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."
The Latest
As discussions around AI "autonomous coworkers" accelerate, many industry projections assume that agents will soon operate alongside human staff in making decisions, taking actions, and managing tasks with minimal oversight. But a growing number of critics (including some of the developers building these systems) argue that the industry still has a long way to go to be able to treat AI agents like fully trusted teammates ...
Enterprise AI has entered a transformational phase where, according to Digitate's recently released survey, Agentic AI and the Future of Enterprise IT, companies are moving beyond traditional automation toward Agentic AI systems designed to reason, adapt, and collaborate alongside human teams ...
The numbers back this urgency up. A recent Zapier survey shows that 92% of enterprises now treat AI as a top priority. Leaders want it, and teams are clamoring for it. But if you look closer at the operations of these companies, you see a different picture. The rollout is slow. The results are often delayed. There's a disconnect between what leaders want and what their technical infrastructure can handle ...
Kyndryl's 2025 Readiness Report revealed that 61% of global business and technology leaders report increasing pressure from boards and regulators to prove AI's ROI. As the technology evolves and expectations continue to rise, leaders are compelled to generate and prove impact before scaling further. This will lead to a decisive turning point in 2026 ...
Cloudflare's disruption illustrates how quickly a single provider's issue cascades into widespread exposure. Many organizations don't fully realize how tightly their systems are coupled to third party services, or how quickly availability and security concerns align when those services falter ... You can't avoid these dependencies, but you can understand them ...
If you work with AI, you know this story. A model performs during testing, looks great in early reviews, works perfectly in production and then slowly loses relevance after operating for a while. Everything on the surface looks perfect — pipelines are running, predictions or recommendations are error-free, data quality checks show green; yet outcomes don't meet the ground reality. This pattern often repeats across enterprise AI programs. Take for example, a mid-sized retail banking and wealth-management firm with heavy investments in AI-powered risk analytics, fraud detection and personalized credit-decisioning systems. The model worked well for a while, but transactions increased, so did false positives by 18% ...
Basic uptime is no longer the gold standard. By 2026, network monitoring must do more than report status, it must explain performance in a hybrid-first world. Networks are no longer just static support systems; they are agile, distributed architectures that sit at the very heart of the customer experience and the business outcomes ... The following five trends represent the new standard for network health, providing a blueprint for teams to move from reactive troubleshooting to a proactive, integrated future ...
APMdigest's Predictions Series concludes with 2026 AI Predictions — industry experts offer predictions on how AI and related technologies will evolve and impact business in 2026. Part 5, the final installment, covers AI's impacts on IT teams ...
APMdigest's Predictions Series concludes with 2026 AI Predictions — industry experts offer predictions on how AI and related technologies will evolve and impact business in 2026. Part 4 covers negative impacts of AI ...
APMdigest's Predictions Series concludes with 2026 AI Predictions — industry experts offer predictions on how AI and related technologies will evolve and impact business in 2026. Part 3 covers barriers and challenges for AI ...