Emulex Corporation announced the new EndaceFlow 3040 NetFlow generator appliance.
The EndaceFlow 3040, which is purpose-built for use with high-density 10Gb Ethernet (10GbE) networks, generates 100 percent accurate NetFlows on up to four Ethernet links at speeds up to 10Gb per second (10Gbps) line rate. This level of performance speeds detection, identification and resolution of critical security and network issues, improving network uptime and reducing operational expenditures (OPEX) in enterprise data centers.
“As enterprises move more deeply into the latest data center technologies, such as 10GbE, server virtualization and software-defined networking, they are finding that visualizing what is happening in their networks has become more challenging,” said Lee Doyle, principal analyst, Doyle Research. “This is compounded by the fact that many tools that worked well at 1Gbps speeds simply have not scaled up to 10Gbps. This has critical implications for the ways that enterprises approach security monitoring, forensics and network performance management, which can only be addressed by tools that are designed to enable network visualization at 10Gbps speeds and above.”
By providing 100 percent NetFlow generation, new threats to network security and performance can more easily be detected, identified and resolved - resulting in the detection of a wider range of network anomalies and intrusions in the security operations space and the identification of network choke points that impact application performance - and can be further treated with packet-based network recording and analysis tools.
“Traditionally, end users have used routers and switches to generate sampled NetFlows, which severely limits behavioral analysis and can impact switch and router performance,” said Mike Riley, SVP and GM, Endace portfolio, Emulex. “The Emulex EndaceFlow 3040 addresses these issues by offloading NetFlow generation onto a purpose-built appliance that can generate unsampled NetFlow across multiple 10GbE links. This gives our customers all of the data they need to diagnose and resolve complex security and network performance issues on 10GbE networks in a fraction of the time previously required.”
The Emulex EndaceFlow 3040 delivers complete network visibility through the unique combination of the following features and capabilities:
- Extreme Performance: The EndaceFlow 3040 provides complete full-stream flow visibility at 10Gbps over any combination of IPv4 and IPv6-based networks with up to 30Gbps of flow generation and a total active flow cache size of 64 million.
- Custom Filtering: The EndaceFlow 3040 supports up to 120 filters across four collectors for load balancing flow records across multiple collectors, enabling users to customize exports to gain visibility of specific networks within the data center.
- Advanced Hash Load Balancing (HLB): The advanced HLB feature of the EndaceFlow 3040 minimizes manual configuration with flow safe load balancing, reducing OPEX.
- Ease of Integration: The EndaceFlow 3040 supports V5 (IPv4), V9 (IPv6) and Internet Protocol Flow Information Export (IPFIX) flow formats and a broad range of fields, allowing the EndaceFlow 3040 to seamlessly integrate with any NetFlow collector in the market.
When the EndaceFlow 3040 is combined with behavioral-based analytics tools from partners such as Lancope and SevOne, NetOps and SecOps personnel are able to create complete solutions that significantly speed resolution of critical network and security issues. In the case of one customer, this reduced their time-to-resolution (TTR) for critical incidents from 30-50 hours to only a couple of hours. The result is significantly improved network uptime and lower OPEX through reduced TTR for these critical incidents.
The Latest
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.
The quietest week your engineering team has ever had might also be its best. No alarms going off. No escalations. No frantic Teams or Slack threads at 2 a.m. Everything humming along exactly as it should. And somewhere in a leadership meeting, someone looks at the metrics dashboard, sees a flat line of incidents and says: "Seems like things are pretty calm over there. Do we really need all those people?" ... I've spent many years in engineering, and this pattern keeps repeating ...