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NetBrain Next-Gen v11 Released

NetBrain Technologies announced NetBrain Next-Gen, version v11 of its flagship product.

NetBrain Next-Gen extends NetBrain’s no-code network automation capabilities to every hybrid multi-cloud environment and further simplifies the ability to capture and scale intent-based network management. It also adds a revolutionary new dashboard and reporting subsystem that continuously provides real-time KPI detail of the infrastructure’s service delivery status, optimization usage and overall resource savings, and a new Automation Bot that enables anyone to quickly diagnose network issues and share with others without any help, NetBrain know-how, or even a license.

NetBrain Next-Gen enables enterprises to change the way they operate their digital infrastructures. Rather than focusing on the health of network devices as they have done for decades, NetBrain Next-Gen enables them to describe and manage their digital infrastructures as a compilation of intended behaviors as defined by their operational teams, security teams, and any other team that bases its service delivery function on the digital infrastructure itself. With NetBrain Next-Gen, a typical enterprise network may be represented by tens of thousands of network intents. This closely aligns the specific needs of the business and all its applications with the network operational plans in place.

“We have the luxury of having thousands of customers worldwide who operate some of the world’s largest infrastructures, so we listen very carefully to their operational needs at scale,” said Lingping Gao, Founder and CEO at NetBrain. “NetBrain Next-Gen introduces our new Automation Data Table technology, which enables anyone to capture, replicate and enforce desired network behaviors, and then share these intents in our global automation catalog. This dramatically reduces remediation times, the need for additional headcount, the risk of human error, and escalations since the entire organization now has access to the collective wisdom of their peers. NetBrain Next-Gen makes our no-code network automation accessible to everyone that wants it.”

NetBrain Next Gen’s no-code network automation addresses these issues by improving service availability while reducing business risk, operational cost, outages and escalations significantly.

NetBrain Next-Gen makes no-code automation easier to use, more scalable, and empowers more NetOps personnel to maximize productivity. Specific updates include:

- Democratization of automation powered by a new global intent database called Automation Data Tables (ADT): Now anyone can intuitively create, replicate, customize and utilize intent-based automation by leveraging this powerful global automation catalogue.

- Scale out automation more efficiently with programmable intent replication: Push NetOps to the next level with recursive, template-powered auto-replication on demand during troubleshooting across multi-vendor networks. Many diagnoses can be combined into a single intent for more powerful, accurate automation.

- Event-driven on-demand dynamic maps and diagnostic automation: Create diagnostic catalogues to dynamically map problem areas, troubleshoot network problems, accelerate key operational workflows, avoid unintended network changes, and proactively prevent problems. Next-Gen simplifies follow-up automation to downstream or related devices when errors, service disruptions, non-compliance or configuration drift are detected.

- Enhanced automation workflows: Uses trouble ticket data, self-service or monitoring probes to auto-trigger diagnostic automation. Pre-program notifications via email or API to ITSM systems like ServiceNow, to auto-create and close tickets and to send data to third-party observability systems like Splunk.

- Demystify cloud and SDN: Extends diagnostic intent-based automation to API-based SDN and public cloud networks while integrating data from third-party external observability systems for a unified hybrid view. Monitor and troubleshoot routing configuration and status, VPN tunnel and private cloud connectivity, data metrics, resource compliance and security configurations and events. Setup preventive automation, and correlate data with external monitoring systems.

- Enhanced reporting dashboard: Customizable reports provide crucial automation and diagnostic summaries. Drill down for detail on network health across hybrid-cloud and power compliance checks, capacity planning and performance trend analysis. See results for a specific problem or a network change to analyze user activity, tasks and incident status.

- Chatbot for conversation-driven, self-service NetOps: Allows anyone to execute multi-step intent-based automations to solve real-world challenges fast without escalations using a simple web-based chat conversation. Pull and share hybrid-cloud maps, prompt users and share findings with others to speed troubleshooting, compliance tasks and change management.

NetBrain Next-Gen is available immediately and available to all active customers as part of their subscriptions and maintenance service agreements.

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.

