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Accedian Introduces SkyLIGHT PVX 5.0

SkyLIGHT PVX 5.0 is the newest version of Accedian’s network and application performance management (NPM/APM) solution for enterprise.

It features a major incrementation of the version number, from 4.3 to 5.0 (instead of to 4.4) because Accedian has significantly enhanced—expanded if you will—the architecture of PVX to align it with Accedian’s vision of integrating real-time analytics into its full network and application management portfolio.

This release will enable SkyLIGHT PVX to better address the dynamics of today’s IT infrastructure setups, which have gone from one where there were a known (or predictable) number of users, using a known array of applications from a known number of points of presence, to one where the network and application resources are being provisioned and retired dynamically — across physical and virtualized network and server environments, public/private/hybrid clouds and SaaS instances, and Infrastructure-as-a-Service and Platform-as-a-Service deployments — throughout the day as demand changes, meeting the needs of thousands of internal and external users. This emerging level of complexity makes it very difficult for IT operations to detect and resolve issues without the augmented insight that analytics can provide.

The renewed SkyLIGHT PVX vision relies on 2 major components. The first is a real-time analytics engine and the second is an enhanced, analytics-integrated data store, at a scale that is much higher than what was typically referred to as a data store in the past (i.e., as opposed to a capture appliance or device).

SkyLIGHT PVX’s real-time analytics engine captures end-user experience, network performance, and application performance — up to the individual applications and database transactions — on-the-fly, in real-time from a wide-angle perspective. It reports on everything it sees happening on the network: all devices and all applications, for all users, across all transactions — without any configuration. It’s lightweight enough that it can be distributed across physical networks — from branch offices to data centers — as well as deployed on virtual networks.

The second component, the data store, is able to aggregate data from each of the capture devices deployed across both physical (i.e., WAN, LAN) and virtual networks (i.e., software-defined networks or SDNs). It then provides intuitive reporting, real-time actionable insights, and the ability to navigate from very high-level data to low-level data with a handful of clicks.

Both of these elements support the SkyLIGHT PVX value proposition, which is unified performance monitoring across the whole network and application chain.

SkyLIGHT PVX 5.0 features five key features, along with a myriad of other enhancements to the product. They are as follows:

1) New user interface: SkyLIGHT PVX 5.0 features a responsive new user interface powered by dynamic dashboards, customizable widgets, an enhanced backend, and faster rendering. This new interface provides each user with more flexibility in the types of data that are presented. Whereas version 4.x of PVX featured multiple views into application and network performance, it only offered the dashboards that the PVX team had created. This new version of PVX puts the power of creating dashboards into the hands of users. You can modify existing dashboards (by cloning them) to meet your specific needs or you can create new ones from scratch that reflect the unique mix of applications, devices, and systems in your IT infrastructure. In fact, you can create application-specific dashboards based on the unique mix of applications running on your network. While each SkyLIGHT PVX user can have their own dashboard(s) that are particular to their needs, it’s possible to create dashboards that are common to all users.

Dashboard widgets feature dynamic previews so that you can see what a given widget will display while you are creating it. You can also move dashboard widgets around the window, resizing them to offer some more prominence than others.

You can also modify the source metric for a dashboard widget, changing it to one of the hundreds of performance metrics that are included with SkyLIGHT PVX. You can search from among existing metrics by typing in keywords–for example, “HTTP”, “Errors”, “Throughput”, etc.–and then select from the list that is provided.

You can also combine performance metrics together in SkyLIGHT PVX 5.0 to generate new insight. For example, you can mix Layer 3 (TCP) information with Layer 7 (application) information in a single dashboard. Chart types can also be modified or the data can be presented as tables. You can annotate dashboard widgets with descriptions to provide context for other users; these are visible when hovering the mouse over the information button beside each dashboard widget.

2) Application Programming Interface (API): Accedian has developed a new, more complete and robust version of our API, which will allow you to connect SkyLIGHT PVX programmatically to any other tool of your choosing: a log analysis solution, a business intelligence (BI) solution, a simulation platform, an intrusion detection system (IDS), or another reporting service. This enables SkyLIGHT PVX to become a data source for your other toolsets, leveraging the advanced, real-time analytics that PVX provides. In fact, you can access all of SkyLIGHT PVX’s powerful capabilities via the API. The RESTful API is based on JSON over an HTTP connection, which provides maximum interoperability. The PVX API is fully documented, providing access to a variety of filters and operators.

