Extreme Networks introduced a suite of new solutions, creating new ways for customers to drive better outcomes from their networks in the era of the Infinite Enterprise.
The company has extended its ExtremeCloud portfolio to include new SD-WAN and AIOps with digital twin capabilities – enabling customers to deliver secure connectivity at the edge of the network, speed cloud deployments and uncover actionable insights – all from within a single platform.
ExtremeCloud SD-WAN: As work from anywhere models are becoming the standard, organizations strive to find a way to modernize both branch and remote networks to securely connect applications in the cloud. With Extreme’s new SD-WAN offering, enterprises can:
- Simplify management by enabling customers to manage wired, wireless and SD-WAN from a single platform.
- Enhance security by leveraging a range of options from built-in firewall to advanced cloud security using EdgeSentry (powered by Check Point).
- Improve application performance optimizing more than 4,000 apps and dynamically routing traffic to ensure quality experiences for critical applications like voice and video.
- Improve TCO via a simple, cost-effective subscription licensing model inclusive of hardware, software, support and customer success.
ExtremeCloud IQ CoPilot AIOps solution is now available with several new features designed to improve deployment and day-to-day operations, while reducing business risk.
- Simplify staging, validation and deployment of switches and access points from the cloud with new digital twin capabilities. Eliminate weeks or months associated with hardware deployments by first creating a digital twin to ensure smooth roll outs.
- Reduce mean time to resolution leveraging explainable AI/ML to distinguish network anomalies and help IT and network administrators see, verify and trust proactive insights.
- Efficiently use IT resources with features like automated ticketing, which does not require customer action.
- Manage the network from any device using ExtremeCloud IQ Companion. IT teams can flexibly manage operations and gain real-time visibility into the network, regardless of location or device.
Extreme also introduced the 5720 Universal Switch, the latest in a series of high-performance, feature-rich wired switches for enterprise deployments. Benefits include:
- Support for multiple deployment use cases makes it easy for customers to run their networking operating system of choice, while preserving hardware and associated licenses.
- Automate network operations, streamline network provisioning and enhance security as a result of support for Extreme’s Fabric Connect™.
Nabil Bukhari, CTO and CPO, Extreme Networks, said: “Our new suite of solutions will better equip our customers to go beyond cloud management and start unlocking critical insights that make the network a strategic asset. We’re bringing security and connectivity together and making it simple to manage, deploy and scale to meet the ever-evolving needs brought on by the Infinite Enterprise. We’ve layered features into our cloud solution that will drive meaningful business impact and ROI by simplifying operations, removing complexity and reducing risk.”
The Latest
In the world of digital-first business, there is no tolerance for service outages. Businesses know that outages are the quickest way to lose money and customers. For smaller organizations, unplanned downtime could even force the business to close ... A new study from PagerDuty, The State of AI-First Operations, reveals that companies actively incorporating AI into operations now view operational resilience as a growth driver rather than a cost center. But how are they achieving it? ...
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 ...