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HP Accelerates Enterprise Agility Across Application Life Cycle with New SaaS Solutions

HP today announced new Software-as-a-Service (SaaS) solutions that speed application delivery and provide unparalleled visibility, collaboration and agility across often siloed or geographically dispersed application development and operations teams.

HP Agile Manager accelerates application time to market with an intuitive, web-based experience that offers visibility for planning, executing and tracking Agile development projects.

HP Agile Manager unifies and promotes collaboration with visibility into tasks, metrics and progress—whether for a single group or for multiple, geographically distributed teams across the enterprise. HP Agile Manager enables clients to:

- Simplify planning and capacity management across Agile teams by providing insight into projects, including the status of tasks and potential issues or bottlenecks impacting progress.

- Enhance insight into application quality with advanced source-code and build-management analytics for comprehensive traceability, rapid assessment of change and risk analysis.

- Foster collaboration through integrated development environment (IDE) integrations that allow developers to work with the tool of their choice, yet still work together to share information with other team members.

- Improve visibility into projects with real-time updates via customizable dashboards, which include metrics and key performance indicators (KPIs).

HP Agile Manager also provides two-way synchronization with HP Application Lifecycle Management (ALM) and HP Quality Center for enterprise quality management and continuous testing capabilities.

“As Specsavers’ business rapidly expands to provide new services for our customers, we must maintain a positive brand image and strong operational excellence,” said Jason Taylor, head, Delivery, Specsavers. “HP Agile Manager, together with HP ALM, provides increased visibility across application development and testing for better collaboration and risk control.”

HP Performance Anywhere proactively resolves application performance issues before they impact business services through a simple-to-use, on-demand solution that provides visibility and predictive analytics.

HP Performance Anywhere monitors applications across the web, via the cloud and in mobile environments. Now delivered as a service, it improves application performance while reducing up-front costs and lengthy implementations so clients can:

- Achieve faster time to value with automated, self-provisioned management and a simple-to-use interface.

- Improve brand equity with smart analytics that understand historic norms and detect abnormal performance to proactively identify potential problems.

- Rapidly resolve performance issues using an embedded social collaboration technology that allows development, testing and operations teams to work together and remediate application failures that may have resulted in production.

HP Performance Anywhere integrates easily with HP Agile Manager and HP Quality Center to further promote collaboration across development, test and operations teams to better align IT with business priorities. Both HP Agile Manager and HP Performance Anywhere are part of the HP Converged Cloud strategy.

“Enterprise agility results from the ability to quickly deploy simple-to-use, on-demand tools that provide visibility and collaboration across the application life cycle,” said Subbu Iyer, vice president, Product and Strategy, Software, HP. “Together, HP Agile Manager and HP Performance Anywhere provide intuitive, collaborative and analytical capabilities needed to enable development and operation teams to deliver business-driven results.”

HP Agile Manager

HP Performance Anywhere

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 ...

HP Accelerates Enterprise Agility Across Application Life Cycle with New SaaS Solutions

HP today announced new Software-as-a-Service (SaaS) solutions that speed application delivery and provide unparalleled visibility, collaboration and agility across often siloed or geographically dispersed application development and operations teams.

HP Agile Manager accelerates application time to market with an intuitive, web-based experience that offers visibility for planning, executing and tracking Agile development projects.

HP Agile Manager unifies and promotes collaboration with visibility into tasks, metrics and progress—whether for a single group or for multiple, geographically distributed teams across the enterprise. HP Agile Manager enables clients to:

- Simplify planning and capacity management across Agile teams by providing insight into projects, including the status of tasks and potential issues or bottlenecks impacting progress.

- Enhance insight into application quality with advanced source-code and build-management analytics for comprehensive traceability, rapid assessment of change and risk analysis.

- Foster collaboration through integrated development environment (IDE) integrations that allow developers to work with the tool of their choice, yet still work together to share information with other team members.

- Improve visibility into projects with real-time updates via customizable dashboards, which include metrics and key performance indicators (KPIs).

HP Agile Manager also provides two-way synchronization with HP Application Lifecycle Management (ALM) and HP Quality Center for enterprise quality management and continuous testing capabilities.

“As Specsavers’ business rapidly expands to provide new services for our customers, we must maintain a positive brand image and strong operational excellence,” said Jason Taylor, head, Delivery, Specsavers. “HP Agile Manager, together with HP ALM, provides increased visibility across application development and testing for better collaboration and risk control.”

HP Performance Anywhere proactively resolves application performance issues before they impact business services through a simple-to-use, on-demand solution that provides visibility and predictive analytics.

HP Performance Anywhere monitors applications across the web, via the cloud and in mobile environments. Now delivered as a service, it improves application performance while reducing up-front costs and lengthy implementations so clients can:

- Achieve faster time to value with automated, self-provisioned management and a simple-to-use interface.

- Improve brand equity with smart analytics that understand historic norms and detect abnormal performance to proactively identify potential problems.

- Rapidly resolve performance issues using an embedded social collaboration technology that allows development, testing and operations teams to work together and remediate application failures that may have resulted in production.

HP Performance Anywhere integrates easily with HP Agile Manager and HP Quality Center to further promote collaboration across development, test and operations teams to better align IT with business priorities. Both HP Agile Manager and HP Performance Anywhere are part of the HP Converged Cloud strategy.

“Enterprise agility results from the ability to quickly deploy simple-to-use, on-demand tools that provide visibility and collaboration across the application life cycle,” said Subbu Iyer, vice president, Product and Strategy, Software, HP. “Together, HP Agile Manager and HP Performance Anywhere provide intuitive, collaborative and analytical capabilities needed to enable development and operation teams to deliver business-driven results.”

HP Agile Manager

HP Performance Anywhere

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 ...