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Savvius Spotlight 2.0 Released

Savvius announced the release of Spotlight 2.0, which gives organizations the unprecedented ability to engage with network traffic generated by key applications.

This includes both popular SaaS applications – such as Office 365, Salesforce, WebEx, and more – and custom applications written by in-house application teams. New user-defined dashboards allow IT professionals to quickly view, in real-time, the network segments or traffic types of greatest interest and then, if desired, drill down to packet-level analytics. In addition, Spotlight 2.0’s performance has been enhanced, achieving over 35 Gbps in a 1U appliance with four 10G interfaces.

“Enterprises today are asking more of their network operations teams than ever before. Our focus on tightly integrating monitoring and troubleshooting means that we can empower network operations teams with solutions that are both simpler and more powerful,” said Jay Botelho, Senior Director of Products, Savvius. “When we launched Spotlight in 2017, our objective was to reimagine what monitoring could achieve in terms of speed and actionable visibility. This latest version of Spotlight takes that vision even further, delivering a level of performance, functionality, and customizability previously unavailable to network teams.”

The changes in Version 2.0 build on Spotlight’s ability to assemble every packet of monitored network traffic into conversations that are analyzed in real time. Spotlight 2.0, with the ability to identify popular SaaS apps, now allows users to define, name, and have a network view of any application, including custom applications, that can be uniquely identified by a combination of server port, protocol, and server IP address. This new application identification can be combined with a more flexible filter capability to create an unlimited variety of simple-to-define dashboards, allowing the user to rapidly alter their view to the location or type of network traffic of interest.

New features include:

- Flexible application analytics for monitoring and troubleshooting of custom and SaaS-based applications;

- Highly configurable, independent dashboard panels that display content by geographic regions, application type, application latency, worst conversation, and more;

- Additional information about worst TCP and VoIP quality, such as connections refused, retransmissions, zero window, worst jitter, and more;

- Added ability to save filters and add “and/or” definitions;

- Heavily updated Status and Preferences sections covering file indexing, packet storage, and more;

- Increased Streaming Analytics from 5 streams to 10 streams, ideal for long-term ELK baselining and trend analysis, etc.

“More and more applications are being deployed by enterprises both on-prem and in the cloud. Using network analysis to monitor the end-user application experience addresses a critical visibility need that can help IT teams proactively manage network performance and fix problems fast,” says analyst Shamus McGillicuddy of Enterprise Management Associates. “Solutions that can analyze the massive amounts of data running across the network and through these applications, and help organizations isolate problems quickly, will increasingly become a vital capability for the network operations team.”

Savvius Spotlight 2.0 will ship worldwide in Q2’18 in new versions of the Savvius Omnipliance Ultra and the dedicated ultra-high-performance standalone 1U Savvius Spotlight Appliance.

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Savvius Spotlight 2.0 Released

Savvius announced the release of Spotlight 2.0, which gives organizations the unprecedented ability to engage with network traffic generated by key applications.

This includes both popular SaaS applications – such as Office 365, Salesforce, WebEx, and more – and custom applications written by in-house application teams. New user-defined dashboards allow IT professionals to quickly view, in real-time, the network segments or traffic types of greatest interest and then, if desired, drill down to packet-level analytics. In addition, Spotlight 2.0’s performance has been enhanced, achieving over 35 Gbps in a 1U appliance with four 10G interfaces.

“Enterprises today are asking more of their network operations teams than ever before. Our focus on tightly integrating monitoring and troubleshooting means that we can empower network operations teams with solutions that are both simpler and more powerful,” said Jay Botelho, Senior Director of Products, Savvius. “When we launched Spotlight in 2017, our objective was to reimagine what monitoring could achieve in terms of speed and actionable visibility. This latest version of Spotlight takes that vision even further, delivering a level of performance, functionality, and customizability previously unavailable to network teams.”

The changes in Version 2.0 build on Spotlight’s ability to assemble every packet of monitored network traffic into conversations that are analyzed in real time. Spotlight 2.0, with the ability to identify popular SaaS apps, now allows users to define, name, and have a network view of any application, including custom applications, that can be uniquely identified by a combination of server port, protocol, and server IP address. This new application identification can be combined with a more flexible filter capability to create an unlimited variety of simple-to-define dashboards, allowing the user to rapidly alter their view to the location or type of network traffic of interest.

New features include:

- Flexible application analytics for monitoring and troubleshooting of custom and SaaS-based applications;

- Highly configurable, independent dashboard panels that display content by geographic regions, application type, application latency, worst conversation, and more;

- Additional information about worst TCP and VoIP quality, such as connections refused, retransmissions, zero window, worst jitter, and more;

- Added ability to save filters and add “and/or” definitions;

- Heavily updated Status and Preferences sections covering file indexing, packet storage, and more;

- Increased Streaming Analytics from 5 streams to 10 streams, ideal for long-term ELK baselining and trend analysis, etc.

“More and more applications are being deployed by enterprises both on-prem and in the cloud. Using network analysis to monitor the end-user application experience addresses a critical visibility need that can help IT teams proactively manage network performance and fix problems fast,” says analyst Shamus McGillicuddy of Enterprise Management Associates. “Solutions that can analyze the massive amounts of data running across the network and through these applications, and help organizations isolate problems quickly, will increasingly become a vital capability for the network operations team.”

Savvius Spotlight 2.0 will ship worldwide in Q2’18 in new versions of the Savvius Omnipliance Ultra and the dedicated ultra-high-performance standalone 1U Savvius Spotlight Appliance.

The Latest

In live financial environments, capital markets software cannot pause for rebuilds. New capabilities are introduced as stacked technology layers to meet evolving demands while systems remain active, data keeps moving, and controls stay intact. AI is no exception, and its opportunities are significant: accelerated decision cycles, compressed manual workflows, and more effective operations across complex environments. The constraint isn't the models themselves, but the architectural environments they enter ...

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.