Skip to main content

HP Launches Network Infrastructure Optimization Services

HP launched its Network Infrastructure Optimization Services portfolio, designed to help customers evaluate and improve their network flow and infrastructure to ensure a quality user experience.

The increasingly mobile workforce requires instant connectivity to applications and data to effectively do their jobs — regardless of their location. As a result, requests are not only coming from greater distances, but are putting higher demands on network connectivity. To meet these challenges, enterprises need to optimize network resources and reduce bottlenecks to improve the end-user experience.

The HP Network Infrastructure Optimization Services portfolio spans network topology —from within the data center and between data centers to wide area networks (WAN) and local area networks (LAN) — to identify and eliminate inefficiencies, while optimizing infrastructure to make applications run faster.

“With a dispersed workforce and growing connectivity demands, enterprises can no longer revert to traditional singular quick fixes, such as adding bandwidth, to address network issues,” said Imran Khan, vice president, Network Consulting, HP. “HP’s new services pinpoint inefficiencies that can be removed for a greater end-user experience.”

The HP Network Infrastructure Optimization Assessment lets companies work with HP consultants who analyze traffic across network topology to identify application delays, jitter and bandwidth issues. This comprehensive assessment pinpoints inefficiencies, enabling clients to proactively address potential performance problems at the source and create a strategy for optimizing resources. In addition, HP works with clients to align business and IT needs and identify the right solution for them.

HP, working with partner F5 Networks, is using F5’s BIG-IP platform to ensure applications run faster, and are secure and available. HP services based on F5’s BIG-IP platform include:

- HP Network Application Delivery Controller Services enable clients to optimize network traffic within the data center. After evaluating the network, HP consultants architect a solution that automatically directs incoming client requests to the most available resources in the data center. Requests are processed efficiently, applications run faster and users experience improved response time. The services also include the HP Network Application Delivery Controller Service for Microsoft to optimize the performance of Microsoft Exchange, Lync or SharePoint 2010 and ensure the deployment adheres to Microsoft reference architecture recommendations. This prevents unnecessary technology investments that may not support future projects.

- HP Data Center to Data Center Network Optimization Service helps improve application delivery in an environment with multiple data centers. HP experts help develop a high-performance global application delivery solution. Clients can efficiently move applications between data centers and automatically direct incoming requests to the closest or most available data center based on computing requirements, location and volume spikes. As a result, application performance scales to service requests and maintains business continuity regardless of where a user or application is located.

The HP Network Infrastructure Optimization Assessment and the HP Network Application Delivery Controller Service for Microsoft are now available globally. All other services will be available globally in July 2012. Pricing varies according to location and implementation.

HP’s premier client event, HP Discover, takes place June 4-7 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 Launches Network Infrastructure Optimization Services

HP launched its Network Infrastructure Optimization Services portfolio, designed to help customers evaluate and improve their network flow and infrastructure to ensure a quality user experience.

The increasingly mobile workforce requires instant connectivity to applications and data to effectively do their jobs — regardless of their location. As a result, requests are not only coming from greater distances, but are putting higher demands on network connectivity. To meet these challenges, enterprises need to optimize network resources and reduce bottlenecks to improve the end-user experience.

The HP Network Infrastructure Optimization Services portfolio spans network topology —from within the data center and between data centers to wide area networks (WAN) and local area networks (LAN) — to identify and eliminate inefficiencies, while optimizing infrastructure to make applications run faster.

“With a dispersed workforce and growing connectivity demands, enterprises can no longer revert to traditional singular quick fixes, such as adding bandwidth, to address network issues,” said Imran Khan, vice president, Network Consulting, HP. “HP’s new services pinpoint inefficiencies that can be removed for a greater end-user experience.”

The HP Network Infrastructure Optimization Assessment lets companies work with HP consultants who analyze traffic across network topology to identify application delays, jitter and bandwidth issues. This comprehensive assessment pinpoints inefficiencies, enabling clients to proactively address potential performance problems at the source and create a strategy for optimizing resources. In addition, HP works with clients to align business and IT needs and identify the right solution for them.

HP, working with partner F5 Networks, is using F5’s BIG-IP platform to ensure applications run faster, and are secure and available. HP services based on F5’s BIG-IP platform include:

- HP Network Application Delivery Controller Services enable clients to optimize network traffic within the data center. After evaluating the network, HP consultants architect a solution that automatically directs incoming client requests to the most available resources in the data center. Requests are processed efficiently, applications run faster and users experience improved response time. The services also include the HP Network Application Delivery Controller Service for Microsoft to optimize the performance of Microsoft Exchange, Lync or SharePoint 2010 and ensure the deployment adheres to Microsoft reference architecture recommendations. This prevents unnecessary technology investments that may not support future projects.

- HP Data Center to Data Center Network Optimization Service helps improve application delivery in an environment with multiple data centers. HP experts help develop a high-performance global application delivery solution. Clients can efficiently move applications between data centers and automatically direct incoming requests to the closest or most available data center based on computing requirements, location and volume spikes. As a result, application performance scales to service requests and maintains business continuity regardless of where a user or application is located.

The HP Network Infrastructure Optimization Assessment and the HP Network Application Delivery Controller Service for Microsoft are now available globally. All other services will be available globally in July 2012. Pricing varies according to location and implementation.

HP’s premier client event, HP Discover, takes place June 4-7 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 ...