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Brocade Enhances Analytics Monitoring Platform

Brocade announced new capabilities in the Brocade Analytics Monitoring Platform providing organizations with end-to-end visibility and greater insight into application performance.

As a result, customers can reduce up to nearly 70 percent of storage networking latency and performance-related problems by quickly identifying changes in performance behaviors as well as pinpointing the root cause of issues before users are affected.

The Brocade Analytics Monitoring Platform is a purpose-built SAN appliance that measures application- and device-level I/O performance and analyzes traffic behavior within Brocade Gen 6 and Gen 5 Fibre Channel networks. The solution delivers actionable intelligence to administrators enabling them to optimize application performance. Utilizing Brocade Fabric Vision™ technology, the Brocade Analytics Monitoring Platform is non-invasive and non-disruptive providing end-to-end performance data to dramatically reduce troubleshooting time.

New features in the Brocade Analytics Monitoring Platform include:

- Greater flexibility of monitoring and alerting with Flow Collections. This capability allows users to customize monitoring levels per device, application or other uniquely defined logical groups of data flows. The ability to create logical groups of highly granular flow information simplifies troubleshooting, speeds up the planning process and provides simple yet flexible monitoring options for users.

- Optimized user workflows in Brocade Network Advisor for the Analytics Monitoring Platform allow users to quickly identify problem behaviors and rapidly perform root cause analysis. A new Investigation Mode feature provides intuitive views to instantly drill into the details required for understanding complex behaviors and correlating events.

- A Flow Filtering capability allows users to pinpoint critical information of interest even in the most complex, virtualized environments with thousands of devices and tens of thousands of flows.

- Customizable reporting capabilities correlate metrics and events, summarize trends for behavior analysis and demonstrate compliance with performance SLAs.

- A new database architecture in Brocade Network Advisor provides a highly responsive user experience and increased scalability for large environments.

- A new user-friendly dashboard interface and modern hardware design.

"The Brocade Analytics Monitoring Platform eliminates the need to implement multiple solutions at various endpoints and provides a more comprehensive view of the server, storage and network performance," said Jack Rondoni, VP of Storage Networking, Brocade. "With the Brocade Analytics Monitoring Platform, organizations have complete visibility over their infrastructure allowing them to identify the true cause of any degradation and take action to meet application SLAs."

Organizations using the Brocade Analytics Monitoring Platform in either Brocade Gen 6 or Brocade Gen 5 Fibre Channel SAN will also be able to leverage VM Insight for unparalleled end-to-end visibility into the application performance of individual VMs. Brocade currently plans to make VM Insight available as part of Fabric Vision technology and supported in the Brocade Analytics Monitoring Platform sometime in 2017. VM Insight uses standards-based VM tagging to enable the monitoring of VM-level application performance behavior. Using this information, storage administrators can establish baseline application performance and identify anomalies in order to fine-tune the infrastructure to meet service level objectives. VM Insight also enables fast correlation with other Fabric Vision metrics to identify the root cause of problems before operations are affected.

"As the lines between operational and business applications blur, it's important to have the ability to deploy tools that allow IT organizations to be able to drill down and gain in-depth information on every aspect of the data center," said Lee Caswell, VP, Storage & Availability, VMware. "VMware is excited to have our ecosystem provide solutions that will help customers, and with Brocade's VM Insight, mutual customers now gain end-to-end visibility into the application performance of individual VMs. This is an ideal way to complement VMware's visibility at the server and storage layer."

General availability is planned for the fourth quarter of 2016.

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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 ...

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Brocade Enhances Analytics Monitoring Platform

Brocade announced new capabilities in the Brocade Analytics Monitoring Platform providing organizations with end-to-end visibility and greater insight into application performance.

As a result, customers can reduce up to nearly 70 percent of storage networking latency and performance-related problems by quickly identifying changes in performance behaviors as well as pinpointing the root cause of issues before users are affected.

The Brocade Analytics Monitoring Platform is a purpose-built SAN appliance that measures application- and device-level I/O performance and analyzes traffic behavior within Brocade Gen 6 and Gen 5 Fibre Channel networks. The solution delivers actionable intelligence to administrators enabling them to optimize application performance. Utilizing Brocade Fabric Vision™ technology, the Brocade Analytics Monitoring Platform is non-invasive and non-disruptive providing end-to-end performance data to dramatically reduce troubleshooting time.

New features in the Brocade Analytics Monitoring Platform include:

- Greater flexibility of monitoring and alerting with Flow Collections. This capability allows users to customize monitoring levels per device, application or other uniquely defined logical groups of data flows. The ability to create logical groups of highly granular flow information simplifies troubleshooting, speeds up the planning process and provides simple yet flexible monitoring options for users.

- Optimized user workflows in Brocade Network Advisor for the Analytics Monitoring Platform allow users to quickly identify problem behaviors and rapidly perform root cause analysis. A new Investigation Mode feature provides intuitive views to instantly drill into the details required for understanding complex behaviors and correlating events.

- A Flow Filtering capability allows users to pinpoint critical information of interest even in the most complex, virtualized environments with thousands of devices and tens of thousands of flows.

- Customizable reporting capabilities correlate metrics and events, summarize trends for behavior analysis and demonstrate compliance with performance SLAs.

- A new database architecture in Brocade Network Advisor provides a highly responsive user experience and increased scalability for large environments.

- A new user-friendly dashboard interface and modern hardware design.

"The Brocade Analytics Monitoring Platform eliminates the need to implement multiple solutions at various endpoints and provides a more comprehensive view of the server, storage and network performance," said Jack Rondoni, VP of Storage Networking, Brocade. "With the Brocade Analytics Monitoring Platform, organizations have complete visibility over their infrastructure allowing them to identify the true cause of any degradation and take action to meet application SLAs."

Organizations using the Brocade Analytics Monitoring Platform in either Brocade Gen 6 or Brocade Gen 5 Fibre Channel SAN will also be able to leverage VM Insight for unparalleled end-to-end visibility into the application performance of individual VMs. Brocade currently plans to make VM Insight available as part of Fabric Vision technology and supported in the Brocade Analytics Monitoring Platform sometime in 2017. VM Insight uses standards-based VM tagging to enable the monitoring of VM-level application performance behavior. Using this information, storage administrators can establish baseline application performance and identify anomalies in order to fine-tune the infrastructure to meet service level objectives. VM Insight also enables fast correlation with other Fabric Vision metrics to identify the root cause of problems before operations are affected.

"As the lines between operational and business applications blur, it's important to have the ability to deploy tools that allow IT organizations to be able to drill down and gain in-depth information on every aspect of the data center," said Lee Caswell, VP, Storage & Availability, VMware. "VMware is excited to have our ecosystem provide solutions that will help customers, and with Brocade's VM Insight, mutual customers now gain end-to-end visibility into the application performance of individual VMs. This is an ideal way to complement VMware's visibility at the server and storage layer."

General availability is planned for the fourth quarter of 2016.

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.