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Ziften Partners with LiveAction

Ziften and LiveAction announced a formal partnership to enable joint customers to easily extend visibility into typical network blind spots including local broadcast domains, wireless domains, east-west data center and public cloud traffic.

With the integration of Ziften’s patent pending ZFlow and Live Action’s LiveNX product, joint enterprise customers can speed identification and resolution of user impacting network performance issues, improve end user experience, and reduce the time IT operations and helpdesk personnel spend on firefighting issues.

Many IT organizations have adopted NetFlow telemetry for improved network monitoring and performance management. NetFlow is inexpensive to implement, easy to collect, almost ubiquitously supported by networking equipment, and relatively easy to analyze. However, NetFlow is often generated at key networking choke points which may leave monitoring blind spots. Ziften’s ZFlow generates NetFlow data from the endpoint (user client, data center server, virtual machine, and cloud). Feeding this ZFlow data into LiveNX gives IT teams network performance visibility into these “last mile” blind spots in a single solution for the first time.

“This partnership enables our joint customers to see and manage parts of their networks that were previously out of reach,” said Darren T. Kimura, Executive Chairman, LiveAction. “The data access and additional contextual intelligence that Ziften provides, allows LiveAction users to more easily exceed their service level agreements for their internal and external business partners and users.”

Additionally, ZFlow provides enhanced flow data with valuable Layer 4-7 information connecting all flow details to device, application and user intelligence. Combined with the end-to-end intelligence delivered by LiveAction, IT users can immediately “connect the dots” on any network based alert or issue. This ability to connect network events with individual devices, specific executables, and user details allows customers to speed root cause identification and trouble resolution for performance issues, dramatically improving the overall user experience with critical applications whether hosted in private data centers or public cloud environments.

Simplifying the investigation of application and network performance issues is a major benefit for IT and end users alike. Reduced troubleshooting times gives IT and network operations personnel more time to spend on proactive trouble hunting and other value added projects that benefit business partners. And end users have more of their support issues resolved on the first call than ever before.

“Today’s IT environments are more complex than ever, and customer’s need solutions that solve difficult to address problems instead of more next-generation products,” said David Shefter, CTO, Ziften. “Improving the ability of our customers to eliminate difficult network, data center, and cloud blind spots so they can more readily solve issues for their end users and business owners is exactly the kind of vendor cooperation and problem solving customers demand.”

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Ziften Partners with LiveAction

Ziften and LiveAction announced a formal partnership to enable joint customers to easily extend visibility into typical network blind spots including local broadcast domains, wireless domains, east-west data center and public cloud traffic.

With the integration of Ziften’s patent pending ZFlow and Live Action’s LiveNX product, joint enterprise customers can speed identification and resolution of user impacting network performance issues, improve end user experience, and reduce the time IT operations and helpdesk personnel spend on firefighting issues.

Many IT organizations have adopted NetFlow telemetry for improved network monitoring and performance management. NetFlow is inexpensive to implement, easy to collect, almost ubiquitously supported by networking equipment, and relatively easy to analyze. However, NetFlow is often generated at key networking choke points which may leave monitoring blind spots. Ziften’s ZFlow generates NetFlow data from the endpoint (user client, data center server, virtual machine, and cloud). Feeding this ZFlow data into LiveNX gives IT teams network performance visibility into these “last mile” blind spots in a single solution for the first time.

“This partnership enables our joint customers to see and manage parts of their networks that were previously out of reach,” said Darren T. Kimura, Executive Chairman, LiveAction. “The data access and additional contextual intelligence that Ziften provides, allows LiveAction users to more easily exceed their service level agreements for their internal and external business partners and users.”

Additionally, ZFlow provides enhanced flow data with valuable Layer 4-7 information connecting all flow details to device, application and user intelligence. Combined with the end-to-end intelligence delivered by LiveAction, IT users can immediately “connect the dots” on any network based alert or issue. This ability to connect network events with individual devices, specific executables, and user details allows customers to speed root cause identification and trouble resolution for performance issues, dramatically improving the overall user experience with critical applications whether hosted in private data centers or public cloud environments.

Simplifying the investigation of application and network performance issues is a major benefit for IT and end users alike. Reduced troubleshooting times gives IT and network operations personnel more time to spend on proactive trouble hunting and other value added projects that benefit business partners. And end users have more of their support issues resolved on the first call than ever before.

“Today’s IT environments are more complex than ever, and customer’s need solutions that solve difficult to address problems instead of more next-generation products,” said David Shefter, CTO, Ziften. “Improving the ability of our customers to eliminate difficult network, data center, and cloud blind spots so they can more readily solve issues for their end users and business owners is exactly the kind of vendor cooperation and problem solving customers demand.”

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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.