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RightScale Adds Enterprise-Level Control to Cloud Management Platform

RightScale unveiled a suite of features for the RightScale cloud management platform that provide users with new enterprise-grade controls for security, management and governance.

As enterprise cloud adoption shifts from individual projects to a CIO-driven strategic initiative, organizations need better ways to manage their portfolio of cloud-based resources to meet their financial, governance and security requirements. RightScale's new features deliver the added controls enterprises need to manage their cloud applications.

"Whether enterprises are leveraging public, private or hybrid clouds, they need a cloud management platform that provides them with seamless management and control over cloud security, governance and costs," said Thorsten von Eicken, chief technical officer at RightScale. "Our new enterprise features provide the critical cloud management capabilities organizations need today, and will also grow with them as they continue to expand their use of cloud infrastructure."

RightScale now includes a new Enterprise Reporting capability that allows customized reporting on usage and costs across multiple clouds, accounts, business units, applications and functions. Reports can be used for “showback” or “chargeback” accounting to departments, application owners or business units. Customers have the option to automatically schedule reports and export them for integration with internal accounting systems.

While it is easy for users within the enterprise to spin up servers in the cloud, enterprises find it challenging to track costs and provide chargebacks across accounts and applications. RightScale allows users to tag cloud resources with department, application, type, or any other value they choose. With Enterprise Reporting, RightScale customers can leverage those tags to see who is using what in the cloud and then allocate those costs to individual departments.

In addition, customers can also use PlanForCloud, a recently announced cloud cost forecasting tool from RightScale, to budget for future cloud spend based on anticipated growth or changes in usage patterns.

RightScale also announced Long Term Support (LTS) for RightScale-provided ServerTemplates with an 18-month assurance of bug fixes and backward compatibility. ServerTemplates are pre-built, customizable templates that allow customers to quickly create multi-tier architectures in the cloud of their choice, using the most popular databases, applications servers and web servers. ServerTemplates include multi-cloud base images with Linux or Windows operating systems tuned for each cloud, as well as out-of-the-box scripts that automate server operations.

The new LTS versions of ServerTemplates offer customers a long-term stable platform for building cloud applications with the assurance of RightScale support for bugs and technical issues. By using LTS ServerTemplates, customers can get their cloud applications deployed more quickly while also leveraging ongoing maintenance from RightScale.

RightScale’s new enterprise features are now available.

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 ...

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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 Adds Enterprise-Level Control to Cloud Management Platform

RightScale unveiled a suite of features for the RightScale cloud management platform that provide users with new enterprise-grade controls for security, management and governance.

As enterprise cloud adoption shifts from individual projects to a CIO-driven strategic initiative, organizations need better ways to manage their portfolio of cloud-based resources to meet their financial, governance and security requirements. RightScale's new features deliver the added controls enterprises need to manage their cloud applications.

"Whether enterprises are leveraging public, private or hybrid clouds, they need a cloud management platform that provides them with seamless management and control over cloud security, governance and costs," said Thorsten von Eicken, chief technical officer at RightScale. "Our new enterprise features provide the critical cloud management capabilities organizations need today, and will also grow with them as they continue to expand their use of cloud infrastructure."

RightScale now includes a new Enterprise Reporting capability that allows customized reporting on usage and costs across multiple clouds, accounts, business units, applications and functions. Reports can be used for “showback” or “chargeback” accounting to departments, application owners or business units. Customers have the option to automatically schedule reports and export them for integration with internal accounting systems.

While it is easy for users within the enterprise to spin up servers in the cloud, enterprises find it challenging to track costs and provide chargebacks across accounts and applications. RightScale allows users to tag cloud resources with department, application, type, or any other value they choose. With Enterprise Reporting, RightScale customers can leverage those tags to see who is using what in the cloud and then allocate those costs to individual departments.

In addition, customers can also use PlanForCloud, a recently announced cloud cost forecasting tool from RightScale, to budget for future cloud spend based on anticipated growth or changes in usage patterns.

RightScale also announced Long Term Support (LTS) for RightScale-provided ServerTemplates with an 18-month assurance of bug fixes and backward compatibility. ServerTemplates are pre-built, customizable templates that allow customers to quickly create multi-tier architectures in the cloud of their choice, using the most popular databases, applications servers and web servers. ServerTemplates include multi-cloud base images with Linux or Windows operating systems tuned for each cloud, as well as out-of-the-box scripts that automate server operations.

The new LTS versions of ServerTemplates offer customers a long-term stable platform for building cloud applications with the assurance of RightScale support for bugs and technical issues. By using LTS ServerTemplates, customers can get their cloud applications deployed more quickly while also leveraging ongoing maintenance from RightScale.

RightScale’s new enterprise features are now available.

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 ...