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Quest Debuts Foglight for Windows Azure Applications

Quest Software introduced Foglight for Windows Azure Applications, an application performance monitoring (APM) solution available via software-as-a-service (SaaS).

Available immediately as a beta, the newest addition to the industry-leading Foglight APM portfolio enables IT administrators to monitor performance and understand what end users are experiencing with Windows Azure-based applications.

Enterprises recognize that end users have high expectations from applications. The success or failure of an application often is determined by the end user’s experience in that application; however, IT administrators sometimes struggle to understand the end user experience, particularly within cloud-based applications.

Foglight for Windows Azure Applications enables enterprises to leverage cloud-based performance monitoring technology for applications built on the Windows Azure platform, and allows IT administrators to gain critical insight as to how end users interact with these applications.

Foglight for Azure Applications gives application owners and operators confidence that their users are getting the service expected, and the applications and infrastructure are performing optimally.

Specifically, the product provides:

- Insight at a glance into the current and historical availability, as well as the health of the application and its supporting infrastructure

- The ability to drill down into problems to understand both their impact and probable cause

- Insight into the quality of service experienced by the application’s users, combined with an at-a-glance view of response time, showing normal behavior and drawing attention to outliers

- A geographical view of performance and user location, drawing attention to problems affecting particular geographies rather than all users

- A true understanding of performance issues related to browser types, mobile device and other user agents, identifying compatibility issues and showing how users access the application

- Alarms that are reserved for truly important matters. In addition to appearing in the product, these can be forwarded to email clients so that IT staff are notified when critical issues arise, enabling them to take action when needed

“We have entered a new era with cloud platforms like Windows Azure," Steve Rosenberg, VP and GM – Performance Monitoring, Quest Software. "IT organizations now have the ability for extremely rapid and cost-effective application delivery. Our enterprise customers tell us that to capitalize upon this, they must have independent performance monitoring that provides insight into what end users experience with these applications. With the introduction of Foglight for Windows Azure Applications, we now offer performance monitoring solutions that enable enterprise IT departments to have a true picture of the end user’s actual experience with Windows Azure-based applications, quickly and proactively pinpoint performance issues, and resolve those issues before they impact the business.”

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Quest Debuts Foglight for Windows Azure Applications

Quest Software introduced Foglight for Windows Azure Applications, an application performance monitoring (APM) solution available via software-as-a-service (SaaS).

Available immediately as a beta, the newest addition to the industry-leading Foglight APM portfolio enables IT administrators to monitor performance and understand what end users are experiencing with Windows Azure-based applications.

Enterprises recognize that end users have high expectations from applications. The success or failure of an application often is determined by the end user’s experience in that application; however, IT administrators sometimes struggle to understand the end user experience, particularly within cloud-based applications.

Foglight for Windows Azure Applications enables enterprises to leverage cloud-based performance monitoring technology for applications built on the Windows Azure platform, and allows IT administrators to gain critical insight as to how end users interact with these applications.

Foglight for Azure Applications gives application owners and operators confidence that their users are getting the service expected, and the applications and infrastructure are performing optimally.

Specifically, the product provides:

- Insight at a glance into the current and historical availability, as well as the health of the application and its supporting infrastructure

- The ability to drill down into problems to understand both their impact and probable cause

- Insight into the quality of service experienced by the application’s users, combined with an at-a-glance view of response time, showing normal behavior and drawing attention to outliers

- A geographical view of performance and user location, drawing attention to problems affecting particular geographies rather than all users

- A true understanding of performance issues related to browser types, mobile device and other user agents, identifying compatibility issues and showing how users access the application

- Alarms that are reserved for truly important matters. In addition to appearing in the product, these can be forwarded to email clients so that IT staff are notified when critical issues arise, enabling them to take action when needed

“We have entered a new era with cloud platforms like Windows Azure," Steve Rosenberg, VP and GM – Performance Monitoring, Quest Software. "IT organizations now have the ability for extremely rapid and cost-effective application delivery. Our enterprise customers tell us that to capitalize upon this, they must have independent performance monitoring that provides insight into what end users experience with these applications. With the introduction of Foglight for Windows Azure Applications, we now offer performance monitoring solutions that enable enterprise IT departments to have a true picture of the end user’s actual experience with Windows Azure-based applications, quickly and proactively pinpoint performance issues, and resolve those issues before they impact the business.”

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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 ...

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 ...