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RightScale to Resell Google Compute Engine

RightScale announced it is the first partner to resell Google Compute Engine.

RightScale integration of its cloud management platform with Google Compute Engine provides customers with comprehensive management and automation for the Google Infrastructure-as-a-Service cloud.

As a Google strategic partner and reseller, RightScale will also offer tailored onboarding packages through its professional services organization and world-class support for customers.

RightScale is now the first Google reseller to provide a streamlined and fully supported path for users wanting to trial and purchase Google Compute Engine. When developers and organizations choose to deploy their workloads on Google Compute Engine, the RightScale cloud management platform creates efficient, automated provisioning and operations.

Using RightScale, customers can automate and customize the build-up, operation, and break-down of many types of workloads, from on-demand data analysis clusters, to batch processing, to 3-tier web apps built to specific customer requirements. With this announcement, customers will be able to purchase Google Compute Engine services directly from RightScale and leverage on-boarding and support services from RightScale’s professional services team.

RightScale and Google will also offer custom solutions created for industry verticals, including Advertising, Media, Entertainment and Gaming. The industry specific solutions will provide speed to market, scalability and consistent performance — critical for the global applications deployed by those verticals.

"RightScale is the leader in cloud management with deep expertise helping customers take full advantage of the cloud. They allow organizations to start quickly and provides them a path to accelerate their cloud projects by streamlining ongoing operations," said Dan Powers, Director Cloud Platform Sales & GTM, Google. "RightScale is an important partner in helping customers leverage the agility and power of Google Compute Engine."

"Google is poised to be a dominant player in Infrastructure-as-a-Service, particularly where Internet-scale, reliability and dynamic resources are required," said Thorsten von Eicken, CTO of RightScale. "Our own internal tests and early response from our beta customers demonstrate that Google Compute Engine has a remarkably consistent performance level. The combination of our cloud management technology, support and professional services with Google Compute Engine creates the positive experience and quality of service that meets the high standards for which RightScale is known."

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RightScale to Resell Google Compute Engine

RightScale announced it is the first partner to resell Google Compute Engine.

RightScale integration of its cloud management platform with Google Compute Engine provides customers with comprehensive management and automation for the Google Infrastructure-as-a-Service cloud.

As a Google strategic partner and reseller, RightScale will also offer tailored onboarding packages through its professional services organization and world-class support for customers.

RightScale is now the first Google reseller to provide a streamlined and fully supported path for users wanting to trial and purchase Google Compute Engine. When developers and organizations choose to deploy their workloads on Google Compute Engine, the RightScale cloud management platform creates efficient, automated provisioning and operations.

Using RightScale, customers can automate and customize the build-up, operation, and break-down of many types of workloads, from on-demand data analysis clusters, to batch processing, to 3-tier web apps built to specific customer requirements. With this announcement, customers will be able to purchase Google Compute Engine services directly from RightScale and leverage on-boarding and support services from RightScale’s professional services team.

RightScale and Google will also offer custom solutions created for industry verticals, including Advertising, Media, Entertainment and Gaming. The industry specific solutions will provide speed to market, scalability and consistent performance — critical for the global applications deployed by those verticals.

"RightScale is the leader in cloud management with deep expertise helping customers take full advantage of the cloud. They allow organizations to start quickly and provides them a path to accelerate their cloud projects by streamlining ongoing operations," said Dan Powers, Director Cloud Platform Sales & GTM, Google. "RightScale is an important partner in helping customers leverage the agility and power of Google Compute Engine."

"Google is poised to be a dominant player in Infrastructure-as-a-Service, particularly where Internet-scale, reliability and dynamic resources are required," said Thorsten von Eicken, CTO of RightScale. "Our own internal tests and early response from our beta customers demonstrate that Google Compute Engine has a remarkably consistent performance level. The combination of our cloud management technology, support and professional services with Google Compute Engine creates the positive experience and quality of service that meets the high standards for which RightScale is known."

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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 ...

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 ...