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HP Improves Enterprise Mobility with Cloud-Based Management Solution

HP Enterprise Services introduced HP Enterprise Cloud Services – Mobility, a cloud-based management solution that delivers secure anytime, anywhere access to applications and data from any mobile device.

HP Enterprise Cloud Services – Mobility meets the demands of balancing the responsibilities and requirements of IT with the challenges and expectations of users.

This new cloud solution is part of the HP Converged Cloud portfolio, which provides enterprises with the essential foundation of technologies and services to confidently build, operate and consume IT services.

The new solution provides fast and flexible deployment of tools and services for secure application access, file storage and sharing via multiple mobile platforms and all types of devices, including tablets and mobile phones. IT organizations are provided the tools to set appropriate security policies and the access controls to protect valuable corporate assets, applications and data.

The solution also allows users to download approved enterprise applications from a secure storefront, upload files to support collaboration and synchronize files between the HP cloud infrastructure and any mobile device. Mobile data is encrypted in transit and at rest, covering the device as well as the cloud infrastructure.

HP Enterprise Cloud Services – Mobility also provides the ability to configure cloud file storage that can scale up and down, and offers local storage options that address data sovereignty and compliance requirements.

“Mobility in the workplace continues to be a key focus and concern for IT executives,” said Pete Karolczak, Sr VP, HP Enterprise Services. “HP Enterprise Cloud Services – Mobility leverages HP’s strong cloud portfolio by providing clients with a mobility service that provides the highest level of user experience and productivity while minimizing risk for IT.”

HP Enterprise Cloud Services – Mobility integrates leading industry technologies, including solutions from Citrix and SAP, which are fully managed and maintained by HP to simplify deployment and ongoing operations.

HP Enterprise Cloud Services – Mobility is available globally with a set of service features and options priced and packaged to deliver both flexibility and a complete solution.

RELATED LINKS

Related Links:

HP Enterprise Cloud Services – Mobility

HP’s premier Americas client event, HP Discover, takes place June 11-13 in Las Vegas.

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 Improves Enterprise Mobility with Cloud-Based Management Solution

HP Enterprise Services introduced HP Enterprise Cloud Services – Mobility, a cloud-based management solution that delivers secure anytime, anywhere access to applications and data from any mobile device.

HP Enterprise Cloud Services – Mobility meets the demands of balancing the responsibilities and requirements of IT with the challenges and expectations of users.

This new cloud solution is part of the HP Converged Cloud portfolio, which provides enterprises with the essential foundation of technologies and services to confidently build, operate and consume IT services.

The new solution provides fast and flexible deployment of tools and services for secure application access, file storage and sharing via multiple mobile platforms and all types of devices, including tablets and mobile phones. IT organizations are provided the tools to set appropriate security policies and the access controls to protect valuable corporate assets, applications and data.

The solution also allows users to download approved enterprise applications from a secure storefront, upload files to support collaboration and synchronize files between the HP cloud infrastructure and any mobile device. Mobile data is encrypted in transit and at rest, covering the device as well as the cloud infrastructure.

HP Enterprise Cloud Services – Mobility also provides the ability to configure cloud file storage that can scale up and down, and offers local storage options that address data sovereignty and compliance requirements.

“Mobility in the workplace continues to be a key focus and concern for IT executives,” said Pete Karolczak, Sr VP, HP Enterprise Services. “HP Enterprise Cloud Services – Mobility leverages HP’s strong cloud portfolio by providing clients with a mobility service that provides the highest level of user experience and productivity while minimizing risk for IT.”

HP Enterprise Cloud Services – Mobility integrates leading industry technologies, including solutions from Citrix and SAP, which are fully managed and maintained by HP to simplify deployment and ongoing operations.

HP Enterprise Cloud Services – Mobility is available globally with a set of service features and options priced and packaged to deliver both flexibility and a complete solution.

RELATED LINKS

Related Links:

HP Enterprise Cloud Services – Mobility

HP’s premier Americas client event, HP Discover, takes place June 11-13 in Las Vegas.

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 ...