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NETSCOUT Introduces nGeniusPULSE 2.0

NETSCOUT SYSTEMS announced the expansion of its nGenius Service Assurance solutions to include infrastructure performance management with the newest release of nGeniusPULSE 2.0.

NETSCOUT’s customers rely on nGeniusONE’s wire data-based approach to manage the services they deliver to their users. NETSCOUT’s nGeniusONE Service Assurance platform, powered by the Company’s patented Adaptive Service Intelligence (ASI), its next-generation traffic analysis technology, identifies the sources of service problems with unprecedented speed, scale and precision across today’s largest, most complex technology infrastructures. With nGeniusPULSE, customers can cost-effectively leverage one platform to quickly and accurately identify the root cause of issues impacting network and application performance.

nGeniusPULSE 2.0 is a significant advancement over its predecessor version, which performed synthetic or “active” testing for the monitoring of SaaS, cloud-hosted, on-premise applications, voice over internet protocol (VoIP) services and network health to identify current and potential connectivity and performance problems. nGeniusPULSE 2.0 combines active tests with monitoring of infrastructure and server health to identify current and potential connectivity and performance problems. This combination provides the ability to ensure that on-premises equipment is functioning properly and that applications are available and meeting expected service levels whether they are in private, public or hybrid clouds.

In addition, nGeniusPULSE collects heath information from network equipment, log files, and servers. This allows users to complete their root-cause analysis more quickly and effectively, within the nGeniusONE environment, dramatically improving the Total Cost of Ownership (TCO) and Mean Time to Repair (MTTR).

“NETSCOUT customers already use nGeniusONE’s service-centric approach to identify and troubleshoot issues affecting users. nGeniusPULSE extends that approach to monitor the availability and health of the infrastructure over which business services are delivered,” said Michael Szabados, COO, NETSCOUT. “Now customers can leverage their investment in our technology through contextual workflows to track issues all the way from the service to a specific infrastructure element directly rather than using disparate tools from multiple vendors. With this new product, we are now complementing our wire data with all other data types available from the infrastructure offering the most complete and in-depth view of the health of the services and the infrastructure delivering them.”

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NETSCOUT Introduces nGeniusPULSE 2.0

NETSCOUT SYSTEMS announced the expansion of its nGenius Service Assurance solutions to include infrastructure performance management with the newest release of nGeniusPULSE 2.0.

NETSCOUT’s customers rely on nGeniusONE’s wire data-based approach to manage the services they deliver to their users. NETSCOUT’s nGeniusONE Service Assurance platform, powered by the Company’s patented Adaptive Service Intelligence (ASI), its next-generation traffic analysis technology, identifies the sources of service problems with unprecedented speed, scale and precision across today’s largest, most complex technology infrastructures. With nGeniusPULSE, customers can cost-effectively leverage one platform to quickly and accurately identify the root cause of issues impacting network and application performance.

nGeniusPULSE 2.0 is a significant advancement over its predecessor version, which performed synthetic or “active” testing for the monitoring of SaaS, cloud-hosted, on-premise applications, voice over internet protocol (VoIP) services and network health to identify current and potential connectivity and performance problems. nGeniusPULSE 2.0 combines active tests with monitoring of infrastructure and server health to identify current and potential connectivity and performance problems. This combination provides the ability to ensure that on-premises equipment is functioning properly and that applications are available and meeting expected service levels whether they are in private, public or hybrid clouds.

In addition, nGeniusPULSE collects heath information from network equipment, log files, and servers. This allows users to complete their root-cause analysis more quickly and effectively, within the nGeniusONE environment, dramatically improving the Total Cost of Ownership (TCO) and Mean Time to Repair (MTTR).

“NETSCOUT customers already use nGeniusONE’s service-centric approach to identify and troubleshoot issues affecting users. nGeniusPULSE extends that approach to monitor the availability and health of the infrastructure over which business services are delivered,” said Michael Szabados, COO, NETSCOUT. “Now customers can leverage their investment in our technology through contextual workflows to track issues all the way from the service to a specific infrastructure element directly rather than using disparate tools from multiple vendors. With this new product, we are now complementing our wire data with all other data types available from the infrastructure offering the most complete and in-depth view of the health of the services and the infrastructure delivering them.”

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In the world of digital-first business, there is no tolerance for service outages. Businesses know that outages are the quickest way to lose money and customers. For smaller organizations, unplanned downtime could even force the business to close ... A new study from PagerDuty, The State of AI-First Operations, reveals that companies actively incorporating AI into operations now view operational resilience as a growth driver rather than a cost center. But how are they achieving it? ...

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 ...