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Keysight Launches TimeKeeper

Keysight Technologies has partnered with FSMLabs to offer TimeKeeper, an enterprise-class clock synchronization, monitoring and time distribution platform that manages and monitors time-critical applications, devices and infrastructure.

"This partnership with Keysight Technologies further accelerates the rollout of TimeKeeper, FSMLabs' enterprise-class clock synchronization and time distribution platform," said Cort Dougan, CEO of FSMLabs. "Our expertise in time synchronization technologies, coupled with Keysight's superior sales and support worldwide, extends the reach of this unique technology, offering Keysight's customers access to advanced time synchronization capabilities for time-critical applications."

Available as software as a service (SaaS), TimeKeeper extends Keysight's portfolio to include time accuracy testing and latency analytics for the following solutions:

- Network Emulator – enables users to accurately test application performance due to network delays by emulating realistic network conditions in the lab at speeds from 1 Gigabit per second (Gbps) to 100Gbps.

- TradeVision – network and market data analytics solution that allows users to monitor worldwide trading infrastructure latency in real-time and improve performance of trading applications.

- Metronome Timing System – scalable time distribution platform that offers time-synchronized testing of complex, distributed networks and time-sensitive applications.

- IxNetwork – network infrastructure performance test solution that enables users to test the scalability, accuracy, failure recovery and correction algorithms for IEEE 1588v2 PTP transparent and boundary clocks.

"The addition of TimeKeeper strengthens Keysight's market leadership in time synchronization and latency simulation in key markets such as financial services," said Areg Alimian, Senior Director of Product Management at Keysight Technologies. "TimeKeeper enables Keysight to offer customers a single time measurement tool to reduce regulatory risk where reporting, regulatory compliance and management of their timing infrastructure is critical to their success."

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Keysight Launches TimeKeeper

Keysight Technologies has partnered with FSMLabs to offer TimeKeeper, an enterprise-class clock synchronization, monitoring and time distribution platform that manages and monitors time-critical applications, devices and infrastructure.

"This partnership with Keysight Technologies further accelerates the rollout of TimeKeeper, FSMLabs' enterprise-class clock synchronization and time distribution platform," said Cort Dougan, CEO of FSMLabs. "Our expertise in time synchronization technologies, coupled with Keysight's superior sales and support worldwide, extends the reach of this unique technology, offering Keysight's customers access to advanced time synchronization capabilities for time-critical applications."

Available as software as a service (SaaS), TimeKeeper extends Keysight's portfolio to include time accuracy testing and latency analytics for the following solutions:

- Network Emulator – enables users to accurately test application performance due to network delays by emulating realistic network conditions in the lab at speeds from 1 Gigabit per second (Gbps) to 100Gbps.

- TradeVision – network and market data analytics solution that allows users to monitor worldwide trading infrastructure latency in real-time and improve performance of trading applications.

- Metronome Timing System – scalable time distribution platform that offers time-synchronized testing of complex, distributed networks and time-sensitive applications.

- IxNetwork – network infrastructure performance test solution that enables users to test the scalability, accuracy, failure recovery and correction algorithms for IEEE 1588v2 PTP transparent and boundary clocks.

"The addition of TimeKeeper strengthens Keysight's market leadership in time synchronization and latency simulation in key markets such as financial services," said Areg Alimian, Senior Director of Product Management at Keysight Technologies. "TimeKeeper enables Keysight to offer customers a single time measurement tool to reduce regulatory risk where reporting, regulatory compliance and management of their timing infrastructure is critical to their success."

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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.