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Dell Software Previews Foglight for Virtualization Enterprise Edition 8.0

Dell Software announced a preview of the newest edition to its virtualization management product offering, Foglight for Virtualization, Enterprise Edition 8.0 – to be showcased this month at VMworld 2014.

With a single-pane-of-glass view, Dell Foglight for Virtualization enables IT to control change, visualize end-to-end infrastructure, as well as analyze and optimize the performance and capacity of the heterogeneous virtual environments – from the virtual machine (VM), through the virtual Ethernet network (including packet level analysis), to the physical disk extent in the storage array.

The solution addresses the operational challenges of IT teams, who need deep visibility across virtual and physical resources to identify and fix performance problems in virtual environments across all hypervisors, and plan for rapidly growing organizational needs.

Virtualization is now a ubiquitous technology and has been adopted by mainstream organizations, and this high adoption rate has increasingly diverse infrastructure deployments. The average number of VMs per virtualized server continues to rise, while the emergence of virtual storage, network technologies and cloud deployments are creating more complex data center environments. Until now, IT leadership and virtual administrators have lacked a unified solution that delivers an accurate, single-pane-of-glass view across the entire virtual infrastructure. Foglight for Virtualization is designed for today’s modern data center and with the release of 8.0, CIOs, IT managers, directors, and virtual administrators can better control change, logically prepare for growth and optimize the placement of future workloads.

Dell Foglight for Virtualization, Enterprise Edition 8.0 supports best-of-breed industry solutions, including any leading hypervisors, a wide range of storage arrays, virtual network technologies, VDI, and cloud platforms. It provides the advan ced optimization and capacity management tools that are key to meeting performance SLAs, and sets the required foundation for leveraging the capital and operational cost efficiency.

Hot on the heels of the new vSwitch support delivered in v7.2, Foglight for Virtualization 8.0 will deliver deeper analytics and feature the following:

- Analyze system variations with Change Analyzer feature that provides cross-hypervisor change tracking capabilities that allow organizations to track, report and alert on any event that can impact overall virtual infrastructure performance. Businesses can perform ‘impact analysis’ reports to see the impact of a change before it is made, as well as see the impact changes could have on performance with the ability to map changes in CPU, Memory, Disk and Network performance.

- Retain information about each historical changed event to see the impact of a change before implemented as well as the ability to view the source of change event and the impact on the environment, and even rollback the change if needed.

- Server and infrastructure migration planning made easy with new Capacity Director feature that spans modeling and forecasting of physical to virtual (P2V), virtual to virtual (V2), and even physical to physical server resource migrations, allowing administrators to seamlessly plan for infrastructure upgrades, with the flexibility to model the migration from one hypervisor vendor or private cloud infrastructure with little to no downtime

- New dashboard single-pane-of-glass view that allows IT admins the ability to view the important information about the entire virtual infrastructure, address the most important performance and resource issues, and ability to see virtual objects with problems up-front.

- Enhanced end-to-end visualization, intelligent profile engines, and comprehensive optimization functionality to reduce the blind spots and enable IT to create advanced models of future workloads and hardware requirements, as well as see movement between virtual clusters, physical servers and hypervisor platforms. This functionality reduces OPEX and CAPEX waste created by VM sprawl, inefficient VM deployment practices, and an inability to forecast the growth of application workloads.

Foglight for Virtualization, Enterprise Edition 8.0 preview follows just released version 7.2. Released this month, Foglight for Virtualization, Enterprise Edition 7.2 includes vSwitch support for virtual Ethernet network management, including deep analytics of virtual network traffic leveraging industry standard netflow technology. Foglight v7.2 delivers application-to-virtual infrastructure monitoring, management, and packet analysis, eliminating the “missing link” of Ethernet networking abstracted from the physical hardware. Version 7.2 also provides:

- Virtual Appliance and vApp, which will radically streamline and simplify installation and deployment of virtual infrastructure management technology. Foglight for Virtualization, Enterprise Edition can now be deployed in minutes, rather than hours, achieving rapid ROI

- Enhanced Performance and Scalability, which allows for greater data analytics, improved administrator efficiency, and the ability to visualize the entire virtual infrastructure on one platform

The Foglight for Virtualization, Enterprise Edition 8.0 will be demonstrated in booth number #1417 at VMworld 2014, Aug. 25-28, at the Moscone Center in San Francisco. Additionally, John Maxwell, vice president of product management, Dell Software, will discuss important industry trends, share highlights of the upcoming Foglight for Virtualization 8.0 release and discuss Dell Software’s customer centric approach to product design. The breakout session #3022 will take place at 3:30 pm on Monday, August 25.

