Skip to main content

HP Expands Testing for Mobile and Cloud-based Application Delivery

HP announced new offerings to accelerate mobile and cloud-based testing and improve user experience while increasing cost savings and quality for the delivery of business-critical applications and services.

To help organizations drive quality, performance and velocity into their mobile, cloud, hybrid and traditional applications, HP is unveiling new versions of the products within its HP Application Lifecycle Management portfolio.

The new software offerings help enterprises improve planning and development, shrink testing costs and speed the delivery of applications while continuously reducing potential business disruptions.

To help improve continuous performance testing for capacity, scalability and reliability, HP is introducing HP LoadRunner 12 and HP Performance Center 12 with new cloud testing capabilities designed to help organizations:

- Increase cost savings with instant access to large-scale load-generation capabilities in the cloud. Enterprises can scale performance-testing resources on flexible cloud platforms based on business and geographic demands.

- Shrink overhead through an integrated management environment that automates provisioning of load generators in the cloud across geographically dispersed teams while maintaining security and control.

- Reduce business disruptions by focusing testing efforts and improving test results with enhanced DevOps capabilities for an end-to-end performance application life cycle. This is achieved through continuous integration with developer tools such as Jenkins and integration with production monitoring tools such as Google Analytics.

- Detect and remediate performance issues before they become costly to the organization by integrating load testing earlier in the Agile development life cycle.

HP’s new functional and performance testing products are designed to help enterprises embrace mobile testing by enabling faster delivery of engaging applications without jeopardizing quality. The enhanced offerings let organizations:

- Run field tests on mobile devices to extend quality assurance to offline scenarios. A new suite of mobile applications built on the HP Anywhere Enterprise Mobility Platform enable access to test scripts and allow test results and defects to be easily uploaded into HP Application Lifecycle Management and HP Quality Center Enterprise while the tester is on the go.

- Empower testers to manually test mobile applications faster and eliminate defects that impact mobile application functionality more efficiently with HP Sprinter for Mobile.

- Improve the accuracy and reliability of performance testing with enhancements to Shunra Network Virtualization for HP Software to emulate real-world network conditions, which is vital for enabling a quality user experiences.

- Remove delays and constraints that impede fast-moving mobile application delivery teams by identifying potential performance issues early with HP Service Virtualization 3.5. By integrating service and network virtualization on the same platform, teams can test the behavior of virtual services on realistic network conditions.

To help organizations successfully deliver the experiences their employees, customers and partners expect, HP offers HP Application Lifecycle Management 12 and HP Quality Center Enterprise 12, which now deliver:

- A simplified and intuitive user interface (UI) design accessible across browsers and mobile devices, helping IT organizations become more effective and efficient at delivering business-critical applications.

- New requirements definition and management features provide a comprehensive Word-like authoring environment with full traceability throughout the application life cycle. Integration with HP Agile Manager enables critical alignment between business requirements definition and Agile development processes.

HP Unified Functional Testing 12 helps IT organizations adopt and apply functional test automation more efficiently to meet the quality needs of distributed and Agile teams by:

- Eliminating potential errors by integrating quality assurance earlier into application development. Extended support for technologies including Safari, and API testing enhancements enable quicker release cycles.

- Reducing costs by simplifying test automation with HP Business Process Testing 12 embedded in the UI. This enables users to create automated tests that can be instantly transformed into reusable business components directly from the same application.

- Test more efficiently and continuously with direct integrations into HP Application Lifecycle Management and HP Quality Center Enterprise for enterprise test management and continuous integration solutions.

HP Application Lifecycle Management 12, HP Quality Center Enterprise 12, HP Performance Center 12, HP LoadRunner 12, HP Unified Functional Testing 12, HP Sprinter for Mobile and HP Business Process Testing 12 are available worldwide from HP and its ecosystem of worldwide channel partners.

HP Service Virtualization 3.5 is expected to be available at the end of March.

HP Application Lifecycle Management 12, HP Quality Center Enterprise 12, HP Performance Center 12, HP Unified Functional Testing 12 and HP Business Process Testing 12 are expected to be available for SaaS environments starting in April.

