Skip to main content

eG Innovations Receives Awards for Cloud Performance Management

eG Innovations has received two awards for Best Private Cloud Coverage and Value Leadership from IT and data management research firm Enterprise Management Associates (EMA).

EMA’s recently released Radar Report™ entitled: “Application Performance Management (APM) for Cloud Services” ranks eG Innovations as a cloud performance management leader based on its product architecture, deep integration, ease of administration, deployment and cost advantages. Specifically, eG Innovations has been recognized as the management software vendor with the “Best Private Cloud Coverage” for its superior private cloud management capabilities and very strong support for virtualized environments. eG Innovations also earned EMA’s “Value Leader” distinction among 11 management software vendors providing a multi-component APM solution.

“We are truly impressed with eG Innovations cloud performance management solution,” said Julie Craig, EMA research director. “eG beats out most of the competition in terms of coverage for diverse virtual server environments as well as for its distinctive ‘top down’ and ‘bottom up’ real-time analytics. The eG Enterprise Suite includes multiple features that one would expect from more expensive solutions; their comprehensive support for virtual environments positions eG Innovations as a leader in terms of monitoring private cloud and public infrastructure as a service environments.”

This award is based on multiple functional capabilities, including:

Comprehensive Virtualization Coverage: eG Innovations supports monitoring, diagnosis and reporting for VMware vSphere, Citrix XenServer, Microsoft Hyper-V, Microsoft Virtual Server 2005, Solaris LDOMs, Solaris Containers, AIX LPARs, Red Hat Enterprise Virtualization (RHEV) and Oracle VirtualBox.

Patented Virtualization / Cloud-aware Correlation & Root Cause Diagnosis: Automatically correlates across metrics from different tiers to identify and fix issues before users call. eG Innovations’ correlation supports the dynamic inter-dependencies, such as VMware vMotions, that come with private clouds and provides deep visibility where traditional tools have limitations.

Universal Agent Technology: Contributes to cost and administration efficiency and delivers maximum deployment flexibility. A single agent is capable of monitoring over 150 applications, 10 different operating systems, and 9 different virtualization platforms.

“In-N-Out” Virtual Infrastructure Monitoring: Delivers both depth and breadth of insight into virtual application performance, a critical criterion for rapid and accurate diagnosis of performance problems. It is the only solution that provides both an outside view of a VM indicating the hypervisor’s physical resources used by a VM and an inside view of the VM indicating which application(s) and user(s) of the VM are causing the resource usage.

To read more about eG Innovations and download the summary of the EMA Radar™ for Application Performance Management (APM) for Cloud Services: Q1 2012 (eG Innovations profile), visit http://www.eginnovations.com/cloud.

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 ...

eG Innovations Receives Awards for Cloud Performance Management

eG Innovations has received two awards for Best Private Cloud Coverage and Value Leadership from IT and data management research firm Enterprise Management Associates (EMA).

EMA’s recently released Radar Report™ entitled: “Application Performance Management (APM) for Cloud Services” ranks eG Innovations as a cloud performance management leader based on its product architecture, deep integration, ease of administration, deployment and cost advantages. Specifically, eG Innovations has been recognized as the management software vendor with the “Best Private Cloud Coverage” for its superior private cloud management capabilities and very strong support for virtualized environments. eG Innovations also earned EMA’s “Value Leader” distinction among 11 management software vendors providing a multi-component APM solution.

“We are truly impressed with eG Innovations cloud performance management solution,” said Julie Craig, EMA research director. “eG beats out most of the competition in terms of coverage for diverse virtual server environments as well as for its distinctive ‘top down’ and ‘bottom up’ real-time analytics. The eG Enterprise Suite includes multiple features that one would expect from more expensive solutions; their comprehensive support for virtual environments positions eG Innovations as a leader in terms of monitoring private cloud and public infrastructure as a service environments.”

This award is based on multiple functional capabilities, including:

Comprehensive Virtualization Coverage: eG Innovations supports monitoring, diagnosis and reporting for VMware vSphere, Citrix XenServer, Microsoft Hyper-V, Microsoft Virtual Server 2005, Solaris LDOMs, Solaris Containers, AIX LPARs, Red Hat Enterprise Virtualization (RHEV) and Oracle VirtualBox.

Patented Virtualization / Cloud-aware Correlation & Root Cause Diagnosis: Automatically correlates across metrics from different tiers to identify and fix issues before users call. eG Innovations’ correlation supports the dynamic inter-dependencies, such as VMware vMotions, that come with private clouds and provides deep visibility where traditional tools have limitations.

Universal Agent Technology: Contributes to cost and administration efficiency and delivers maximum deployment flexibility. A single agent is capable of monitoring over 150 applications, 10 different operating systems, and 9 different virtualization platforms.

“In-N-Out” Virtual Infrastructure Monitoring: Delivers both depth and breadth of insight into virtual application performance, a critical criterion for rapid and accurate diagnosis of performance problems. It is the only solution that provides both an outside view of a VM indicating the hypervisor’s physical resources used by a VM and an inside view of the VM indicating which application(s) and user(s) of the VM are causing the resource usage.

To read more about eG Innovations and download the summary of the EMA Radar™ for Application Performance Management (APM) for Cloud Services: Q1 2012 (eG Innovations profile), visit http://www.eginnovations.com/cloud.

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 ...