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ASG Launches ASG-TMON Performance Management Solution for IBM DB2 v10

ASG Software Solutions, a provider of enterprise IT software solutions, launched ASG-TMON for DB2 version 5.0.

The redesigned release of the performance management offering provides support for the latest version of IBM DB2 V10 on zSeries and the scalability for organizations to meet the challenges of complex enterprise IT systems.

ASG developed this release in tandem with IBM to leverage the state of the art monitoring interfaces provided by IBM which allows IT personnel to quickly and accurately target the root cause of any DB2 performance issue. This ensures fast resolution and provides end-users with an optimal workplace experience with minimal disruption.

With ASG-TMON for DB2, organizations can track and evaluate the performance of all DB2 subsystems through a single view to quickly identify and correct any performance slowdowns affecting their business applications.

“The IT landscape has shifted dramatically over the last year and organizations simply cannot afford performance management issues in IT,” said Scott McCurdy, Senior VP of Product Management at ASG. “With ASG-TMON for DB2, ASG provides IT with the tools necessary to quickly and accurately resolve any issues as they arise. This helps provide enterprises with the ability to operate the business at a high level, positioning the organization ahead of competitors that continue to be plagued with IT delays and downtime.”

ASG-TMON for DB2, along with the SQL Analyzer feature, offers organizations the ability to greatly improve overall IBM DB2 availability by proactively managing IBM DB2 applications and critical resources. Together, these solutions provide organizations with the insight needed to quickly resolve complex IBM DB2 and SQL issues, resulting in optimized end user response times and maximized IBM DB2 application availability.

Further, the reporting functionality provides organizations with online reports to track and analyze performance trends across systems and time frames to correct any repeat issues within the IT environment.

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ASG Launches ASG-TMON Performance Management Solution for IBM DB2 v10

ASG Software Solutions, a provider of enterprise IT software solutions, launched ASG-TMON for DB2 version 5.0.

The redesigned release of the performance management offering provides support for the latest version of IBM DB2 V10 on zSeries and the scalability for organizations to meet the challenges of complex enterprise IT systems.

ASG developed this release in tandem with IBM to leverage the state of the art monitoring interfaces provided by IBM which allows IT personnel to quickly and accurately target the root cause of any DB2 performance issue. This ensures fast resolution and provides end-users with an optimal workplace experience with minimal disruption.

With ASG-TMON for DB2, organizations can track and evaluate the performance of all DB2 subsystems through a single view to quickly identify and correct any performance slowdowns affecting their business applications.

“The IT landscape has shifted dramatically over the last year and organizations simply cannot afford performance management issues in IT,” said Scott McCurdy, Senior VP of Product Management at ASG. “With ASG-TMON for DB2, ASG provides IT with the tools necessary to quickly and accurately resolve any issues as they arise. This helps provide enterprises with the ability to operate the business at a high level, positioning the organization ahead of competitors that continue to be plagued with IT delays and downtime.”

ASG-TMON for DB2, along with the SQL Analyzer feature, offers organizations the ability to greatly improve overall IBM DB2 availability by proactively managing IBM DB2 applications and critical resources. Together, these solutions provide organizations with the insight needed to quickly resolve complex IBM DB2 and SQL issues, resulting in optimized end user response times and maximized IBM DB2 application availability.

Further, the reporting functionality provides organizations with online reports to track and analyze performance trends across systems and time frames to correct any repeat issues within the IT environment.

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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 ...

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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 ...