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Extreme Networks Unveils Extreme Elements

Extreme Networks announced Extreme Elements, a combination of software, hardware and services that can be mixed and matched to create customized solutions for enterprises in every industry.

Extreme Elements are components of Extreme's Smart OmniEdge, Automated Campus and Agile Data Center solutions – underpinned by human and machine intelligence – that give customers the building blocks they need to create autonomous networks capable of learning and self-correcting, and ultimately an autonomous enterprise where architecture, automation, and human intelligence operate in harmony. Unlike other networking architectures, Extreme Elements are intrinsically secure, and offer multi-vendor support in an open and standards-based ecosystem. Analytics, automation, security and IoT tools are the glue that bring distinct elements together, and include:

- Extreme Management Center: Network management software gives IT centralized management and end-to-end visibility, ensuring smooth operations and fast problem resolution.

- ExtremeAI Security: New application leverages machine learning and artificial intelligence to deliver deep visibility and detection of malicious traffic, real-time monitoring of IoT devices for behavioral anomalies and automated remediation.

- Extreme Workflow Composer: Network orchestrator allows organizations to implement automation at their own pace with turnkey, customizable or do-it-yourself network workflow automation, all supported in multi-vendor network environments.

- Extreme Software-Driven Infrastructure: State-of-the-art edge, campus and data center solutions enhanced with next-generation x86-based intelligent appliances, including the ExtremeCloud Appliance™, ExtremeSwitching™ X465 premium, stackable multi-rate gigabit Ethernet switch and the forthcoming ExtremeAccess platform — all of which offer container support to deliver computing power right to where you need it.

- ExtremeAnalytics: Network and application analytics software enables IT to understand which applications are running on the network, who is using them and the response time for each application so they can quickly detect anomalies and optimize application performance, from the edge to the data center and into the multi-cloud.

- Defender for IoT: Endpoint security solution empowers enterprises to securely deploy unsecured IoT devices, while isolating them from other services. Defender for IoT can be deployed on any network and is so easy to use even non-technical staff at schools, hospitals, retailers and hospitality venues can use it to isolate and protect both wired and wireless IoT devices from cyberattacks.

Software and hardware Elements are complemented by a robust portfolio of services and support provided by Extreme via its Professional Services organization and its global partner community, and underscored by a collaborative, customer-driven approach. Anything is possible with the right combination of Elements.

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Extreme Networks Unveils Extreme Elements

Extreme Networks announced Extreme Elements, a combination of software, hardware and services that can be mixed and matched to create customized solutions for enterprises in every industry.

Extreme Elements are components of Extreme's Smart OmniEdge, Automated Campus and Agile Data Center solutions – underpinned by human and machine intelligence – that give customers the building blocks they need to create autonomous networks capable of learning and self-correcting, and ultimately an autonomous enterprise where architecture, automation, and human intelligence operate in harmony. Unlike other networking architectures, Extreme Elements are intrinsically secure, and offer multi-vendor support in an open and standards-based ecosystem. Analytics, automation, security and IoT tools are the glue that bring distinct elements together, and include:

- Extreme Management Center: Network management software gives IT centralized management and end-to-end visibility, ensuring smooth operations and fast problem resolution.

- ExtremeAI Security: New application leverages machine learning and artificial intelligence to deliver deep visibility and detection of malicious traffic, real-time monitoring of IoT devices for behavioral anomalies and automated remediation.

- Extreme Workflow Composer: Network orchestrator allows organizations to implement automation at their own pace with turnkey, customizable or do-it-yourself network workflow automation, all supported in multi-vendor network environments.

- Extreme Software-Driven Infrastructure: State-of-the-art edge, campus and data center solutions enhanced with next-generation x86-based intelligent appliances, including the ExtremeCloud Appliance™, ExtremeSwitching™ X465 premium, stackable multi-rate gigabit Ethernet switch and the forthcoming ExtremeAccess platform — all of which offer container support to deliver computing power right to where you need it.

- ExtremeAnalytics: Network and application analytics software enables IT to understand which applications are running on the network, who is using them and the response time for each application so they can quickly detect anomalies and optimize application performance, from the edge to the data center and into the multi-cloud.

- Defender for IoT: Endpoint security solution empowers enterprises to securely deploy unsecured IoT devices, while isolating them from other services. Defender for IoT can be deployed on any network and is so easy to use even non-technical staff at schools, hospitals, retailers and hospitality venues can use it to isolate and protect both wired and wireless IoT devices from cyberattacks.

Software and hardware Elements are complemented by a robust portfolio of services and support provided by Extreme via its Professional Services organization and its global partner community, and underscored by a collaborative, customer-driven approach. Anything is possible with the right combination of Elements.

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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 ...