3) Performance Vision Query Language (PVQL): The Performance Vision Query Language (PVQL) provides an intuitive, natural language-based approach, similar to SQL, for querying SkyLIGHT PVX 5.0 to access any performance data captured by PVX or any performance metric calculated by PVX that you want. You enter queries in a shell provided within the SkyLIGHT PVX environment and receive responses near instantaneously. With PVQL, you can query PVX and see what kinds of results are returned before coding using the integrated shell. Every one of the 300-400 metrics computed by SkyLIGHT PVX is accessible via PVQL. Once you have defined a PVQL query, you can use it to access data via the API or to create dashboard widgets.

4) Real-time data processing and alerting: Support for real-time data processing and alerting is built into the engine underlying SkyLIGHT PVX 5.0. However, the capabilities are not being exposed at this moment; that will happen over the next 6 months.

5) Remote capture: With this release of SkyLIGHT PVX, Accedian is expanding the options for remote capture. SkyLIGHT PVX 5.0 now includes support for Accedian’s FlowBroker FBX virtualized packet broker. This lightweight appliance is ideal for deployment to remote sites (e.g., a small branch office) where it might not be feasible to position a physical or virtual PVX capture appliance. With FlowBroker FBX installed, you have complete visibility from the edge of the network to the heart of IT operations, the data center. With no end-user configuration required, deploying FBX can be as simple as mailing the device to a remote site where even non-technical personnel can install the module, which then automatically configures itself. FBX captures 100% of TCP flows, timestamps packets, and forwards the metadata on for processing by SkyLIGHT PVX.

SkyLIGHT PVX 5.0 will be generally available by the end of May 2018. This release is included with your SkyLIGHT PVX maintenance license. Delivered as a simple download, SkyLIGHT PVX 5.0 will replace existing application instances. There are no changes to the underlying data structures or data stores as a result of this release.

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 ...

Accedian Introduces SkyLIGHT PVX 5.0

SkyLIGHT PVX 5.0 is the newest version of Accedian’s network and application performance management (NPM/APM) solution for enterprise.

It features a major incrementation of the version number, from 4.3 to 5.0 (instead of to 4.4) because Accedian has significantly enhanced—expanded if you will—the architecture of PVX to align it with Accedian’s vision of integrating real-time analytics into its full network and application management portfolio.

This release will enable SkyLIGHT PVX to better address the dynamics of today’s IT infrastructure setups, which have gone from one where there were a known (or predictable) number of users, using a known array of applications from a known number of points of presence, to one where the network and application resources are being provisioned and retired dynamically — across physical and virtualized network and server environments, public/private/hybrid clouds and SaaS instances, and Infrastructure-as-a-Service and Platform-as-a-Service deployments — throughout the day as demand changes, meeting the needs of thousands of internal and external users. This emerging level of complexity makes it very difficult for IT operations to detect and resolve issues without the augmented insight that analytics can provide.

The renewed SkyLIGHT PVX vision relies on 2 major components. The first is a real-time analytics engine and the second is an enhanced, analytics-integrated data store, at a scale that is much higher than what was typically referred to as a data store in the past (i.e., as opposed to a capture appliance or device).

SkyLIGHT PVX’s real-time analytics engine captures end-user experience, network performance, and application performance — up to the individual applications and database transactions — on-the-fly, in real-time from a wide-angle perspective. It reports on everything it sees happening on the network: all devices and all applications, for all users, across all transactions — without any configuration. It’s lightweight enough that it can be distributed across physical networks — from branch offices to data centers — as well as deployed on virtual networks.

The second component, the data store, is able to aggregate data from each of the capture devices deployed across both physical (i.e., WAN, LAN) and virtual networks (i.e., software-defined networks or SDNs). It then provides intuitive reporting, real-time actionable insights, and the ability to navigate from very high-level data to low-level data with a handful of clicks.

Both of these elements support the SkyLIGHT PVX value proposition, which is unified performance monitoring across the whole network and application chain.