Foglight for Virtualization 8.0 will be available in Q3 2014.

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Two years ago, almost every customer conversation about AI started with the same questions: Which model should we use? What can it do? Is it ready for the enterprise? Today, those discussions have moved on. CIOs are far more interested in how to govern AI, integrate it with existing systems, prepare their workforce and make it part of everyday operations. The challenge is no longer to prove that AI can deliver value. It's instead about how to embed AI into the business in a way that's secure, scalable and delivers measurable outcomes ...

 

Two things happened to production incidents between 2023 and now, and they did not happen at the same speed. The first is that a class of dependency that barely existed three years ago now accounts for one incident in ten. Incidents disclosed by AI model and AI application providers rose from 1.7% of all disclosed unplanned incidents in 2023 to 10.7% in 2026 year to date, roughly a sixfold rise; that counts only incidents at AI companies themselves, so the true share is higher. The second is that the time to close an incident has not come down ...

When an AI assistant gives an incomplete or incorrect answer, teams often blame the model. They adjust prompts, switch models, increase context windows or test a new retrieval strategy. However the model may not be a problem. In many enterprise AI workflows, the problem begins inside the document-ingestion pipeline ...

If you talk to any security or observability teams right now, they're all fighting the same fire: their tooling was built to ingest X, but their sources are pumping Y and soon to be doing Z. The knee-jerk reaction is always the same: we need more platform. However, this reaction is wrong. Let me explain why, because the solution to this problem is foundational, not financial. Instead of hurling yet more money at the problem, make sure you've done what's needed upstream ...

Rapid AI adoption and the unique ways AI workloads operate is redefining the scope and structure of what these teams must deliver. This shift is forcing organizations to rethink how they manage scale, automation, and control, according to The State of SRE and Platform Engineering 2026, a new report from Dynatrace ...

AI is usually talked about as a software tool, but it also depends heavily on the network behind it. Whether a company is using AI for chatbots, automation, monitoring, analytics, or employee support, all of that information has to move across the network in a reliable and secure way. That means AI is not just an application decision. It is also an infrastructure decision. Before organizations rush into AI, they should ask a simple question: Is our network ready to support it? ...

Enterprise AI often lacks governed access to where business processes actually execute. Without that access, AI agents may be able to reason, but they cannot operate reliably across enterprise workflows. For AI agents to effectively carry out workflows, they will require integration-layer context and controls. Organizations can implement these prerequisites by providing AI with managed access to the middleware layer ...

Enterprise networks rarely behave the same way for very long. A routing adjustment in one region may unexpectedly alter application performance in another. A cloud migration may introduce hidden dependencies that go unnoticed until an outage occurs. All the while, the network is managed by several different teams, each of whom use different tool sets — and as a result, have different views of the network ... There’s usually an engineer who remembers why traffic fails over a certain way between sites, or which transparent firewall was added where. The problem is that human memory cannot scale alongside enterprise-scale networks ...

Ask an infrastructure team how confident they are in their ability to govern AI, and most will tell you they've got it handled. A recent survey of 406 IT decision-makers and platform engineering leaders found 86% expressing exactly that confidence. Ask the same group whether they have a formal written AI governance policy, and the number drops to 30%, according to Spacelift's Infrastructure Automation Report ...

In MEAN TIME TO INSIGHT Episode 27, Shamus McGillicuddy, EMA VP of Research, Network Infrastructure and Operations, and Parker Hathcock, EMA Research Director covering IT Service/Operations (ServiceOps), discuss observability unification in modern IT operations ... 

