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Ixia Delivers Network Performance Monitoring and Visibility at Remote Sites

Keysight Technologies announced that Ixia released the Vision Edge 1S (E1S) visibility solution. This new, cost-effective solution combines network packet broker functionality with application and synthetic monitoring in a single appliance, delivering network visibility at remote sites.

“The growth of edge computing places a new burden on enterprises to understand what is happening at remote sites,” said Recep Ozdag, VP, Product Management in Keysight’s Ixia Solutions Group. “While edge computing puts resources where they are needed, gaps can emerge in a company’s monitoring and security infrastructure. Vision Edge 1S fills those gaps with an impressively cost-effective, yet powerful combination of a network packet broker and application performance monitoring solution.”

The Ixia Vision Edge 1S offers:

- Advanced packet broker features that filter and distribute traffic from the edge (up to 10G line rate) enabling centralized security and monitoring tools to receive relevant data for monitoring

- Application monitoring with remote packet capture and enriched flow monitoring (Netflow/IxFlow) to monitor application performance at the edge

- Performance monitoring through synthetic traffic generation (up to 10G line rate) to predict the performance of applications and verify network capacity and performance at the edge

- Remote and real-time control through the easy-to-use Hawkeye web-interface for efficient provisioning and remote management of network and application performance with a simple click

- Integration with other Vision packet brokers for comprehensive visibility into the enterprise performance and security monitoring infrastructure

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Ixia Delivers Network Performance Monitoring and Visibility at Remote Sites

Keysight Technologies announced that Ixia released the Vision Edge 1S (E1S) visibility solution. This new, cost-effective solution combines network packet broker functionality with application and synthetic monitoring in a single appliance, delivering network visibility at remote sites.

“The growth of edge computing places a new burden on enterprises to understand what is happening at remote sites,” said Recep Ozdag, VP, Product Management in Keysight’s Ixia Solutions Group. “While edge computing puts resources where they are needed, gaps can emerge in a company’s monitoring and security infrastructure. Vision Edge 1S fills those gaps with an impressively cost-effective, yet powerful combination of a network packet broker and application performance monitoring solution.”

The Ixia Vision Edge 1S offers:

- Advanced packet broker features that filter and distribute traffic from the edge (up to 10G line rate) enabling centralized security and monitoring tools to receive relevant data for monitoring

- Application monitoring with remote packet capture and enriched flow monitoring (Netflow/IxFlow) to monitor application performance at the edge

- Performance monitoring through synthetic traffic generation (up to 10G line rate) to predict the performance of applications and verify network capacity and performance at the edge

- Remote and real-time control through the easy-to-use Hawkeye web-interface for efficient provisioning and remote management of network and application performance with a simple click

- Integration with other Vision packet brokers for comprehensive visibility into the enterprise performance and security monitoring infrastructure

The Latest

While IT leaders are becoming more comfortable and adept at balancing workloads across on-premises, colocation data centers and the public cloud, there's a key component missing: connectivity, according to the 2025 State of the Data Center Report from CoreSite ...

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 ...