NetBrain Next-Gen v11 Released

NetBrain Technologies announced NetBrain Next-Gen, version v11 of its flagship product.

NetBrain Next-Gen extends NetBrain’s no-code network automation capabilities to every hybrid multi-cloud environment and further simplifies the ability to capture and scale intent-based network management. It also adds a revolutionary new dashboard and reporting subsystem that continuously provides real-time KPI detail of the infrastructure’s service delivery status, optimization usage and overall resource savings, and a new Automation Bot that enables anyone to quickly diagnose network issues and share with others without any help, NetBrain know-how, or even a license.

NetBrain Next-Gen enables enterprises to change the way they operate their digital infrastructures. Rather than focusing on the health of network devices as they have done for decades, NetBrain Next-Gen enables them to describe and manage their digital infrastructures as a compilation of intended behaviors as defined by their operational teams, security teams, and any other team that bases its service delivery function on the digital infrastructure itself. With NetBrain Next-Gen, a typical enterprise network may be represented by tens of thousands of network intents. This closely aligns the specific needs of the business and all its applications with the network operational plans in place.

“We have the luxury of having thousands of customers worldwide who operate some of the world’s largest infrastructures, so we listen very carefully to their operational needs at scale,” said Lingping Gao, Founder and CEO at NetBrain. “NetBrain Next-Gen introduces our new Automation Data Table technology, which enables anyone to capture, replicate and enforce desired network behaviors, and then share these intents in our global automation catalog. This dramatically reduces remediation times, the need for additional headcount, the risk of human error, and escalations since the entire organization now has access to the collective wisdom of their peers. NetBrain Next-Gen makes our no-code network automation accessible to everyone that wants it.”

NetBrain Next Gen’s no-code network automation addresses these issues by improving service availability while reducing business risk, operational cost, outages and escalations significantly.

NetBrain Next-Gen makes no-code automation easier to use, more scalable, and empowers more NetOps personnel to maximize productivity. Specific updates include:

- Democratization of automation powered by a new global intent database called Automation Data Tables (ADT): Now anyone can intuitively create, replicate, customize and utilize intent-based automation by leveraging this powerful global automation catalogue.

- Scale out automation more efficiently with programmable intent replication: Push NetOps to the next level with recursive, template-powered auto-replication on demand during troubleshooting across multi-vendor networks. Many diagnoses can be combined into a single intent for more powerful, accurate automation.

- Event-driven on-demand dynamic maps and diagnostic automation: Create diagnostic catalogues to dynamically map problem areas, troubleshoot network problems, accelerate key operational workflows, avoid unintended network changes, and proactively prevent problems. Next-Gen simplifies follow-up automation to downstream or related devices when errors, service disruptions, non-compliance or configuration drift are detected.

- Enhanced automation workflows: Uses trouble ticket data, self-service or monitoring probes to auto-trigger diagnostic automation. Pre-program notifications via email or API to ITSM systems like ServiceNow, to auto-create and close tickets and to send data to third-party observability systems like Splunk.

- Demystify cloud and SDN: Extends diagnostic intent-based automation to API-based SDN and public cloud networks while integrating data from third-party external observability systems for a unified hybrid view. Monitor and troubleshoot routing configuration and status, VPN tunnel and private cloud connectivity, data metrics, resource compliance and security configurations and events. Setup preventive automation, and correlate data with external monitoring systems.

- Enhanced reporting dashboard: Customizable reports provide crucial automation and diagnostic summaries. Drill down for detail on network health across hybrid-cloud and power compliance checks, capacity planning and performance trend analysis. See results for a specific problem or a network change to analyze user activity, tasks and incident status.

- Chatbot for conversation-driven, self-service NetOps: Allows anyone to execute multi-step intent-based automations to solve real-world challenges fast without escalations using a simple web-based chat conversation. Pull and share hybrid-cloud maps, prompt users and share findings with others to speed troubleshooting, compliance tasks and change management.

NetBrain Next-Gen is available immediately and available to all active customers as part of their subscriptions and maintenance service agreements.

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.