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SevOne Performance Appliance Solution 5.4 and Dedicated NetFlow Collector 5.4 Released

SevOne extends the SevOne Performance Monitoring Cluster with the release of the 5.4 versions of the SevOne Performance Appliance Solution (PAS) and the SevOne Dedicated NetFlow Collector (DNC).

The PAS 5.4 and DNC 5.4 can integrate with the SevOne Performance Log Appliance 2.0 to automatically correlate real-time network and infrastructure performance metrics, flows and logs at scale. The 5.4 releases also supports the customer journey to software-defined networks (SDN) and data centers (SDDC) with metadata and hierarchical object types; delivers new features that bolster capacity management with automated projections; and supports a fully translated user interface for multiple languages.

“Today’s rapid, on-demand digital infrastructures are creating tidal waves of data, traffic, and fluctuating demand, requiring organizations to derive new and critical insights from performance metrics, flows and logs at scale,” Matthias Machowinski, Research Director, Enterprise Networks and Video at Infonetics Research. “However, these digital infrastructures are stretching legacy monitoring tools to the breaking point. SevOne is answering these challenges by delivering a new approach that’s helping companies monitor their digital infrastructure effectively and ensure consistent delivery of vital applications and services.”

SevOne’s latest release addresses the market’s demand for a digital infrastructure monitoring technology born into the hyperscale economy that can uncover real-time trends and event activity that will help companies reveal hidden issues — leading to improved service delivery with fewer problems and improved availability. This approach ensures as data increases and monitoring domains continue to expand into unchartered territories — blind spots, knowledge gaps, and delays do not become a daily reality.

“As companies embark on the journey to software-defined networks and data centers, the ability to pivot between metric, flow and log data allows users to see what is happening with quick insight into why it is happening,” said Jack Sweeney, CEO at SevOne. “SevOne is delivering this critical capability to enable an on-demand, elastic infrastructure to help companies understand dependencies and constraints in their dynamic, virtualized environments.”

With its 5.4 release, SevOne further differentiates itself from other approaches on the market in monitoring any device in the service delivery path, integrating performance metrics, flows and logs at scale, and providing answers in seconds to prevent performance-impacting outages.

Enhanced capabilities in the product include:

- Single Click Metric-to-Flow and Metric-to-Log – With single-click, integrated drill down from metrics-to-flows and from metrics-to-logs, SevOne can deliver insight into what happened (metrics), why it happened (logs), and who was affected (flows).

- Metadata and Hierarchical Object Types for Context and Grouping – As companies continue their journey to SDN and SDDC, the ability to easily associate different devices and objects and report on them at scale is critical. Users can now store metadata in SevOne and build reports and query across any number of complex objects using a single-naming convention via hierarchical object types.

- Days-to-Threshold Report for Capacity Planners – SevOne has bolstered its capacity planning capabilities with a new report that reveals the number of days until specific resources reach a user-defined threshold. This report can exclude resources that planners have already flagged as upgrade candidates.

- Language Localization – SevOne supports a translated user interface for many languages. Version 5.4 includes full support for French, Japanese, Russian, and Spanish. Companies can run separate language translations from a single PAS, depending on the needs of each user. For companies with multi-continent locations and diverse language requirements, SevOne meets organizational needs.

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SevOne Performance Appliance Solution 5.4 and Dedicated NetFlow Collector 5.4 Released

SevOne extends the SevOne Performance Monitoring Cluster with the release of the 5.4 versions of the SevOne Performance Appliance Solution (PAS) and the SevOne Dedicated NetFlow Collector (DNC).

The PAS 5.4 and DNC 5.4 can integrate with the SevOne Performance Log Appliance 2.0 to automatically correlate real-time network and infrastructure performance metrics, flows and logs at scale. The 5.4 releases also supports the customer journey to software-defined networks (SDN) and data centers (SDDC) with metadata and hierarchical object types; delivers new features that bolster capacity management with automated projections; and supports a fully translated user interface for multiple languages.

“Today’s rapid, on-demand digital infrastructures are creating tidal waves of data, traffic, and fluctuating demand, requiring organizations to derive new and critical insights from performance metrics, flows and logs at scale,” Matthias Machowinski, Research Director, Enterprise Networks and Video at Infonetics Research. “However, these digital infrastructures are stretching legacy monitoring tools to the breaking point. SevOne is answering these challenges by delivering a new approach that’s helping companies monitor their digital infrastructure effectively and ensure consistent delivery of vital applications and services.”