Dell Software Previews Foglight for Virtualization Enterprise Edition 8.0

Dell Software announced a preview of the newest edition to its virtualization management product offering, Foglight for Virtualization, Enterprise Edition 8.0 – to be showcased this month at VMworld 2014.

With a single-pane-of-glass view, Dell Foglight for Virtualization enables IT to control change, visualize end-to-end infrastructure, as well as analyze and optimize the performance and capacity of the heterogeneous virtual environments – from the virtual machine (VM), through the virtual Ethernet network (including packet level analysis), to the physical disk extent in the storage array.

The solution addresses the operational challenges of IT teams, who need deep visibility across virtual and physical resources to identify and fix performance problems in virtual environments across all hypervisors, and plan for rapidly growing organizational needs.

Virtualization is now a ubiquitous technology and has been adopted by mainstream organizations, and this high adoption rate has increasingly diverse infrastructure deployments. The average number of VMs per virtualized server continues to rise, while the emergence of virtual storage, network technologies and cloud deployments are creating more complex data center environments. Until now, IT leadership and virtual administrators have lacked a unified solution that delivers an accurate, single-pane-of-glass view across the entire virtual infrastructure. Foglight for Virtualization is designed for today’s modern data center and with the release of 8.0, CIOs, IT managers, directors, and virtual administrators can better control change, logically prepare for growth and optimize the placement of future workloads.

Dell Foglight for Virtualization, Enterprise Edition 8.0 supports best-of-breed industry solutions, including any leading hypervisors, a wide range of storage arrays, virtual network technologies, VDI, and cloud platforms. It provides the advan ced optimization and capacity management tools that are key to meeting performance SLAs, and sets the required foundation for leveraging the capital and operational cost efficiency.

Hot on the heels of the new vSwitch support delivered in v7.2, Foglight for Virtualization 8.0 will deliver deeper analytics and feature the following:

- Analyze system variations with Change Analyzer feature that provides cross-hypervisor change tracking capabilities that allow organizations to track, report and alert on any event that can impact overall virtual infrastructure performance. Businesses can perform ‘impact analysis’ reports to see the impact of a change before it is made, as well as see the impact changes could have on performance with the ability to map changes in CPU, Memory, Disk and Network performance.

- Retain information about each historical changed event to see the impact of a change before implemented as well as the ability to view the source of change event and the impact on the environment, and even rollback the change if needed.

- Server and infrastructure migration planning made easy with new Capacity Director feature that spans modeling and forecasting of physical to virtual (P2V), virtual to virtual (V2), and even physical to physical server resource migrations, allowing administrators to seamlessly plan for infrastructure upgrades, with the flexibility to model the migration from one hypervisor vendor or private cloud infrastructure with little to no downtime

- New dashboard single-pane-of-glass view that allows IT admins the ability to view the important information about the entire virtual infrastructure, address the most important performance and resource issues, and ability to see virtual objects with problems up-front.

- Enhanced end-to-end visualization, intelligent profile engines, and comprehensive optimization functionality to reduce the blind spots and enable IT to create advanced models of future workloads and hardware requirements, as well as see movement between virtual clusters, physical servers and hypervisor platforms. This functionality reduces OPEX and CAPEX waste created by VM sprawl, inefficient VM deployment practices, and an inability to forecast the growth of application workloads.

Foglight for Virtualization, Enterprise Edition 8.0 preview follows just released version 7.2. Released this month, Foglight for Virtualization, Enterprise Edition 7.2 includes vSwitch support for virtual Ethernet network management, including deep analytics of virtual network traffic leveraging industry standard netflow technology. Foglight v7.2 delivers application-to-virtual infrastructure monitoring, management, and packet analysis, eliminating the “missing link” of Ethernet networking abstracted from the physical hardware. Version 7.2 also provides:

- Virtual Appliance and vApp, which will radically streamline and simplify installation and deployment of virtual infrastructure management technology. Foglight for Virtualization, Enterprise Edition can now be deployed in minutes, rather than hours, achieving rapid ROI

- Enhanced Performance and Scalability, which allows for greater data analytics, improved administrator efficiency, and the ability to visualize the entire virtual infrastructure on one platform

The Foglight for Virtualization, Enterprise Edition 8.0 will be demonstrated in booth number #1417 at VMworld 2014, Aug. 25-28, at the Moscone Center in San Francisco. Additionally, John Maxwell, vice president of product management, Dell Software, will discuss important industry trends, share highlights of the upcoming Foglight for Virtualization 8.0 release and discuss Dell Software’s customer centric approach to product design. The breakout session #3022 will take place at 3:30 pm on Monday, August 25.

