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Brocade Expands Data Center Networking Solutions

Brocade announced an expanded Brocade SLX family with new switches that feature network visibility and the addition of Brocade Workflow Composer Automation Suites for turnkey automation.

With Brocade, organizations can build networks that allow them to quickly adapt to technology transitions, deliver new services at cloud speed and accelerate digital transformation.

Building on the Brocade SLX 9850 routing solution that Brocade introduced in September, the new Brocade SLX 9140, SLX 9240 and SLX 9540 data center switches deliver flexible leaf, spine and edge connectivity while leveraging the Brocade SLX Insight Architecture™. By embedding network visibility on every router and switch, organizations can achieve pervasive visibility throughout the network to quickly identify problems, accelerate mean-time-to-remediation and improve overall service levels. The Brocade SLX 9140 and 9240 extend these capabilities with a programmable ASIC that provides Visibility Services from the physical wire to virtual networks and workloads.

New automation suites, including Network Essentials, Data Center Fabrics and Internet Exchange Points for the Brocade Workflow Composer platform, powered by StackStorm, provide automated network provisioning, validation, troubleshooting and remediation workflows. These automation suites are ideal for customers who want to jumpstart their automation journey with pre-built workflows to accelerate time-to-value. Introduced earlier this year, Brocade Workflow Composer is a server-based, DevOps-style network automation platform that integrates across IT domains for end-to-end workflow automation.

"Organizations that are going through digital transformation need networks that are extremely agile, extensively automated and highly visible," said Jason Nolet, SVP, Switching, Routing and Analytics Products Group, Brocade. "Brocade is delivering the breadth and depth of flexibility and agility that sets us apart from other network providers. We do so vertically across the data center stack, and horizontally across domains within the data center -- while being open at every layer."

Brocade SLX Family Advancements

- The new Brocade SLX 9140 leaf switch provides native 48x25 GbE server-facing ports and 6x100 GbE ports in a 1U fixed form factor. It also features flexible 1/10/25/40/100 GbE configuration options.

- The new Brocade SLX 9240 spine switch delivers high density 32x100 GbE ports in a 1U fixed form factor.

- Both the Brocade SLX 9140 and SLX 9240 switches feature the first programmable ASIC in their class of switch enabling Brocade to rapidly deliver new capabilities via software. This eliminates expensive forklift upgrades for customers when new technologies and protocols are introduced into the environment. The ASIC builds on the Brocade SLX Insight Architecture, an open kernel-based virtual machine (KVM) environment to run third-party and customer-specific monitoring, troubleshooting and analytics applications, by adding Visibility Services to provide insight into virtual networks and workloads. Actions can be taken within the switch or through applications and tools outside of the switch, such as Splunk or Brocade Workflow Composer.

- The Brocade SLX 9540 switch delivers carrier-class features in a cost-effective 1 RU fixed form factor optimized for data center interconnect, WAN edge and Internet exchange point deployments. It offers 48x10 GbE ports and 6x100 GbE ports.

The Brocade SLX 9140 and SLX 9240 are currently planned to be orderable in January 2017. The Brocade SLX 9540 is orderable today. All switches are planned to be generally available in April 2017. Brocade Workflow Composer is generally available today. The new automation suites will be available for preview in December 2016 with general availability planned for February 2017.

The Latest

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 ...

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.

Brocade Expands Data Center Networking Solutions

Brocade announced an expanded Brocade SLX family with new switches that feature network visibility and the addition of Brocade Workflow Composer Automation Suites for turnkey automation.

With Brocade, organizations can build networks that allow them to quickly adapt to technology transitions, deliver new services at cloud speed and accelerate digital transformation.

Building on the Brocade SLX 9850 routing solution that Brocade introduced in September, the new Brocade SLX 9140, SLX 9240 and SLX 9540 data center switches deliver flexible leaf, spine and edge connectivity while leveraging the Brocade SLX Insight Architecture™. By embedding network visibility on every router and switch, organizations can achieve pervasive visibility throughout the network to quickly identify problems, accelerate mean-time-to-remediation and improve overall service levels. The Brocade SLX 9140 and 9240 extend these capabilities with a programmable ASIC that provides Visibility Services from the physical wire to virtual networks and workloads.

New automation suites, including Network Essentials, Data Center Fabrics and Internet Exchange Points for the Brocade Workflow Composer platform, powered by StackStorm, provide automated network provisioning, validation, troubleshooting and remediation workflows. These automation suites are ideal for customers who want to jumpstart their automation journey with pre-built workflows to accelerate time-to-value. Introduced earlier this year, Brocade Workflow Composer is a server-based, DevOps-style network automation platform that integrates across IT domains for end-to-end workflow automation.

"Organizations that are going through digital transformation need networks that are extremely agile, extensively automated and highly visible," said Jason Nolet, SVP, Switching, Routing and Analytics Products Group, Brocade. "Brocade is delivering the breadth and depth of flexibility and agility that sets us apart from other network providers. We do so vertically across the data center stack, and horizontally across domains within the data center -- while being open at every layer."

Brocade SLX Family Advancements

- The new Brocade SLX 9140 leaf switch provides native 48x25 GbE server-facing ports and 6x100 GbE ports in a 1U fixed form factor. It also features flexible 1/10/25/40/100 GbE configuration options.

- The new Brocade SLX 9240 spine switch delivers high density 32x100 GbE ports in a 1U fixed form factor.

- Both the Brocade SLX 9140 and SLX 9240 switches feature the first programmable ASIC in their class of switch enabling Brocade to rapidly deliver new capabilities via software. This eliminates expensive forklift upgrades for customers when new technologies and protocols are introduced into the environment. The ASIC builds on the Brocade SLX Insight Architecture, an open kernel-based virtual machine (KVM) environment to run third-party and customer-specific monitoring, troubleshooting and analytics applications, by adding Visibility Services to provide insight into virtual networks and workloads. Actions can be taken within the switch or through applications and tools outside of the switch, such as Splunk or Brocade Workflow Composer.

- The Brocade SLX 9540 switch delivers carrier-class features in a cost-effective 1 RU fixed form factor optimized for data center interconnect, WAN edge and Internet exchange point deployments. It offers 48x10 GbE ports and 6x100 GbE ports.

The Brocade SLX 9140 and SLX 9240 are currently planned to be orderable in January 2017. The Brocade SLX 9540 is orderable today. All switches are planned to be generally available in April 2017. Brocade Workflow Composer is generally available today. The new automation suites will be available for preview in December 2016 with general availability planned for February 2017.

The Latest

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 ...

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.