe application management expertise, distributed system and mainframe teams can resolve performance problems faster, reduce MIPS costs, postpone hardware upgrades and accelerate time-to-market for new applications.

Compuware APM for Mainframe is available in two versions:

- PurePath for z/OS CICS: for monitoring CICS application transactions in a CICS region or CICSPlex

- PurePath for z/OS Java: for monitoring mainframe Java applications

"As applications mature in order to be delivered on mobile, tablet, and new interfaces many business still rely on tried and true mainframe processing for those transactions." said Jonah Kowall, Research Director at Gartner, Inc. "Triage and trace of transactions across these discrete tiers is a complex problem to solve, which is not helped by separate organizations, monitoring and other tooling ownership between these IT towers. This makes it difficult to determine the impact these transactions have on mainframe resource and application performance."

PurePath for z/OS provides unprecedented visibility into mainframe applications and reduces complexity in several unique ways:

- Deep Transaction Management From the Edge Into Mainframe CICS and Java Procedures: automatically discovers, maps and monitors all transactions through distributed tier and mainframe applications with complete mainframe CICS and Java transaction steps and timings.

- Mainframe CPU MIPS Savings: by optimizing transaction requests and improving application performance efficiency, expensive mainframe upgrades are eliminated or delayed.

- Zero-configuration Instrumentation: automatic discovery, transaction mapping and out-of-the-box dashboards for 100 percent deep visibility into mainframe transactions, with no code changes required; easy to deploy and manage.

- One-click Hotspot Analysis: provides faster mean-time-to-resolve (MTTR) with one-click hotspot analysis of mainframe applications, including long-running and highly distributed jobs. Shows root cause in minutes instead of hours or days.

- One-click Strobe Measurement Request: Strobe provides reporting and analysis for profiling mainframe WebSphere Application Server, WebSphere MQ, Message Broker, Enterprise Service Bus, CICS, IMS, Batch, DB2, CTG, JMS, Web Services, and Cobol, PL/I.

"The increasing need for mainframes to support real-time systems of engagement like banking, travel and retail has created a huge industry problem that hasn't been addressed -until now," said Bob Paul, Chief Executive Officer at Compuware Corporation.

"Typically when organizations have mobile, web or business applications that put performance pressures on the mainframe, they are blind and can't trace transactions from the distributed tiers deep into the mainframe. For the first time ever, with Compuware APM for Mainframe, we've extended deep transaction management into the mainframe. This innovation propels Compuware's APM leadership and our competitive advantage, by providing our customers with an unmatched new-generation APM offering for mainframe."

Compuware APM for Mainframe maps each mainframe transaction procedure, including timings to determine which procedure steps are taking longer than expected to complete.

With complete n-tier visibility from an end-user's browser across web and app servers, through message brokers into CICS and all the way to the database, operators can immediately determine the problem root cause and fix issues before they turn into serious problems.

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New Compuware APM for Mainframe Offers Deep Transaction Management for z/OS Applications

Compuware Corporation announced Compuware APM for Mainframe, offering deep transaction management from the edge through the mainframe.

By combining Compuware dynaTrace's patented PurePath Technology with Compuware Strobe's mainframe application management expertise, distributed system and mainframe teams can resolve performance problems faster, reduce MIPS costs, postpone hardware upgrades and accelerate time-to-market for new applications.

Compuware APM for Mainframe is available in two versions:

- PurePath for z/OS CICS: for monitoring CICS application transactions in a CICS region or CICSPlex

- PurePath for z/OS Java: for monitoring mainframe Java applications

"As applications mature in order to be delivered on mobile, tablet, and new interfaces many business still rely on tried and true mainframe processing for those transactions." said Jonah Kowall, Research Director at Gartner, Inc. "Triage and trace of transactions across these discrete tiers is a complex problem to solve, which is not helped by separate organizations, monitoring and other tooling ownership between these IT towers. This makes it difficult to determine the impact these transactions have on mainframe resource and application performance."

PurePath for z/OS provides unprecedented visibility into mainframe applications and reduces complexity in several unique ways:

- Deep Transaction Management From the Edge Into Mainframe CICS and Java Procedures: automatically discovers, maps and monitors all transactions through distributed tier and mainframe applications with complete mainframe CICS and Java transaction steps and timings.

- Mainframe CPU MIPS Savings: by optimizing transaction requests and improving application performance efficiency, expensive mainframe upgrades are eliminated or delayed.

- Zero-configuration Instrumentation: automatic discovery, transaction mapping and out-of-the-box dashboards for 100 percent deep visibility into mainframe transactions, with no code changes required; easy to deploy and manage.

- One-click Hotspot Analysis: provides faster mean-time-to-resolve (MTTR) with one-click hotspot analysis of mainframe applications, including long-running and highly distributed jobs. Shows root cause in minutes instead of hours or days.

- One-click Strobe Measurement Request: Strobe provides reporting and analysis for profiling mainframe WebSphere Application Server, WebSphere MQ, Message Broker, Enterprise Service Bus, CICS, IMS, Batch, DB2, CTG, JMS, Web Services, and Cobol, PL/I.

"The increasing need for mainframes to support real-time systems of engagement like banking, travel and retail has created a huge industry problem that hasn't been addressed -until now," said Bob Paul, Chief Executive Officer at Compuware Corporation.

"Typically when organizations have mobile, web or business applications that put performance pressures on the mainframe, they are blind and can't trace transactions from the distributed tiers deep into the mainframe. For the first time ever, with Compuware APM for Mainframe, we've extended deep transaction management into the mainframe. This innovation propels Compuware's APM leadership and our competitive advantage, by providing our customers with an unmatched new-generation APM offering for mainframe."

Compuware APM for Mainframe maps each mainframe transaction procedure, including timings to determine which procedure steps are taking longer than expected to complete.

With complete n-tier visibility from an end-user's browser across web and app servers, through message brokers into CICS and all the way to the database, operators can immediately determine the problem root cause and fix issues before they turn into serious problems.

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 ...