Foglight for Virtualization 8.0 will be available in Q3 2014.

The Latest

Two years ago, almost every customer conversation about AI started with the same questions: Which model should we use? What can it do? Is it ready for the enterprise? Today, those discussions have moved on. CIOs are far more interested in how to govern AI, integrate it with existing systems, prepare their workforce and make it part of everyday operations. The challenge is no longer to prove that AI can deliver value. It's instead about how to embed AI into the business in a way that's secure, scalable and delivers measurable outcomes ...

 

Two things happened to production incidents between 2023 and now, and they did not happen at the same speed. The first is that a class of dependency that barely existed three years ago now accounts for one incident in ten. Incidents disclosed by AI model and AI application providers rose from 1.7% of all disclosed unplanned incidents in 2023 to 10.7% in 2026 year to date, roughly a sixfold rise; that counts only incidents at AI companies themselves, so the true share is higher. The second is that the time to close an incident has not come down ...

When an AI assistant gives an incomplete or incorrect answer, teams often blame the model. They adjust prompts, switch models, increase context windows or test a new retrieval strategy. However the model may not be a problem. In many enterprise AI workflows, the problem begins inside the document-ingestion pipeline ...

If you talk to any security or observability teams right now, they're all fighting the same fire: their tooling was built to ingest X, but their sources are pumping Y and soon to be doing Z. The knee-jerk reaction is always the same: we need more platform. However, this reaction is wrong. Let me explain why, because the solution to this problem is foundational, not financial. Instead of hurling yet more money at the problem, make sure you've done what's needed upstream ...

Rapid AI adoption and the unique ways AI workloads operate is redefining the scope and structure of what these teams must deliver. This shift is forcing organizations to rethink how they manage scale, automation, and control, according to The State of SRE and Platform Engineering 2026, a new report from Dynatrace ...

AI is usually talked about as a software tool, but it also depends heavily on the network behind it. Whether a company is using AI for chatbots, automation, monitoring, analytics, or employee support, all of that information has to move across the network in a reliable and secure way. That means AI is not just an application decision. It is also an infrastructure decision. Before organizations rush into AI, they should ask a simple question: Is our network ready to support it? ...

Enterprise AI often lacks governed access to where business processes actually execute. Without that access, AI agents may be able to reason, but they cannot operate reliably across enterprise workflows. For AI agents to effectively carry out workflows, they will require integration-layer context and controls. Organizations can implement these prerequisites by providing AI with managed access to the middleware layer ...

Enterprise networks rarely behave the same way for very long. A routing adjustment in one region may unexpectedly alter application performance in another. A cloud migration may introduce hidden dependencies that go unnoticed until an outage occurs. All the while, the network is managed by several different teams, each of whom use different tool sets — and as a result, have different views of the network ... There’s usually an engineer who remembers why traffic fails over a certain way between sites, or which transparent firewall was added where. The problem is that human memory cannot scale alongside enterprise-scale networks ...

Ask an infrastructure team how confident they are in their ability to govern AI, and most will tell you they've got it handled. A recent survey of 406 IT decision-makers and platform engineering leaders found 86% expressing exactly that confidence. Ask the same group whether they have a formal written AI governance policy, and the number drops to 30%, according to Spacelift's Infrastructure Automation Report ...

In MEAN TIME TO INSIGHT Episode 27, Shamus McGillicuddy, EMA VP of Research, Network Infrastructure and Operations, and Parker Hathcock, EMA Research Director covering IT Service/Operations (ServiceOps), discuss observability unification in modern IT operations ...