SkyLIGHT PVX 5.0 features five key features, along with a myriad of other enhancements to the product. They are as follows:

1) New user interface: SkyLIGHT PVX 5.0 features a responsive new user interface powered by dynamic dashboards, customizable widgets, an enhanced backend, and faster rendering. This new interface provides each user with more flexibility in the types of data that are presented. Whereas version 4.x of PVX featured multiple views into application and network performance, it only offered the dashboards that the PVX team had created. This new version of PVX puts the power of creating dashboards into the hands of users. You can modify existing dashboards (by cloning them) to meet your specific needs or you can create new ones from scratch that reflect the unique mix of applications, devices, and systems in your IT infrastructure. In fact, you can create application-specific dashboards based on the unique mix of applications running on your network. While each SkyLIGHT PVX user can have their own dashboard(s) that are particular to their needs, it’s possible to create dashboards that are common to all users.

Dashboard widgets feature dynamic previews so that you can see what a given widget will display while you are creating it. You can also move dashboard widgets around the window, resizing them to offer some more prominence than others.

You can also modify the source metric for a dashboard widget, changing it to one of the hundreds of performance metrics that are included with SkyLIGHT PVX. You can search from among existing metrics by typing in keywords–for example, “HTTP”, “Errors”, “Throughput”, etc.–and then select from the list that is provided.

You can also combine performance metrics together in SkyLIGHT PVX 5.0 to generate new insight. For example, you can mix Layer 3 (TCP) information with Layer 7 (application) information in a single dashboard. Chart types can also be modified or the data can be presented as tables. You can annotate dashboard widgets with descriptions to provide context for other users; these are visible when hovering the mouse over the information button beside each dashboard widget.

2) Application Programming Interface (API): Accedian has developed a new, more complete and robust version of our API, which will allow you to connect SkyLIGHT PVX programmatically to any other tool of your choosing: a log analysis solution, a business intelligence (BI) solution, a simulation platform, an intrusion detection system (IDS), or another reporting service. This enables SkyLIGHT PVX to become a data source for your other toolsets, leveraging the advanced, real-time analytics that PVX provides. In fact, you can access all of SkyLIGHT PVX’s powerful capabilities via the API. The RESTful API is based on JSON over an HTTP connection, which provides maximum interoperability. The PVX API is fully documented, providing access to a variety of filters and operators.

3) Performance Vision Query Language (PVQL): The Performance Vision Query Language (PVQL) provides an intuitive, natural language-based approach, similar to SQL, for querying SkyLIGHT PVX 5.0 to access any performance data captured by PVX or any performance metric calculated by PVX that you want. You enter queries in a shell provided within the SkyLIGHT PVX environment and receive responses near instantaneously. With PVQL, you can query PVX and see what kinds of results are returned before coding using the integrated shell. Every one of the 300-400 metrics computed by SkyLIGHT PVX is accessible via PVQL. Once you have defined a PVQL query, you can use it to access data via the API or to create dashboard widgets.

4) Real-time data processing and alerting: Support for real-time data processing and alerting is built into the engine underlying SkyLIGHT PVX 5.0. However, the capabilities are not being exposed at this moment; that will happen over the next 6 months.

5) Remote capture: With this release of SkyLIGHT PVX, Accedian is expanding the options for remote capture. SkyLIGHT PVX 5.0 now includes support for Accedian’s FlowBroker FBX virtualized packet broker. This lightweight appliance is ideal for deployment to remote sites (e.g., a small branch office) where it might not be feasible to position a physical or virtual PVX capture appliance. With FlowBroker FBX installed, you have complete visibility from the edge of the network to the heart of IT operations, the data center. With no end-user configuration required, deploying FBX can be as simple as mailing the device to a remote site where even non-technical personnel can install the module, which then automatically configures itself. FBX captures 100% of TCP flows, timestamps packets, and forwards the metadata on for processing by SkyLIGHT PVX.

SkyLIGHT PVX 5.0 will be generally available by the end of May 2018. This release is included with your SkyLIGHT PVX maintenance license. Delivered as a simple download, SkyLIGHT PVX 5.0 will replace existing application instances. There are no changes to the underlying data structures or data stores as a result of this release.

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 ...