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RightScale Launches Network Manager

RightScale launched Network Manager, a new capability in RightScale Cloud Management that simplifies network management in the cloud, helps companies improve security and auditing, and makes applications more easily portable across clouds.

Network Manager provides an abstraction of virtual network resources across cloud providers, including resources in software-defined networks (SDN), with a common UI and API to access these resources.

Network Manager also includes Network Map, an interactive visualization tool to help users understand network topologies and improve cloud security.

RightScale now provides a comprehensive platform to manage compute, storage, and network across different cloud technologies, enabling customers to freely choose and migrate among public, private, and hybrid cloud environments from a single pane of glass.

RightScale Network Manager provides multi-cloud network abstractions including subnets, security groups, and network gateways to make applications portable across clouds and to simplify security and network administration in the cloud.

The easy-to-use, powerful visualization tool aids various professionals in the enterprise, including those involved with DevOps, networking, IT, system administration, information security, and software development.

“Private and public clouds increasingly leverage new networking technologies, including SDNs. Network Manager helps professionals visualize and audit cloud network histories, improve security, and manage networks across clouds,” said Rishi Vaish, RightScale VP of Product.

With RightScale Network Manager, enterprise users benefit from:

- Advanced visualization tools: RightScale Network Manager includes a new Network Map visualization tool that helps users view ingress rules across networks. Users can see all network configurations across all their clouds in one place.

- Better security and auditing: RightScale Network Manager records audit entries when anyone makes any network changes. Enterprises can also set access controls to allow only select users to modify network configurations. Administrators can see what is in use, by whom, and within which environments.

- Faster application deployment and portability: RightScale Network Manager enables enterprises to use common network configurations, which allows for fewer errors and faster application portability across data centers.

The Latest

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.

The quietest week your engineering team has ever had might also be its best. No alarms going off. No escalations. No frantic Teams or Slack threads at 2 a.m. Everything humming along exactly as it should. And somewhere in a leadership meeting, someone looks at the metrics dashboard, sees a flat line of incidents and says: "Seems like things are pretty calm over there. Do we really need all those people?" ... I've spent many years in engineering, and this pattern keeps repeating ...

RightScale Launches Network Manager

RightScale launched Network Manager, a new capability in RightScale Cloud Management that simplifies network management in the cloud, helps companies improve security and auditing, and makes applications more easily portable across clouds.

Network Manager provides an abstraction of virtual network resources across cloud providers, including resources in software-defined networks (SDN), with a common UI and API to access these resources.

Network Manager also includes Network Map, an interactive visualization tool to help users understand network topologies and improve cloud security.

RightScale now provides a comprehensive platform to manage compute, storage, and network across different cloud technologies, enabling customers to freely choose and migrate among public, private, and hybrid cloud environments from a single pane of glass.

RightScale Network Manager provides multi-cloud network abstractions including subnets, security groups, and network gateways to make applications portable across clouds and to simplify security and network administration in the cloud.

The easy-to-use, powerful visualization tool aids various professionals in the enterprise, including those involved with DevOps, networking, IT, system administration, information security, and software development.

“Private and public clouds increasingly leverage new networking technologies, including SDNs. Network Manager helps professionals visualize and audit cloud network histories, improve security, and manage networks across clouds,” said Rishi Vaish, RightScale VP of Product.

With RightScale Network Manager, enterprise users benefit from:

- Advanced visualization tools: RightScale Network Manager includes a new Network Map visualization tool that helps users view ingress rules across networks. Users can see all network configurations across all their clouds in one place.

- Better security and auditing: RightScale Network Manager records audit entries when anyone makes any network changes. Enterprises can also set access controls to allow only select users to modify network configurations. Administrators can see what is in use, by whom, and within which environments.

- Faster application deployment and portability: RightScale Network Manager enables enterprises to use common network configurations, which allows for fewer errors and faster application portability across data centers.

The Latest

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.

The quietest week your engineering team has ever had might also be its best. No alarms going off. No escalations. No frantic Teams or Slack threads at 2 a.m. Everything humming along exactly as it should. And somewhere in a leadership meeting, someone looks at the metrics dashboard, sees a flat line of incidents and says: "Seems like things are pretty calm over there. Do we really need all those people?" ... I've spent many years in engineering, and this pattern keeps repeating ...