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RightScale and Equinix Partnership Delivers New Cloud Management Service

Equinix, a provider of global data center services, and RightScale, a provider of cloud computing management, announced a strategic global partnership to deliver a complete cloud solution to the corporate IT and service provider markets.

With this partnership, the RightScale Cloud Management Platform will provide Platform Equinix customers with a comprehensive management offering for all cloud infrastructure ― including public, private and multi-cloud/hybrid clouds — managed and controlled through a single cloud service.

As the result of this partnership, corporate IT organizations will be able to leverage RightScale and Platform Equinix to seamlessly manage workloads among private clouds and various public cloud providers. This allows global enterprises to access an unprecedented choice of cloud services in real-time through the RightScale management platform, ensuring high availability, business continuity and disaster recovery without compromising data security, compliance or risk mitigation.

Now IT teams can leverage the combination of their own corporate private cloud with a direct high-speed connection to public clouds already in an Equinix facility managed through a single dashboard with RightScale. This new cloud package provides customers with true workload deployment freedom by connecting their private cloud infrastructure directly to joint Equinix and RightScale public cloud partners such as Amazon Web Services (AWS), Rackspace, Logicworks, SoftLayer and Datapipe.

In addition, service providers who have invested in deploying assets in Platform Equinix to establish their cloud offerings will have the opportunity to partner with RightScale to enhance their services and participate in building out a network of clouds enabled by Platform Equinix. Service providers can offer their customers a state-of-the-art management platform that will allow them to deploy workloads on demand to various clouds based on their requirements, ensuring optimal end-user performance, minimizing delivery costs and accelerating time-to-market for new services.

Customers will access RightScale cloud management using RightScale myCloud, which provides a “single pane of glass” for enterprises to provision and manage servers in private clouds and multiple public clouds.

Customers will also benefit from the RightScale MultiCloud Marketplace which includes a library of pre-built cloud ServerTemplates, scripts and architectures published by RightScale, ISV and SI partners. All of the pre-built configurations are fully customizable and provide a variety of solutions ranging from standard application stacks to middleware components to database solutions.

The Equinix partner program assembles Platform Equinix services with industry leading technology solutions into solution bundles that help simplify and accelerate complex global solution deployments.

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 and Equinix Partnership Delivers New Cloud Management Service

Equinix, a provider of global data center services, and RightScale, a provider of cloud computing management, announced a strategic global partnership to deliver a complete cloud solution to the corporate IT and service provider markets.

With this partnership, the RightScale Cloud Management Platform will provide Platform Equinix customers with a comprehensive management offering for all cloud infrastructure ― including public, private and multi-cloud/hybrid clouds — managed and controlled through a single cloud service.

As the result of this partnership, corporate IT organizations will be able to leverage RightScale and Platform Equinix to seamlessly manage workloads among private clouds and various public cloud providers. This allows global enterprises to access an unprecedented choice of cloud services in real-time through the RightScale management platform, ensuring high availability, business continuity and disaster recovery without compromising data security, compliance or risk mitigation.

Now IT teams can leverage the combination of their own corporate private cloud with a direct high-speed connection to public clouds already in an Equinix facility managed through a single dashboard with RightScale. This new cloud package provides customers with true workload deployment freedom by connecting their private cloud infrastructure directly to joint Equinix and RightScale public cloud partners such as Amazon Web Services (AWS), Rackspace, Logicworks, SoftLayer and Datapipe.

In addition, service providers who have invested in deploying assets in Platform Equinix to establish their cloud offerings will have the opportunity to partner with RightScale to enhance their services and participate in building out a network of clouds enabled by Platform Equinix. Service providers can offer their customers a state-of-the-art management platform that will allow them to deploy workloads on demand to various clouds based on their requirements, ensuring optimal end-user performance, minimizing delivery costs and accelerating time-to-market for new services.

Customers will access RightScale cloud management using RightScale myCloud, which provides a “single pane of glass” for enterprises to provision and manage servers in private clouds and multiple public clouds.

Customers will also benefit from the RightScale MultiCloud Marketplace which includes a library of pre-built cloud ServerTemplates, scripts and architectures published by RightScale, ISV and SI partners. All of the pre-built configurations are fully customizable and provide a variety of solutions ranging from standard application stacks to middleware components to database solutions.

The Equinix partner program assembles Platform Equinix services with industry leading technology solutions into solution bundles that help simplify and accelerate complex global solution deployments.

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 ...