SevOne’s latest release addresses the market’s demand for a digital infrastructure monitoring technology born into the hyperscale economy that can uncover real-time trends and event activity that will help companies reveal hidden issues — leading to improved service delivery with fewer problems and improved availability. This approach ensures as data increases and monitoring domains continue to expand into unchartered territories — blind spots, knowledge gaps, and delays do not become a daily reality.

“As companies embark on the journey to software-defined networks and data centers, the ability to pivot between metric, flow and log data allows users to see what is happening with quick insight into why it is happening,” said Jack Sweeney, CEO at SevOne. “SevOne is delivering this critical capability to enable an on-demand, elastic infrastructure to help companies understand dependencies and constraints in their dynamic, virtualized environments.”

With its 5.4 release, SevOne further differentiates itself from other approaches on the market in monitoring any device in the service delivery path, integrating performance metrics, flows and logs at scale, and providing answers in seconds to prevent performance-impacting outages.

Enhanced capabilities in the product include:

- Single Click Metric-to-Flow and Metric-to-Log – With single-click, integrated drill down from metrics-to-flows and from metrics-to-logs, SevOne can deliver insight into what happened (metrics), why it happened (logs), and who was affected (flows).

- Metadata and Hierarchical Object Types for Context and Grouping – As companies continue their journey to SDN and SDDC, the ability to easily associate different devices and objects and report on them at scale is critical. Users can now store metadata in SevOne and build reports and query across any number of complex objects using a single-naming convention via hierarchical object types.

- Days-to-Threshold Report for Capacity Planners – SevOne has bolstered its capacity planning capabilities with a new report that reveals the number of days until specific resources reach a user-defined threshold. This report can exclude resources that planners have already flagged as upgrade candidates.

- Language Localization – SevOne supports a translated user interface for many languages. Version 5.4 includes full support for French, Japanese, Russian, and Spanish. Companies can run separate language translations from a single PAS, depending on the needs of each user. For companies with multi-continent locations and diverse language requirements, SevOne meets organizational needs.

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A perfect storm is brewing in cybersecurity — certificate lifespans shrinking to just 47 days while quantum computing threatens today's encryption. Organizations must embrace ephemeral trust and crypto-agility to survive this dual challenge ...

In MEAN TIME TO INSIGHT Episode 14, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses hybrid multi-cloud network observability... 

While companies adopt AI at a record pace, they also face the challenge of finding a smart and scalable way to manage its rapidly growing costs. This requires balancing the massive possibilities inherent in AI with the need to control cloud costs, aim for long-term profitability and optimize spending ...

Telecommunications is expanding at an unprecedented pace ... But progress brings complexity. As WanAware's 2025 Telecom Observability Benchmark Report reveals, many operators are discovering that modernization requires more than physical build outs and CapEx — it also demands the tools and insights to manage, secure, and optimize this fast-growing infrastructure in real time ...

As businesses increasingly rely on high-performance applications to deliver seamless user experiences, the demand for fast, reliable, and scalable data storage systems has never been greater. Redis — an open-source, in-memory data structure store — has emerged as a popular choice for use cases ranging from caching to real-time analytics. But with great performance comes the need for vigilant monitoring ...

Kubernetes was not initially designed with AI's vast resource variability in mind, and the rapid rise of AI has exposed Kubernetes limitations, particularly when it comes to cost and resource efficiency. Indeed, AI workloads differ from traditional applications in that they require a staggering amount and variety of compute resources, and their consumption is far less consistent than traditional workloads ... Considering the speed of AI innovation, teams cannot afford to be bogged down by these constant infrastructure concerns. A solution is needed ...

AI is the catalyst for significant investment in data teams as enterprises require higher-quality data to power their AI applications, according to the State of Analytics Engineering Report from dbt Labs ...

Misaligned architecture can lead to business consequences, with 93% of respondents reporting negative outcomes such as service disruptions, high operational costs and security challenges ...

A Gartner analyst recently suggested that GenAI tools could create 25% time savings for network operational teams. Where might these time savings come from? How are GenAI tools helping NetOps teams today, and what other tasks might they take on in the future as models continue improving? In general, these savings come from automating or streamlining manual NetOps tasks ...

IT and line-of-business teams are increasingly aligned in their efforts to close the data gap and drive greater collaboration to alleviate IT bottlenecks and offload growing demands on IT teams, according to The 2025 Automation Benchmark Report: Insights from IT Leaders on Enterprise Automation & the Future of AI-Driven Businesses from Jitterbit ...