Skip to main content

HP Announces HP Converged Cloud

HP introduced HP Converged Cloud, the industry's first hybrid delivery approach and portfolio based on a common architecture spanning traditional IT, private, managed and public clouds.

Engineered for the enterprise, HP Converged Cloud extends the power of the cloud across infrastructure, applications and information to provide:

* Choice – through an open, standards-based approach supporting multiple hypervisors, operating systems and development environments as well as a heterogeneous infrastructure and an extensible partner ecosystem.

* Confidence – through a management and security offering that spans information, applications and infrastructure.

* Consistency – through a single common architecture.

HP Converged Cloud brings together industry-leading HP Converged Infrastructure, HP Converged Management and Security, Converged Information and hardened OpenStack technology.

"The convergence of cloud computing and mobile connectivity is changing the way infrastructures are built, applications are developed and information is delivered," said Bill Veghte, chief strategy officer and executive vice president, Software, HP. "HP Converged Cloud enables enterprises to incorporate a blend of public, private and managed cloud services with their existing IT to create a seamless hybrid environment that rapidly adapts to their changing requirements."

New research highlights the need for a new approach

Research commissioned by HP reveals that organizations are undergoing major shifts in how services are delivered. It also highlights how cloud offerings are increasingly being sourced without IT department approvals.

The survey indicated that almost one in every two enterprises had departments running non-IT-sanctioned cloud solutions, and a full 18 percent indicated they were unsure. With the projected use of private and public cloud models doubling by 2020, successful organizations will need to find a way to embrace these solutions without adding additional complexity and risk to their environments.

New HP Converged Cloud portfolio offerings

HP Public Cloud for next generation of web applications – HP Cloud Services will deliver its initial offering, HP Public Infrastructure as a Service, as a public beta starting May 10.

The offering provides on-demand compute instances or virtual machines, scalable online storage capacity and accelerated delivery of cached content to end users. As a result, developers are able to deploy services within minutes and pay only for the resources they use.

Also on May 10, HP Cloud Services will introduce, as a private beta, two additional Infrastructure-as-a-Service offerings: a relational database service for MySQL, and a block storage service that supports movement of data from one compute instance to another.

Managing hybrid delivery environments – HP's new Cloud Maps extend HP's integrated, open solution by providing prepackaged application templates that create a customized catalog of application services ready for push-button deployment. Together with HP CloudSystem, HP Cloud Maps can reduce the time to create new cloud services for enterprise applications from months to minutes.

To help test these applications, HP also announced HP Service Virtualization 2.0. This software offering enables clients to test the quality and performance of cloud or mobile applications without disrupting production systems. This is accomplished by offering access to restricted services in a simulated, virtualized environment.

To address the bottlenecks enterprises often experience when developing new cloud services on complex, legacy networks, HP is introducing HP Virtual Application Networks. The solution speeds application deployment, automates management and ensures network service levels in delivering cloud and virtualized applications across the HP FlexNetwork architecture.

To help clients get the most out of these networks, HP is launching two new networking services. HP Virtual Network Protection Service leverages best practices to set the baseline for security at the network virtualization management layer, which helps to mitigate common threats. HP Network Cloud Optimization Service helps clients enhance their network to improve cloud-based service delivery by up to 93 percent compared to traditional download techniques.

For clients who do not wish to manage their own clouds, HP announced new HP Enterprise Cloud Services that provide offerings for private clouds, continuity services and unified communications. By outsourcing cloud management to a trusted IT provider, clients can leverage on-demand usage and pricing models to redirect cost savings to other strategic projects.

In addition to its leadership portfolio, HP has extensive experience in cloud computing. Autonomy, an HP company, announced that its private cloud has passed a new data-processing milestone, extending its lead as the world’s largest private cloud. The Autonomy private cloud, powered by the Autonomy Intelligent Data Operating Layer (IDOL), now manages more than 50 petabytes of web content, video, email and multimedia data on 6,500 servers in 14 data centers around the world.

To further extend the portfolio, HP also announced new HP Engineering Cloud Transformation Services that help product development and engineering design teams confidently embrace the cloud to improve productivity and rapidly bring new products to market.

Click here for more information about HP’s new cloud solutions and 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 ...

