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New BlueStripe Performance Center for Windows Azure Pack Released

BlueStripe Software announced the release of the new BlueStripe Performance Center for Windows Azure Pack.

The BlueStripe Performance Center, a new part of BlueStripe’s award-winning FactFinder software, brings dynamic application tracking and performance monitoring to the built-in Windows Azure Pack management tools. Windows Azure Pack administrators and tenants alike now have a single view for managing application service delivery – including business service monitoring, hop-by-hop performance analysis and triage for distributed applications and their underlying components, all tied directly into the Azure Pack service management workflow.

The BlueStripe Performance Center extends Windows Azure Pack’s capabilities to provide unified business service monitoring and management. The Performance Center provides

- Live performance dashboards for applications and application tiers

- Dynamic application and dependency maps visualizing the virtual infrastructure in use

- Tight integration into Windows Azure Pack workflow allowing for seamless movement from analysis to remediation

The Performance Center can be configured to provide exactly the right level of capabilities for each end-user, so service providers can provide appropriate capabilities for their tenants.

With BlueStripe Performance Center working on Windows Azure Pack, systems administrators or application owners can start with the new performance dashboard which shows response time and dependency status for applications and application tiers. When a problem is identified, the administrator can jump immediately to a live application map that shows the entire application infrastructure with server and dependency roles as well as performance data for each component supporting the application. They can quickly identify the slow component, and drill in to solve the problem. The Performance Center provides bridges between the interconnected application and the underlying resources so the administrator can than move directly from slow applications to the Windows Azure Pack resource control for quick remediation.

“The BlueStripe Performance Center on Windows Azure Pack gives service providers and enterprise IT Operations teams a tremendous resource,” said Chris Neal, co-founder and CEO of BlueStripe Software. “Application context integrated into workflow is critical to the success of today’s IT Operations processes.”

“BlueStripe is bringing end-to-end application context to Windows Azure Pack clouds,” said Robert Reynolds, Principal Program Manager Lead for Windows Azure Pack, Microsoft. “With BlueStripe, Windows Azure Pack customers can offer application monitoring services to their users so they can monitor hosted applications across Azure Pack and Microsoft Azure.”

FactFinder automatically discovers, maps, and monitors all business transactions running within the data center and across the Cloud. FactFinder measures performance, hop-by-hop, everywhere that transactions go, across tiers, across platforms, and across architectures – even into virtual machines, public, private, and hybrid cloud, as well as third party services. When performance or availability problems occur, FactFinder follows the slow or hung transaction right to the problem component, and then drills down the server stack to determine why the problem occurred. The BlueStripe Performance Center brings FactFinder’s capabilities seamlessly into Windows Azure Pack.

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 ...

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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 ...

New BlueStripe Performance Center for Windows Azure Pack Released

BlueStripe Software announced the release of the new BlueStripe Performance Center for Windows Azure Pack.

The BlueStripe Performance Center, a new part of BlueStripe’s award-winning FactFinder software, brings dynamic application tracking and performance monitoring to the built-in Windows Azure Pack management tools. Windows Azure Pack administrators and tenants alike now have a single view for managing application service delivery – including business service monitoring, hop-by-hop performance analysis and triage for distributed applications and their underlying components, all tied directly into the Azure Pack service management workflow.

The BlueStripe Performance Center extends Windows Azure Pack’s capabilities to provide unified business service monitoring and management. The Performance Center provides

- Live performance dashboards for applications and application tiers

- Dynamic application and dependency maps visualizing the virtual infrastructure in use

- Tight integration into Windows Azure Pack workflow allowing for seamless movement from analysis to remediation

The Performance Center can be configured to provide exactly the right level of capabilities for each end-user, so service providers can provide appropriate capabilities for their tenants.

With BlueStripe Performance Center working on Windows Azure Pack, systems administrators or application owners can start with the new performance dashboard which shows response time and dependency status for applications and application tiers. When a problem is identified, the administrator can jump immediately to a live application map that shows the entire application infrastructure with server and dependency roles as well as performance data for each component supporting the application. They can quickly identify the slow component, and drill in to solve the problem. The Performance Center provides bridges between the interconnected application and the underlying resources so the administrator can than move directly from slow applications to the Windows Azure Pack resource control for quick remediation.

“The BlueStripe Performance Center on Windows Azure Pack gives service providers and enterprise IT Operations teams a tremendous resource,” said Chris Neal, co-founder and CEO of BlueStripe Software. “Application context integrated into workflow is critical to the success of today’s IT Operations processes.”

“BlueStripe is bringing end-to-end application context to Windows Azure Pack clouds,” said Robert Reynolds, Principal Program Manager Lead for Windows Azure Pack, Microsoft. “With BlueStripe, Windows Azure Pack customers can offer application monitoring services to their users so they can monitor hosted applications across Azure Pack and Microsoft Azure.”

FactFinder automatically discovers, maps, and monitors all business transactions running within the data center and across the Cloud. FactFinder measures performance, hop-by-hop, everywhere that transactions go, across tiers, across platforms, and across architectures – even into virtual machines, public, private, and hybrid cloud, as well as third party services. When performance or availability problems occur, FactFinder follows the slow or hung transaction right to the problem component, and then drills down the server stack to determine why the problem occurred. The BlueStripe Performance Center brings FactFinder’s capabilities seamlessly into Windows Azure Pack.

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 ...