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New HP BSM 9.1 Includes Predictive Analytics

Introducing the new HP Service Health Analyzer

HP has released HP Business Service Management (BSM) 9.1 to help organizations anticipate IT incidents before they happen, and remediate potential issues before they impact IT operations and the organization.

HP BSM 9.1 is a key component of the HP IT Performance Suite, the next-generation enterprise performance platform that enables IT management to improve performance with operational intelligence.

HP BSM 9.1 automatically gathers information about services, applications, infrastructure and network performance. This enables clients to track performance changes and quickly identify root causes of performance or availability issues.

A new module to HP BSM 9.1 is HP Service Health Analyzer (SHA), a zero-configuration, zero-maintenance predictive analytics product built on top of the HP run-time service model. The HP run-time service model provides a real-time view of application services, whether the applications are running on- or off-premise, in physical or virtual environment. Developed with HP Labs, the company’s research arm, HP SHA correlates IT performance abnormalities with historical performance data, anticipating disruptions and enabling clients to take action before IT services are impaired.

In real time, HP SHA sifts through large amounts of complex data in mobile, physical, virtual and cloud environments in real time to deliver actionable insight. Leveraging the HP run-time service model, HP SHA analyzes historical norms and current trends of both applications and infrastructure data to correlate metric abnormalities with topology, or mapping. When HP SHA uncovers performance metrics that do not correlate with historical trends, it sends an alert to the event management tool and initiates automated remediation to fix the problem.

HP BSM 9.1 also provides clients:

Improved service levels by monitoring performance of mobile applications as well as public clouds from Amazon Web Services and Microsoft® Azure. HP BSM 9.1 anticipates performance spikes and automatically adds cloud capacity on demand.

Simplified management of operations and security issues through a single console by integrating HP BSM 9.1 with HP ArcSight Logger and ArcSight ESM, unifying search, reports, alerts and analysis across any type of IT events, providing stronger collaboration between security and operations personnel.

A centralized console for correlation and root cause analysis of HP BSM and third-party events including Microsoft System Configuration Manager and Nagios, an open source monitoring product based on a dynamic topology, or mapping, model.

Improved collaboration between development, operations and security teams with new add-on collaboration capabilities, access to HP BSM integrations to joint clients through HP Live Network, plus added support for accessing HP BSM on mobile devices.

Enhanced risk management and reduced costs with new Upgrade Services from HP Software Professional Services that accelerates adoption of the new HP BSM 9.1 features via multiple upgrade options.

Greater insight to maintain, enhance and expand HP BSM 9.1 software with the new Education Services from HP Software Education Services.

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 ...

New HP BSM 9.1 Includes Predictive Analytics

Introducing the new HP Service Health Analyzer

HP has released HP Business Service Management (BSM) 9.1 to help organizations anticipate IT incidents before they happen, and remediate potential issues before they impact IT operations and the organization.

HP BSM 9.1 is a key component of the HP IT Performance Suite, the next-generation enterprise performance platform that enables IT management to improve performance with operational intelligence.

HP BSM 9.1 automatically gathers information about services, applications, infrastructure and network performance. This enables clients to track performance changes and quickly identify root causes of performance or availability issues.

A new module to HP BSM 9.1 is HP Service Health Analyzer (SHA), a zero-configuration, zero-maintenance predictive analytics product built on top of the HP run-time service model. The HP run-time service model provides a real-time view of application services, whether the applications are running on- or off-premise, in physical or virtual environment. Developed with HP Labs, the company’s research arm, HP SHA correlates IT performance abnormalities with historical performance data, anticipating disruptions and enabling clients to take action before IT services are impaired.

In real time, HP SHA sifts through large amounts of complex data in mobile, physical, virtual and cloud environments in real time to deliver actionable insight. Leveraging the HP run-time service model, HP SHA analyzes historical norms and current trends of both applications and infrastructure data to correlate metric abnormalities with topology, or mapping. When HP SHA uncovers performance metrics that do not correlate with historical trends, it sends an alert to the event management tool and initiates automated remediation to fix the problem.

HP BSM 9.1 also provides clients:

Improved service levels by monitoring performance of mobile applications as well as public clouds from Amazon Web Services and Microsoft® Azure. HP BSM 9.1 anticipates performance spikes and automatically adds cloud capacity on demand.

Simplified management of operations and security issues through a single console by integrating HP BSM 9.1 with HP ArcSight Logger and ArcSight ESM, unifying search, reports, alerts and analysis across any type of IT events, providing stronger collaboration between security and operations personnel.

A centralized console for correlation and root cause analysis of HP BSM and third-party events including Microsoft System Configuration Manager and Nagios, an open source monitoring product based on a dynamic topology, or mapping, model.

Improved collaboration between development, operations and security teams with new add-on collaboration capabilities, access to HP BSM integrations to joint clients through HP Live Network, plus added support for accessing HP BSM on mobile devices.

Enhanced risk management and reduced costs with new Upgrade Services from HP Software Professional Services that accelerates adoption of the new HP BSM 9.1 features via multiple upgrade options.

Greater insight to maintain, enhance and expand HP BSM 9.1 software with the new Education Services from HP Software Education Services.

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 ...