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ManageEngine Accelerates JBoss Troubleshooting at Red Hat Summit

ManageEngine launched key JBoss monitoring and user interface upgrades to its application performance monitoring solution, Applications Manager.

The move accelerates troubleshooting of the JBoss Application Server and JBoss Enterprise Application Platform by providing Applications Manager users with unmatched, real-time visibility and insight into the performance of JBoss servers and the Java EE applications that run on them.

ManageEngine is demonstrating Applications Manager and its new JBoss capabilities at the Red Hat Summit being held June 11-14, 2013, at the Hynes Convention Center in Boston. A bronze sponsor of the show, ManageEngine is in booth 1013 at the Red Hat partner pavilion.

JBoss continues to enjoy a dominant position in the application server market. Meanwhile, application trends driven by mobile and cloud technologies continue to position the application server - and by extension, JBoss - at the center of most companies' IT infrastructure. With a growing number of business-critical applications running on JBoss, IT teams need comprehensive, consolidated performance monitoring views of the JBoss servers to maximize service, minimize downtime and rapidly troubleshoot any issues.

"We enhanced Applications Manager's JBoss performance monitoring to help IT operations teams ensure their critical apps perform optimally at all times, all the while maintaining a low overhead on the JBoss server," said Sridhar Iyengar, VP, product management at ManageEngine. "But we didn't want to simply overwhelm IT teams with more data, so we also streamlined the user interface to accelerate performance tuning and troubleshooting."

Applications Manager now monitors a new set of JBoss key performance indicators, which were previously not exposed for monitoring by JBoss. The new monitored KPIs include metrics pertaining to memory usage, class loading, thread usage, transactions, JDBC data sources, persistence, as well as details about EJBs, servlets and JMS.

Similarly, Applications Manager now monitors JBoss transaction details with metrics such as transactions committed, aborted, timeout, nested, heuristics, inflight and more. Users will be notified if there are threshold violations for any of these metrics. Together, the new KPI and transaction information help IT teams quickly get to the root cause of performance problems, accelerating their overall troubleshooting efforts.

Applications Manager supports both agentless and agent-based monitoring for JBoss. IT teams can choose the methodology that best suits their requirements, using agent-based monitoring to collect more data or agentless monitoring to reduce overhead.

The JBoss monitor in Applications Manager has been simplified as part of an overall upgrade to the web client user interface. Now, the JBoss interface uses a multi-tabbed approach to display performance stats. Each tab shows performance metrics for a specific component, so users can see a lot of charts and stats without doing a lot of vertical scrolling.

Among its many benefits, JBoss monitoring helps IT personnel:

- Quickly identify problematic code and troubleshoot memory leaks in Java runtime before they impact customers.

- Track and optimize the user experience of business-critical applications deployed on JBoss by accurately gauging database performance, tracing transaction flow and viewing method-level metrics to quickly identify a performance bottleneck.

- Fine tune the JDBC connection pool settings to avoid timeouts, reduce overhead to transaction processing and maximize throughput on hardware.

- Reduce manual work for IT operations personnel by automating repetitive tasks such as automatically restarting the JBoss server when the memory usage exceeds threshold.

The new JBoss monitoring features are available immediately and included in the price of Applications Manager.

Related Links:

Download a free, fully functional, 30-day trial version of ManageEngine Applications Manager

More information on ManageEngine Applications Manager

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ManageEngine Accelerates JBoss Troubleshooting at Red Hat Summit

ManageEngine launched key JBoss monitoring and user interface upgrades to its application performance monitoring solution, Applications Manager.

The move accelerates troubleshooting of the JBoss Application Server and JBoss Enterprise Application Platform by providing Applications Manager users with unmatched, real-time visibility and insight into the performance of JBoss servers and the Java EE applications that run on them.

ManageEngine is demonstrating Applications Manager and its new JBoss capabilities at the Red Hat Summit being held June 11-14, 2013, at the Hynes Convention Center in Boston. A bronze sponsor of the show, ManageEngine is in booth 1013 at the Red Hat partner pavilion.

JBoss continues to enjoy a dominant position in the application server market. Meanwhile, application trends driven by mobile and cloud technologies continue to position the application server - and by extension, JBoss - at the center of most companies' IT infrastructure. With a growing number of business-critical applications running on JBoss, IT teams need comprehensive, consolidated performance monitoring views of the JBoss servers to maximize service, minimize downtime and rapidly troubleshoot any issues.

"We enhanced Applications Manager's JBoss performance monitoring to help IT operations teams ensure their critical apps perform optimally at all times, all the while maintaining a low overhead on the JBoss server," said Sridhar Iyengar, VP, product management at ManageEngine. "But we didn't want to simply overwhelm IT teams with more data, so we also streamlined the user interface to accelerate performance tuning and troubleshooting."

Applications Manager now monitors a new set of JBoss key performance indicators, which were previously not exposed for monitoring by JBoss. The new monitored KPIs include metrics pertaining to memory usage, class loading, thread usage, transactions, JDBC data sources, persistence, as well as details about EJBs, servlets and JMS.

Similarly, Applications Manager now monitors JBoss transaction details with metrics such as transactions committed, aborted, timeout, nested, heuristics, inflight and more. Users will be notified if there are threshold violations for any of these metrics. Together, the new KPI and transaction information help IT teams quickly get to the root cause of performance problems, accelerating their overall troubleshooting efforts.

Applications Manager supports both agentless and agent-based monitoring for JBoss. IT teams can choose the methodology that best suits their requirements, using agent-based monitoring to collect more data or agentless monitoring to reduce overhead.

The JBoss monitor in Applications Manager has been simplified as part of an overall upgrade to the web client user interface. Now, the JBoss interface uses a multi-tabbed approach to display performance stats. Each tab shows performance metrics for a specific component, so users can see a lot of charts and stats without doing a lot of vertical scrolling.

Among its many benefits, JBoss monitoring helps IT personnel:

- Quickly identify problematic code and troubleshoot memory leaks in Java runtime before they impact customers.

- Track and optimize the user experience of business-critical applications deployed on JBoss by accurately gauging database performance, tracing transaction flow and viewing method-level metrics to quickly identify a performance bottleneck.

- Fine tune the JDBC connection pool settings to avoid timeouts, reduce overhead to transaction processing and maximize throughput on hardware.

- Reduce manual work for IT operations personnel by automating repetitive tasks such as automatically restarting the JBoss server when the memory usage exceeds threshold.

The new JBoss monitoring features are available immediately and included in the price of Applications Manager.

Related Links:

Download a free, fully functional, 30-day trial version of ManageEngine Applications Manager

More information on ManageEngine Applications Manager

The Latest

In the world of digital-first business, there is no tolerance for service outages. Businesses know that outages are the quickest way to lose money and customers. For smaller organizations, unplanned downtime could even force the business to close ... A new study from PagerDuty, The State of AI-First Operations, reveals that companies actively incorporating AI into operations now view operational resilience as a growth driver rather than a cost center. But how are they achieving it? ...

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 ...

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