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HP and VMware Collaborate to Simplify Software-Defined Data Center and Hybrid Cloud Adoption

At VMworld 2014, HP and VMware announced the expansion of a long-standing relationship to help customers gain competitive advantage by adopting the software-defined data center and hybrid cloud.

This announcement includes the general availability of both the standalone HP-VMware networking solution, as well as the solution delivered as part of HP Converged Systems. The companies also announced HP Helion OpenStack will support enterprise-class VMware virtualization technologies. Together, these collaborative efforts can help simplify the adoption of the software-defined data center and hybrid cloud with less risk, and enable customers to deliver applications faster, with greater operational efficiency, and lower costs.

The software-defined data center, where infrastructure is virtualized, delivered as a service and controlled by software, is an open, agile and cost-effective way to build and operate a private, hybrid or public cloud. A software-defined data center supports open frameworks, as well as choice in the underlying data center infrastructure. This flexibility and choice is a critically important factor for enterprises as they plan and build their next-generation datacenter and cloud environments. With this announcement, HP and VMware intend to deliver compelling, differentiated value in helping customers to build and operate highly-scalable private, hybrid or public clouds, with enterprise-proven infrastructure, designed to meet their dynamic and expanding business requirements.

The HP-VMware networking solution is a federated networking solution, designed to provide customers unified automation of, and visibility into, their physical and virtual data center networks, enabling business agility and improving business continuity. The solution federates the HP Virtual Application Networks SDN Controller with the VMware NSX network virtualization platform to provide customers with an integrated approach to automating their physical and virtual network infrastructure. The networking solution provides a centralized view, unified automation, visibility and control of the complete data center network, improving agility, monitoring and troubleshooting.

In addition, the combination of the HP-VMware networking solution with HP Converged Systems for Virtualization and HP OneView automates the provisioning and management of physical and virtual infrastructure resources for more efficient and agile delivery and operation of IT services. The solutions offer an open, software-defined approach, providing a foundation for the cloud, and enabling IT to become more responsive to the business.

The OpenStack framework provides application development teams with programmatic access to the infrastructure. OpenStack technology allows IT to deliver a public-cloud like API experience to their developers on their private cloud, without necessarily giving up control of their infrastructure to the public could.

HP and VMware are long-standing contributors to the OpenStack community, and both companies are committed to delivering OpenStack solutions. With its soon to be released HP Helion OpenStack commercial distribution, HP will provide an enterprise-grade OpenStack software solution for customers to adopt in private, public and managed cloud environments. In order meet the commitment to offering an OpenStack distribution built to meet enterprise requirements, HP is working with VMware to support key VMware technologies with HP Helion OpenStack.

HP is announcing that the upcoming commercial release of HP Helion OpenStack will support VMware vSphere. In addition, HP is also announcing that HP Helion OpenStack will support VMware NSX network virtualization in a near future release. Together, the combination of HP Helion OpenStack with VMware’s enterprise-proven infrastructure, backed by HP Helion OpenStack Professional Services, will help organizations implement OpenStack technology with greater success and confidence.

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 and VMware Collaborate to Simplify Software-Defined Data Center and Hybrid Cloud Adoption

At VMworld 2014, HP and VMware announced the expansion of a long-standing relationship to help customers gain competitive advantage by adopting the software-defined data center and hybrid cloud.

This announcement includes the general availability of both the standalone HP-VMware networking solution, as well as the solution delivered as part of HP Converged Systems. The companies also announced HP Helion OpenStack will support enterprise-class VMware virtualization technologies. Together, these collaborative efforts can help simplify the adoption of the software-defined data center and hybrid cloud with less risk, and enable customers to deliver applications faster, with greater operational efficiency, and lower costs.

The software-defined data center, where infrastructure is virtualized, delivered as a service and controlled by software, is an open, agile and cost-effective way to build and operate a private, hybrid or public cloud. A software-defined data center supports open frameworks, as well as choice in the underlying data center infrastructure. This flexibility and choice is a critically important factor for enterprises as they plan and build their next-generation datacenter and cloud environments. With this announcement, HP and VMware intend to deliver compelling, differentiated value in helping customers to build and operate highly-scalable private, hybrid or public clouds, with enterprise-proven infrastructure, designed to meet their dynamic and expanding business requirements.

The HP-VMware networking solution is a federated networking solution, designed to provide customers unified automation of, and visibility into, their physical and virtual data center networks, enabling business agility and improving business continuity. The solution federates the HP Virtual Application Networks SDN Controller with the VMware NSX network virtualization platform to provide customers with an integrated approach to automating their physical and virtual network infrastructure. The networking solution provides a centralized view, unified automation, visibility and control of the complete data center network, improving agility, monitoring and troubleshooting.

In addition, the combination of the HP-VMware networking solution with HP Converged Systems for Virtualization and HP OneView automates the provisioning and management of physical and virtual infrastructure resources for more efficient and agile delivery and operation of IT services. The solutions offer an open, software-defined approach, providing a foundation for the cloud, and enabling IT to become more responsive to the business.

The OpenStack framework provides application development teams with programmatic access to the infrastructure. OpenStack technology allows IT to deliver a public-cloud like API experience to their developers on their private cloud, without necessarily giving up control of their infrastructure to the public could.

HP and VMware are long-standing contributors to the OpenStack community, and both companies are committed to delivering OpenStack solutions. With its soon to be released HP Helion OpenStack commercial distribution, HP will provide an enterprise-grade OpenStack software solution for customers to adopt in private, public and managed cloud environments. In order meet the commitment to offering an OpenStack distribution built to meet enterprise requirements, HP is working with VMware to support key VMware technologies with HP Helion OpenStack.

HP is announcing that the upcoming commercial release of HP Helion OpenStack will support VMware vSphere. In addition, HP is also announcing that HP Helion OpenStack will support VMware NSX network virtualization in a near future release. Together, the combination of HP Helion OpenStack with VMware’s enterprise-proven infrastructure, backed by HP Helion OpenStack Professional Services, will help organizations implement OpenStack technology with greater success and confidence.

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 ...