HP Announces HP Converged Cloud

HP introduced HP Converged Cloud, the industry's first hybrid delivery approach and portfolio based on a common architecture spanning traditional IT, private, managed and public clouds.

Engineered for the enterprise, HP Converged Cloud extends the power of the cloud across infrastructure, applications and information to provide:

* Choice – through an open, standards-based approach supporting multiple hypervisors, operating systems and development environments as well as a heterogeneous infrastructure and an extensible partner ecosystem.

* Confidence – through a management and security offering that spans information, applications and infrastructure.

* Consistency – through a single common architecture.

HP Converged Cloud brings together industry-leading HP Converged Infrastructure, HP Converged Management and Security, Converged Information and hardened OpenStack technology.

"The convergence of cloud computing and mobile connectivity is changing the way infrastructures are built, applications are developed and information is delivered," said Bill Veghte, chief strategy officer and executive vice president, Software, HP. "HP Converged Cloud enables enterprises to incorporate a blend of public, private and managed cloud services with their existing IT to create a seamless hybrid environment that rapidly adapts to their changing requirements."

New research highlights the need for a new approach

Research commissioned by HP reveals that organizations are undergoing major shifts in how services are delivered. It also highlights how cloud offerings are increasingly being sourced without IT department approvals.

The survey indicated that almost one in every two enterprises had departments running non-IT-sanctioned cloud solutions, and a full 18 percent indicated they were unsure. With the projected use of private and public cloud models doubling by 2020, successful organizations will need to find a way to embrace these solutions without adding additional complexity and risk to their environments.

New HP Converged Cloud portfolio offerings

HP Public Cloud for next generation of web applications – HP Cloud Services will deliver its initial offering, HP Public Infrastructure as a Service, as a public beta starting May 10.

The offering provides on-demand compute instances or virtual machines, scalable online storage capacity and accelerated delivery of cached content to end users. As a result, developers are able to deploy services within minutes and pay only for the resources they use.

Also on May 10, HP Cloud Services will introduce, as a private beta, two additional Infrastructure-as-a-Service offerings: a relational database service for MySQL, and a block storage service that supports movement of data from one compute instance to another.

Managing hybrid delivery environments – HP's new Cloud Maps extend HP's integrated, open solution by providing prepackaged application templates that create a customized catalog of application services ready for push-button deployment. Together with HP CloudSystem, HP Cloud Maps can reduce the time to create new cloud services for enterprise applications from months to minutes.

To help test these applications, HP also announced HP Service Virtualization 2.0. This software offering enables clients to test the quality and performance of cloud or mobile applications without disrupting production systems. This is accomplished by offering access to restricted services in a simulated, virtualized environment.

To address the bottlenecks enterprises often experience when developing new cloud services on complex, legacy networks, HP is introducing HP Virtual Application Networks. The solution speeds application deployment, automates management and ensures network service levels in delivering cloud and virtualized applications across the HP FlexNetwork architecture.

To help clients get the most out of these networks, HP is launching two new networking services. HP Virtual Network Protection Service leverages best practices to set the baseline for security at the network virtualization management layer, which helps to mitigate common threats. HP Network Cloud Optimization Service helps clients enhance their network to improve cloud-based service delivery by up to 93 percent compared to traditional download techniques.

For clients who do not wish to manage their own clouds, HP announced new HP Enterprise Cloud Services that provide offerings for private clouds, continuity services and unified communications. By outsourcing cloud management to a trusted IT provider, clients can leverage on-demand usage and pricing models to redirect cost savings to other strategic projects.

In addition to its leadership portfolio, HP has extensive experience in cloud computing. Autonomy, an HP company, announced that its private cloud has passed a new data-processing milestone, extending its lead as the world’s largest private cloud. The Autonomy private cloud, powered by the Autonomy Intelligent Data Operating Layer (IDOL), now manages more than 50 petabytes of web content, video, email and multimedia data on 6,500 servers in 14 data centers around the world.

To further extend the portfolio, HP also announced new HP Engineering Cloud Transformation Services that help product development and engineering design teams confidently embrace the cloud to improve productivity and rapidly bring new products to market.

Click here for more information about HP’s new cloud solutions and 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 ...