ExtraHop Networks, a provider of network-based application performance management (APM) solutions, introduced its virtual appliance for APM, the EH1000v.
The new appliance furthers ExtraHop’s commitment to building the fastest APM solutions available by providing real-time transaction analysis at up to 1Gbps speeds for applications running in virtual and cloud environments—more than 10 times faster than competing products. As a virtualized version of the company’s passive, network-based ExtraHop Application Delivery Assurance system, the EH1000v delivers a small-footprint solution for branch-office deployments and offers deep, end-to-end application visibility for virtualized environments.
The EH1000v virtual appliance lowers IT infrastructure requirements for monitoring network and application performance across geographically distributed environments. In line with Gartner’s prediction that 20 percent of companies will own no IT hardware assets by next year, the EH1000v eliminates the need to ship and install hardware for each geographic location. With more companies using virtualized systems in remote-office applications, the new virtual appliance from ExtraHop Networks will help these organizations deploy and remotely administer a powerful monitoring solution for branch-office deployments that also can monitor traffic within virtualized environments.
As they have increasingly virtualized their systems, many organizations have lost visibility into transactions passing between virtual machines on the same physical host, leading to a growing blind spot for heavily virtualized organizations. According to an InformationWeek survey, nearly 50 percent of companies using APM solutions run more than half of their applications in virtualized environments, creating a significant amount of traffic that enterprises cannot see on the network. The EH1000v can monitor traffic that passes only through virtual switches and restore deep visibility into applications running in such environments, even those with large traffic volumes among multiple virtual machines.
“While server virtualization offers many benefits such as flexibility, scalability, and lower cost, it also can limit visibility into virtualized environments,” says Jesse Rothstein, CEO and co-founder, ExtraHop Networks. “In these cases, the physical limitations of many APM solutions present obstacles to monitoring application performance. The EH1000v gives companies a small-footprint solution that helps them to get around these roadblocks and realize the benefits of virtual and cloud technologies without compromising application performance.”
The Latest
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 ...
A large majority (86%) of data management and AI decision makers cite protecting data privacy as a top concern, with 76% of respondents citing ROI on data privacy and AI initiatives across their organization, according to a new Harris Poll from Collibra ...