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eG Innovations Expands Converged Application and Infrastructure Performance Monitoring Solution with Code Level Visibility for Microsoft .NET Applications

eG Innovations announced the upcoming release of eG Enterprise 6.3, which introduces full-stack performance monitoring and diagnostic support for Microsoft .NET packaged and custom applications.

Building on eG Enterprise's Java application performance monitoring technology, the new version fully supports cross-technology organizations, and offers the industry's only unified and auto-correlated visibility into all Java and .NET application delivery – including the supporting cloud, physical or hybrid infrastructure – from a single web-based console.

"We're pleased to introduce eG Enterprise 6.3, the industry's first fully converged application and infrastructure monitoring solution for Microsoft and Java application environments," said Srinivas Ramanathan, CEO, eG Innovations. "With the latest enhancements, eG Enterprise provides performance transparency across all IT silos, enabling development and operations to manage the digital user experience as a truly unified team."

eG Enterprise 6.3 offers a complete performance assurance solution for organizations that rely on Microsoft technologies including Microsoft SharePoint and Microsoft Dynamics for internal communication and collaboration, external web presence, process management, and customer service. eG Enterprise's converged application and infrastructure performance monitoring solution helps these companies realize faster issue remediation, more efficient application rollouts, better application code, higher end-user satisfaction, increased productivity, and greater return from technology investments.

eG Enterprise .NET Application Performance Monitoring Key Features:

- Measure the real-time digital experience of users as they access .NET web applications

- Trace every single customer journey on distributed and SOA applications

- Visualize the flow of .NET transactions through multi-tiered IIS servers, databases, and external service calls

- Quickly identify which server tier is slowing down transaction processing

- Drill down to get .NET method-level and SQL query-level visibility, and identify the exact line of code having a problem

- Understand CLR dependencies with .NET applications and auto-discover service-level infrastructure topology

- Access deep diagnostics about the performance of IIS application pools, web sites, .NET framework, CLR, worker processes, and more

- Auto-correlate .NET application performance with the supporting infrastructure (Active Directory, database, storage, network, virtualization, cloud)

- Use built-in artificial intelligence to automatically pinpoint the root cause of application slowdowns and failures

- Leverage built-in reports and analytics for performance optimization, capacity planning and infrastructure right-sizing

Application performance management for Microsoft .NET is part of the eG Enterprise 6.3 release, which will be available in November 2017.

At Microsoft Ignite 2017 in Orlando Florida, September 25-29, visit eG Innovations at booth #1115.

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eG Innovations Expands Converged Application and Infrastructure Performance Monitoring Solution with Code Level Visibility for Microsoft .NET Applications

eG Innovations announced the upcoming release of eG Enterprise 6.3, which introduces full-stack performance monitoring and diagnostic support for Microsoft .NET packaged and custom applications.

Building on eG Enterprise's Java application performance monitoring technology, the new version fully supports cross-technology organizations, and offers the industry's only unified and auto-correlated visibility into all Java and .NET application delivery – including the supporting cloud, physical or hybrid infrastructure – from a single web-based console.

"We're pleased to introduce eG Enterprise 6.3, the industry's first fully converged application and infrastructure monitoring solution for Microsoft and Java application environments," said Srinivas Ramanathan, CEO, eG Innovations. "With the latest enhancements, eG Enterprise provides performance transparency across all IT silos, enabling development and operations to manage the digital user experience as a truly unified team."

eG Enterprise 6.3 offers a complete performance assurance solution for organizations that rely on Microsoft technologies including Microsoft SharePoint and Microsoft Dynamics for internal communication and collaboration, external web presence, process management, and customer service. eG Enterprise's converged application and infrastructure performance monitoring solution helps these companies realize faster issue remediation, more efficient application rollouts, better application code, higher end-user satisfaction, increased productivity, and greater return from technology investments.

eG Enterprise .NET Application Performance Monitoring Key Features:

- Measure the real-time digital experience of users as they access .NET web applications

- Trace every single customer journey on distributed and SOA applications

- Visualize the flow of .NET transactions through multi-tiered IIS servers, databases, and external service calls

- Quickly identify which server tier is slowing down transaction processing

- Drill down to get .NET method-level and SQL query-level visibility, and identify the exact line of code having a problem

- Understand CLR dependencies with .NET applications and auto-discover service-level infrastructure topology

- Access deep diagnostics about the performance of IIS application pools, web sites, .NET framework, CLR, worker processes, and more

- Auto-correlate .NET application performance with the supporting infrastructure (Active Directory, database, storage, network, virtualization, cloud)

- Use built-in artificial intelligence to automatically pinpoint the root cause of application slowdowns and failures

- Leverage built-in reports and analytics for performance optimization, capacity planning and infrastructure right-sizing

Application performance management for Microsoft .NET is part of the eG Enterprise 6.3 release, which will be available in November 2017.

At Microsoft Ignite 2017 in Orlando Florida, September 25-29, visit eG Innovations at booth #1115.

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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 ...

The gap is widening between what teams spend on observability tools and the value they receive amid surging data volumes and budget pressures, according to The Breaking Point for Observability Leaders, a report from Imply ...

Seamless shopping is a basic demand of today's boundaryless consumer — one with little patience for friction, limited tolerance for disconnected experiences and minimal hesitation in switching brands. Customers expect intuitive, highly personalized experiences and the ability to move effortlessly across physical and digital channels within the same journey. Failure to deliver can cost dearly ...

If your best engineers spend their days sorting tickets and resetting access, you are wasting talent. New global data shows that employees in the IT sector rank among the least motivated across industries. They're under a lot of pressure from many angles. Pressure to upskill and uncertainty around what agentic AI means for job security is creating anxiety. Meanwhile, these roles often function like an on-call job and require many repetitive tasks ...