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Auvik Network Management Updated

Auvik announced enhancements to its Auvik Network Management (ANM) solution that allow for a more customized user experience with greater flexibility.

Specifically, Auvik has rolled out three new capabilities: Northstar, a troubleshooting tool based on network path visualization; a new monitoring collection agent that runs natively on ARM64-based hardware; and an updated alerting engine, which allows for additional customized settings for alerts and notifications.

“These product enhancements help our customers – both MSPs and corporate IT departments – optimize Auvik Network Management for their environments,” said John Astorino, Chief Operating Officer, Auvik. “These new features offer more options for deployment and more flexible choices for alerting and troubleshooting, allowing customers to create a tailor-made user experience leading to improved efficiency and overall utility of our network management solution.”

ANM Enhancement Capabilities and Benefits:

- Northstar: A network troubleshooting tool based on path visualization, Northstar enhances visibility and management across networks, allowing users to adapt their monitoring strategies based on specific organizational requirements. By presenting a contextually-relevant subset of network devices and connections from the network map, Northstar enables users to focus on the path from the selected node to the Internet or other nodes on a network to pinpoint issues with greater efficiency.

- ARM64 Collector: The ARM64 collection agent enables deployment on cost-effective ARM64 architected devices such as Raspberry Pi, providing a flexible and affordable option for customers with a wide range of infrastructure needs. ARM64 Collector code automatically detects the underlying architecture and functions accordingly, extending existing deployment options. As many organizations look to optimize costs while maintaining robust network monitoring capabilities, this flexibility is crucial.

- New Alerting Functionality: Auvik’s new alerting engine provides customizable features that allow users to get more clarity from their network alerts by reducing noise, improving relevance, and managing frequency to only receive relevant messages when they are needed by tailoring notifications to their specific operational requirements. By reducing alert noise, this new feature can improve response times. These enhanced customization options are essential for organizations that require precise monitoring to meet unique service level agreements (SLAs) and operational goals.

Northstar, ARM64 Collector and the new alerting features are all available now to Auvik Network Management customers at no additional cost.

“IT pros tasked with network monitoring and management depend on effective troubleshooting, and flexible alerting and deployment options in order to effectively meet network observability requirements for their organizations,” said Shamus McGillicuddy, VP of Research, EMA.

“In addition to continuously taking customer feedback and working to ensure we’re delivering product features that best meet our customers’ needs, here at Auvik we’re always looking at industry trends to anticipate end-user needs as well,” continued Astorino. “In our IT Trends 2024 Report, which surveyed both MSP and internal IT professionals, we learned that monitoring, troubleshooting and reporting were among the top five network management activities taking up time for IT teams. Offering more customized options to make these tasks more efficient and effective has a direct and positive impact on their job performance and satisfaction.”

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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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Auvik Network Management Updated

Auvik announced enhancements to its Auvik Network Management (ANM) solution that allow for a more customized user experience with greater flexibility.

Specifically, Auvik has rolled out three new capabilities: Northstar, a troubleshooting tool based on network path visualization; a new monitoring collection agent that runs natively on ARM64-based hardware; and an updated alerting engine, which allows for additional customized settings for alerts and notifications.

“These product enhancements help our customers – both MSPs and corporate IT departments – optimize Auvik Network Management for their environments,” said John Astorino, Chief Operating Officer, Auvik. “These new features offer more options for deployment and more flexible choices for alerting and troubleshooting, allowing customers to create a tailor-made user experience leading to improved efficiency and overall utility of our network management solution.”

ANM Enhancement Capabilities and Benefits:

- Northstar: A network troubleshooting tool based on path visualization, Northstar enhances visibility and management across networks, allowing users to adapt their monitoring strategies based on specific organizational requirements. By presenting a contextually-relevant subset of network devices and connections from the network map, Northstar enables users to focus on the path from the selected node to the Internet or other nodes on a network to pinpoint issues with greater efficiency.

- ARM64 Collector: The ARM64 collection agent enables deployment on cost-effective ARM64 architected devices such as Raspberry Pi, providing a flexible and affordable option for customers with a wide range of infrastructure needs. ARM64 Collector code automatically detects the underlying architecture and functions accordingly, extending existing deployment options. As many organizations look to optimize costs while maintaining robust network monitoring capabilities, this flexibility is crucial.

- New Alerting Functionality: Auvik’s new alerting engine provides customizable features that allow users to get more clarity from their network alerts by reducing noise, improving relevance, and managing frequency to only receive relevant messages when they are needed by tailoring notifications to their specific operational requirements. By reducing alert noise, this new feature can improve response times. These enhanced customization options are essential for organizations that require precise monitoring to meet unique service level agreements (SLAs) and operational goals.

Northstar, ARM64 Collector and the new alerting features are all available now to Auvik Network Management customers at no additional cost.

“IT pros tasked with network monitoring and management depend on effective troubleshooting, and flexible alerting and deployment options in order to effectively meet network observability requirements for their organizations,” said Shamus McGillicuddy, VP of Research, EMA.

“In addition to continuously taking customer feedback and working to ensure we’re delivering product features that best meet our customers’ needs, here at Auvik we’re always looking at industry trends to anticipate end-user needs as well,” continued Astorino. “In our IT Trends 2024 Report, which surveyed both MSP and internal IT professionals, we learned that monitoring, troubleshooting and reporting were among the top five network management activities taking up time for IT teams. Offering more customized options to make these tasks more efficient and effective has a direct and positive impact on their job performance and satisfaction.”

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.