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 Expands Testing for Mobile and Cloud-based Application Delivery

HP announced new offerings to accelerate mobile and cloud-based testing and improve user experience while increasing cost savings and quality for the delivery of business-critical applications and services.

To help organizations drive quality, performance and velocity into their mobile, cloud, hybrid and traditional applications, HP is unveiling new versions of the products within its HP Application Lifecycle Management portfolio.

The new software offerings help enterprises improve planning and development, shrink testing costs and speed the delivery of applications while continuously reducing potential business disruptions.

To help improve continuous performance testing for capacity, scalability and reliability, HP is introducing HP LoadRunner 12 and HP Performance Center 12 with new cloud testing capabilities designed to help organizations:

- Increase cost savings with instant access to large-scale load-generation capabilities in the cloud. Enterprises can scale performance-testing resources on flexible cloud platforms based on business and geographic demands.

- Shrink overhead through an integrated management environment that automates provisioning of load generators in the cloud across geographically dispersed teams while maintaining security and control.

- Reduce business disruptions by focusing testing efforts and improving test results with enhanced DevOps capabilities for an end-to-end performance application life cycle. This is achieved through continuous integration with developer tools such as Jenkins and integration with production monitoring tools such as Google Analytics.

- Detect and remediate performance issues before they become costly to the organization by integrating load testing earlier in the Agile development life cycle.

HP’s new functional and performance testing products are designed to help enterprises embrace mobile testing by enabling faster delivery of engaging applications without jeopardizing quality. The enhanced offerings let organizations:

- Run field tests on mobile devices to extend quality assurance to offline scenarios. A new suite of mobile applications built on the HP Anywhere Enterprise Mobility Platform enable access to test scripts and allow test results and defects to be easily uploaded into HP Application Lifecycle Management and HP Quality Center Enterprise while the tester is on the go.

- Empower testers to manually test mobile applications faster and eliminate defects that impact mobile application functionality more efficiently with HP Sprinter for Mobile.

- Improve the accuracy and reliability of performance testing with enhancements to Shunra Network Virtualization for HP Software to emulate real-world network conditions, which is vital for enabling a quality user experiences.

- Remove delays and constraints that impede fast-moving mobile application delivery teams by identifying potential performance issues early with HP Service Virtualization 3.5. By integrating service and network virtualization on the same platform, teams can test the behavior of virtual services on realistic network conditions.

To help organizations successfully deliver the experiences their employees, customers and partners expect, HP offers HP Application Lifecycle Management 12 and HP Quality Center Enterprise 12, which now deliver:

- A simplified and intuitive user interface (UI) design accessible across browsers and mobile devices, helping IT organizations become more effective and efficient at delivering business-critical applications.

- New requirements definition and management features provide a comprehensive Word-like authoring environment with full traceability throughout the application life cycle. Integration with HP Agile Manager enables critical alignment between business requirements definition and Agile development processes.

HP Unified Functional Testing 12 helps IT organizations adopt and apply functional test automation more efficiently to meet the quality needs of distributed and Agile teams by:

- Eliminating potential errors by integrating quality assurance earlier into application development. Extended support for technologies including Safari, and API testing enhancements enable quicker release cycles.

- Reducing costs by simplifying test automation with HP Business Process Testing 12 embedded in the UI. This enables users to create automated tests that can be instantly transformed into reusable business components directly from the same application.

- Test more efficiently and continuously with direct integrations into HP Application Lifecycle Management and HP Quality Center Enterprise for enterprise test management and continuous integration solutions.

HP Application Lifecycle Management 12, HP Quality Center Enterprise 12, HP Performance Center 12, HP LoadRunner 12, HP Unified Functional Testing 12, HP Sprinter for Mobile and HP Business Process Testing 12 are available worldwide from HP and its ecosystem of worldwide channel partners.

HP Service Virtualization 3.5 is expected to be available at the end of March.

HP Application Lifecycle Management 12, HP Quality Center Enterprise 12, HP Performance Center 12, HP Unified Functional Testing 12 and HP Business Process Testing 12 are expected to be available for SaaS environments starting in April.

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 ...