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Unisys Secure Private Cloud Solution Available on VCE Vblock Systems

Unisys Secure Private Cloud Solution is now certified by VCE as “Vblock Ready” for Vblock Systems and is available to clients.

Vblock Systems integrate leading Cisco networking and server, EMC storage and VMware cloud infrastructure technologies into a single intelligent converged infrastructure system. VCE was formed by Cisco and EMC with investments from VMware and Intel.

The Unisys Secure Private Cloud Solution simplifies the automation, provisioning and management of IT resources in the Vblock System-based cloud environment.

Unisys is a VCE systems integrator and Vblock system reseller.

“This is an exciting expansion of our alliance with VCE,” said Rod Sapp, VP, Data Center Transformation and Outsourcing Products and Technology, Unisys. “Unisys adds innovative cloud capabilities to VCE’s powerful Vblock Systems, helping clients better protect their business data, gain on-demand access to IT services and control costs. We complement these capabilities with services to help VCE clients plan their cloud strategy, implement the integrated Unisys-VCE solution quickly and manage it efficiently.”

Clients can use the Unisys-VCE solution as a special-purpose cloud or integrate it into a hybrid enterprise environment where they benefit from leveraging their long-term investments in mission-critical IT resources.

“Demand for Vblock Systems continues to grow as more IT organizations realize the business agility and cost savings they provide,” said Todd Pavone, EVP, VCE. “Together with Unisys we are targeting market segments – such as financial-services – that can benefit from our expertise and solutions and are offering a value proposition for cloud computing that few in the market can approach.”

Unisys also offers comprehensive advisory, planning and implementation services that can benefit clients seeking a cloud solution based on VCE’s systems. Unisys Advisory Services for Data Center and Cloud Transformation help determine whether cloud computing is right for the client’s organization – and if so, which style is best. Through these services, Unisys helps clients inventory and assess their applications and decide which are best suited to a specific IT delivery model – traditional data center or managed services, or a particular type of cloud.

Unisys CloudBuild Services can help clients who have already decided on a cloud direction to plan, design and implement the right solution cost-efficiently. For cloud operations, organizations can integrate Unisys Enterprise Systems Management services. That way, administrators can monitor and correlate events across all segments of the managed infrastructure, orchestrating pre-emptive and remedial action against potential IT faults.

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 ...

Unisys Secure Private Cloud Solution Available on VCE Vblock Systems

Unisys Secure Private Cloud Solution is now certified by VCE as “Vblock Ready” for Vblock Systems and is available to clients.

Vblock Systems integrate leading Cisco networking and server, EMC storage and VMware cloud infrastructure technologies into a single intelligent converged infrastructure system. VCE was formed by Cisco and EMC with investments from VMware and Intel.

The Unisys Secure Private Cloud Solution simplifies the automation, provisioning and management of IT resources in the Vblock System-based cloud environment.

Unisys is a VCE systems integrator and Vblock system reseller.

“This is an exciting expansion of our alliance with VCE,” said Rod Sapp, VP, Data Center Transformation and Outsourcing Products and Technology, Unisys. “Unisys adds innovative cloud capabilities to VCE’s powerful Vblock Systems, helping clients better protect their business data, gain on-demand access to IT services and control costs. We complement these capabilities with services to help VCE clients plan their cloud strategy, implement the integrated Unisys-VCE solution quickly and manage it efficiently.”

Clients can use the Unisys-VCE solution as a special-purpose cloud or integrate it into a hybrid enterprise environment where they benefit from leveraging their long-term investments in mission-critical IT resources.

“Demand for Vblock Systems continues to grow as more IT organizations realize the business agility and cost savings they provide,” said Todd Pavone, EVP, VCE. “Together with Unisys we are targeting market segments – such as financial-services – that can benefit from our expertise and solutions and are offering a value proposition for cloud computing that few in the market can approach.”

Unisys also offers comprehensive advisory, planning and implementation services that can benefit clients seeking a cloud solution based on VCE’s systems. Unisys Advisory Services for Data Center and Cloud Transformation help determine whether cloud computing is right for the client’s organization – and if so, which style is best. Through these services, Unisys helps clients inventory and assess their applications and decide which are best suited to a specific IT delivery model – traditional data center or managed services, or a particular type of cloud.

Unisys CloudBuild Services can help clients who have already decided on a cloud direction to plan, design and implement the right solution cost-efficiently. For cloud operations, organizations can integrate Unisys Enterprise Systems Management services. That way, administrators can monitor and correlate events across all segments of the managed infrastructure, orchestrating pre-emptive and remedial action against potential IT faults.

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 ...