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ManageEngine Applications Manager Covers VMware vFabric RabbitMQ

ManageEngine, the real-time IT management company, announced its performance monitoring software package, Applications Manager, now supports VMware vFabric RabbitMQTM server.

The move extends the company’s single-pane-of-glass monitoring solution to include VMware's enterprise messaging middleware.

As more companies rely on cloud computing to drive business-critical services, messaging middleware helps ensure on-demand applications scale without sacrificing performance and reliability. VMware vFabric RabbitMQ is an ideal and increasingly popular messaging solution for cloud computing. Applications Manager support for VMware vFabric RabbitMQ is complementary to its VMware vFabric tc Server support.

Gibu Mathew, director of product management, ManageEngine, said, "Applications Manager provides insight across the entire IT infrastructure in real time, so administrators can take a proactive approach to monitoring. Now, critical web and SpringSource-based applications that leverage VMware vFabric RabbitMQ, VMware vFabric tc Server, and other VMware technologies can be monitored with a common tool, which is critical in complex IT environments."

ManageEngine Applications Manager tracks multiple key performance indicators of the VMware vFabric RabbitMQ server, including queues, messages, channels, connections and exchanges. These metrics help IT administrators easily understand how their VMware vFabric resources are being utilized and facilitate capacity planning. IT professionals can gain insight into which channels are publishing messages faster and which channels are consuming them more slowly.

When combined with the support for monitoring VMware vFabric tc Server, the RabbitMQ monitoring feature in Applications Manager helps offer deeper insight into the performance of cloud-based applications. Applications Manager provides:

* Out-of-the-box health and performance monitoring of VMware vFabric RabbitMQ

* Troubleshooting insight to reduce downtime and remove performance bottlenecks

* Comprehensive performance stats and in-depth reports

Applications Manager 10.3 - free 30-day trial version

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ManageEngine Applications Manager Covers VMware vFabric RabbitMQ

ManageEngine, the real-time IT management company, announced its performance monitoring software package, Applications Manager, now supports VMware vFabric RabbitMQTM server.

The move extends the company’s single-pane-of-glass monitoring solution to include VMware's enterprise messaging middleware.

As more companies rely on cloud computing to drive business-critical services, messaging middleware helps ensure on-demand applications scale without sacrificing performance and reliability. VMware vFabric RabbitMQ is an ideal and increasingly popular messaging solution for cloud computing. Applications Manager support for VMware vFabric RabbitMQ is complementary to its VMware vFabric tc Server support.

Gibu Mathew, director of product management, ManageEngine, said, "Applications Manager provides insight across the entire IT infrastructure in real time, so administrators can take a proactive approach to monitoring. Now, critical web and SpringSource-based applications that leverage VMware vFabric RabbitMQ, VMware vFabric tc Server, and other VMware technologies can be monitored with a common tool, which is critical in complex IT environments."

ManageEngine Applications Manager tracks multiple key performance indicators of the VMware vFabric RabbitMQ server, including queues, messages, channels, connections and exchanges. These metrics help IT administrators easily understand how their VMware vFabric resources are being utilized and facilitate capacity planning. IT professionals can gain insight into which channels are publishing messages faster and which channels are consuming them more slowly.

When combined with the support for monitoring VMware vFabric tc Server, the RabbitMQ monitoring feature in Applications Manager helps offer deeper insight into the performance of cloud-based applications. Applications Manager provides:

* Out-of-the-box health and performance monitoring of VMware vFabric RabbitMQ

* Troubleshooting insight to reduce downtime and remove performance bottlenecks

* Comprehensive performance stats and in-depth reports

Applications Manager 10.3 - free 30-day trial version

The Latest

80% of respondents agree that the IT role is shifting from operators to orchestrators, according to the 2026 IT Trends Report: The Human Side of Autonomous IT from SolarWinds ...

40% of organizations deploying AI will implement dedicated AI observability tools by 2028 to monitor model performance, bias and outputs, according to Gartner ...

Until AI-powered engineering tools have live visibility of how code behaves at runtime, they cannot be trusted to autonomously ensure reliable systems, according to the State of AI-Powered Engineering Report 2026 report from Lightrun. The report reveals that a major volume of manual work is required when AI-generated code is deployed: 43% of AI-generated code requires manual debugging in production, even after passing QA or staging tests. Furthermore, an average of three manual redeploy cycles are required to verify a single AI-suggested code fix in production ...

Many organizations describe AI as strategic, but they do not manage it strategically. When AI plans are disconnected from strategy, detached from organizational learning, and protected from serious assumptions testing, the problem is no longer technical immaturity; it is a failure of management discipline ... Executives too often tell organizations to "use AI" before they define what AI is supposed to change. The problem deepens in organizations where strategy isn't well articulated in the first place ...

Across the enterprise technology landscape, a quiet crisis is playing out. Organizations have run hundreds, sometimes thousands, of generative AI pilots. Leadership has celebrated the proof of concept (POCs) ... Industry experience points to a sobering reality: only 5-10% of AI POCs that progress to the pilot stage successfully reach scaled production. The remaining 90% fail because the enterprise environment around them was never ready to absorb them, not the AI models ...

Today's modern systems are not what they once were. Organizations now rely on distributed systems, event-driven workflows, hybrid and multi-cloud environments and continuous delivery pipelines. While each adds flexibility, it also introduces new, often invisible failures. Development speed is no longer the primary bottleneck of innovation. Reliability is ...

Seeing is believing, or in this case, seeing is understanding, according to New Relic's 2025 Observability Forecast for Retail and eCommerce report. Retailers who want to provide exceptional customer experiences while improving IT operations efficiency are leaning on observability ... Here are five key takeaways from the report ...

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Reliability is no longer proven by uptime alone, according to the The SRE Report 2026 from LogicMonitor. In the AI era, it is experienced through speed, consistency, and user trust, and increasingly judged by business impact. As digital services grow more complex and AI systems move into production, traditional monitoring approaches are struggling to keep pace, increasing the need for AI-first observability that spans applications, infrastructure, and the Internet ...

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