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Auvik Introduces Smart Alert Suppression and New SaaS Management Client Dashboard

Auvik unveiled new innovations designed to bring greater clarity, efficiency and simplicity to overwhelmed IT pros.

New capabilities include Smart Alert Suppression for Auvik Network Management (ANM), designed to surface intelligent and relevant insights to IT professionals with more precision and reduce alert noise. 

The company also introduced a streamlined client dashboard for Auvik SaaS Management (ASM) that efficiently maps out relevant information into a single, unified view for enhanced workflows. These new developments build upon recent platform enhancements to its SaaS automation, endpoint network visibility, and server monitoring solutions announced earlier in 2025. 

As IT environments become increasingly complex with hybrid work models and expanding SaaS portfolios, IT teams face mounting pressure to manage more devices and applications with fewer resources. Auvik’s latest enhancements directly address these challenges by providing more intelligent automation and streamlined visibility.

“Auvik is delivering a brisk pace of innovation across our ANM and ASM platforms,” said John Astorino, Chief Operating Officer, Auvik. “Smart Alert Suppression and a centralized client dashboard for SaaS management equip today’s thinly-stretched IT teams with more actionable insights and a comprehensive view of network alerts to help teams more efficiently address pain points and alerts that are time-sensitive.”

Auvik’s Smart Alert Suppression solution will provide today’s overburdened IT teams with more intuitive alerting, greatly reducing alert noise and only surfacing mission critical insights. Paired with Auvik’s leading network mapping capabilities, this automated alerting functionality brings added clarity to network outages, eliminating redundant alerts related to downstream devices and giving technicians more relevant topology insights than ever before.  
Unified SaaS Management Dashboard Streamlines Operations

The streamlined SaaS Management client dashboard uncovers potential areas of shadow IT and cost savings by displaying activities across applications in one unified control center, including security, expenditure, provisioning, and usage insights. ASM’s client dashboard provides direct links to these areas of focus. These critical workflow enhancements provide seamless navigation and oversight, as IT teams continue to juggle an increasing number of SaaS applications. 

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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 ...

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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 ...

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Auvik Introduces Smart Alert Suppression and New SaaS Management Client Dashboard

Auvik unveiled new innovations designed to bring greater clarity, efficiency and simplicity to overwhelmed IT pros.

New capabilities include Smart Alert Suppression for Auvik Network Management (ANM), designed to surface intelligent and relevant insights to IT professionals with more precision and reduce alert noise. 

The company also introduced a streamlined client dashboard for Auvik SaaS Management (ASM) that efficiently maps out relevant information into a single, unified view for enhanced workflows. These new developments build upon recent platform enhancements to its SaaS automation, endpoint network visibility, and server monitoring solutions announced earlier in 2025. 

As IT environments become increasingly complex with hybrid work models and expanding SaaS portfolios, IT teams face mounting pressure to manage more devices and applications with fewer resources. Auvik’s latest enhancements directly address these challenges by providing more intelligent automation and streamlined visibility.

“Auvik is delivering a brisk pace of innovation across our ANM and ASM platforms,” said John Astorino, Chief Operating Officer, Auvik. “Smart Alert Suppression and a centralized client dashboard for SaaS management equip today’s thinly-stretched IT teams with more actionable insights and a comprehensive view of network alerts to help teams more efficiently address pain points and alerts that are time-sensitive.”

Auvik’s Smart Alert Suppression solution will provide today’s overburdened IT teams with more intuitive alerting, greatly reducing alert noise and only surfacing mission critical insights. Paired with Auvik’s leading network mapping capabilities, this automated alerting functionality brings added clarity to network outages, eliminating redundant alerts related to downstream devices and giving technicians more relevant topology insights than ever before.  
Unified SaaS Management Dashboard Streamlines Operations

The streamlined SaaS Management client dashboard uncovers potential areas of shadow IT and cost savings by displaying activities across applications in one unified control center, including security, expenditure, provisioning, and usage insights. ASM’s client dashboard provides direct links to these areas of focus. These critical workflow enhancements provide seamless navigation and oversight, as IT teams continue to juggle an increasing number of SaaS applications. 

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.