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BMC Introduces MainView for Java Environments

BMC announced MainView for Java Environments. This integrated systems management solution provides complete insight into how Java is consuming resources and affecting application performance on the modern mainframe.

"Java on the mainframe is being used to develop and deploy new applications faster and more economically to meet dynamically changing digital business needs and to take advantage of widely available programming skills" according to Tim Grieser, Program VP, Enterprise System Management Software, IDC. "However since Java manages its own resources it can consume excessive amounts of processor time and memory resources leading to performance or availability problems if not proactively managed. BMC offers a solution in it's MainView for Java Environments which monitors z/OS Java runtime environments and provides a consolidated view of all resources being consumed to help identify and manage performance issues before they impact end users."

Using BMC's MainView for Java Environments solution, Java can be deployed and managed with confidence, helping to unlock Java's potential on the mainframe. BMC's MainView for Java Environments is an integrated performance management solution that discovers and monitors JVMs. It provides a single graphical console to quickly understand the Java applications impact on resources and its affect on the performance of other applications and transactions. The solution helps to improve application performance and ensures availability while reducing Mean Time to Repair (MTTR) and lowering Monthly License Charges (MLC) by monitoring zIIP offloading. All of which increases productivity, lowers costs and helps IT quickly respond to the demands of the business.

"The digital economy is breathing new life into the mainframe platform with 80 percent of the world's corporate data residing on mainframes and 91 percent of all new client-facing applications accessing a mainframe," said Bill Miller, President of ZSolutions Optimization at BMC. "MainView for Java Environments is a testament to BMC's investment in transforming the mainframe for digital business – enabling enterprises to manage the bigger, faster demands hitting the mainframe today – and preparing them for the unknown demands of tomorrow."

To aid in the identification of JVMs in the mainframe environment, BMC is providing a limited time trial of BMC's MainView for Java Environments solution to existing MainView customers. The trial will allow enterprises to highlight the scope and magnitude of JVM instances and their significant impact on the performance and availability of other applications.

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BMC Introduces MainView for Java Environments

BMC announced MainView for Java Environments. This integrated systems management solution provides complete insight into how Java is consuming resources and affecting application performance on the modern mainframe.

"Java on the mainframe is being used to develop and deploy new applications faster and more economically to meet dynamically changing digital business needs and to take advantage of widely available programming skills" according to Tim Grieser, Program VP, Enterprise System Management Software, IDC. "However since Java manages its own resources it can consume excessive amounts of processor time and memory resources leading to performance or availability problems if not proactively managed. BMC offers a solution in it's MainView for Java Environments which monitors z/OS Java runtime environments and provides a consolidated view of all resources being consumed to help identify and manage performance issues before they impact end users."

Using BMC's MainView for Java Environments solution, Java can be deployed and managed with confidence, helping to unlock Java's potential on the mainframe. BMC's MainView for Java Environments is an integrated performance management solution that discovers and monitors JVMs. It provides a single graphical console to quickly understand the Java applications impact on resources and its affect on the performance of other applications and transactions. The solution helps to improve application performance and ensures availability while reducing Mean Time to Repair (MTTR) and lowering Monthly License Charges (MLC) by monitoring zIIP offloading. All of which increases productivity, lowers costs and helps IT quickly respond to the demands of the business.

"The digital economy is breathing new life into the mainframe platform with 80 percent of the world's corporate data residing on mainframes and 91 percent of all new client-facing applications accessing a mainframe," said Bill Miller, President of ZSolutions Optimization at BMC. "MainView for Java Environments is a testament to BMC's investment in transforming the mainframe for digital business – enabling enterprises to manage the bigger, faster demands hitting the mainframe today – and preparing them for the unknown demands of tomorrow."

To aid in the identification of JVMs in the mainframe environment, BMC is providing a limited time trial of BMC's MainView for Java Environments solution to existing MainView customers. The trial will allow enterprises to highlight the scope and magnitude of JVM instances and their significant impact on the performance and availability of other applications.

The Latest

In live financial environments, capital markets software cannot pause for rebuilds. New capabilities are introduced as stacked technology layers to meet evolving demands while systems remain active, data keeps moving, and controls stay intact. AI is no exception, and its opportunities are significant: accelerated decision cycles, compressed manual workflows, and more effective operations across complex environments. The constraint isn't the models themselves, but the architectural environments they enter ...

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.