Trusted by leading companies

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Equinix
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Architects and Platform Teams at Leading Companies Use Rafay's PaaS for Modern Infrastructure and AI

As a result they focus 100% on innovation and 0% on modern infrastructure

Move fast and innovate

when dependable, self-service access to cloud resources is available to anyone who needs it for development or testing.

Manage self-service workflows

across any public or private cloud environment, ensuring that all compliance, security, and financial requirements are met.

Increase efficiency

across CPU- and GPU-based workloads with standardized configs and management workflows across all teams from a single console.

Recognized by Industry Experts

“Platform engineering teams, cloud architects and I&O leaders can benefit from Rafay’s centralized automation and governance of Kubernetes clusters.”

Dennis Smith, Arun Chandrasekaran, Tony Iams
Gartner

“[Rafay] is a robust and secure option for large-scale management of Kubernetes clusters.”

Justin Warren
GigoOm

Built for Platform Teams

Every modernizing enterprise has complicated cloud infrastructure, and they’re building automation to hide its complexity from its users. But they shouldn’t have to.

Rafay bridges the complexity gap and automates self-service cloud infrastructure workflows, so your business can focus on rapid innovation rather than cloud management. Our solution allows platform teams to enable developers and cloud users who depend on rapid access to infrastructure to move faster safely.

Benefits Realized Across the Organization

63%
lower cloud costs
4x
more frequent deployments
76%
lower MTTR
Download the White Paper
Simplifying Amazon EKS Deployments & Operation

Learn how to accelerate Kubernetes & streamline Amazon EKS

"Easily operate and rapidly deploy applications anywhere across multi-cloud and edge environments."

Aamir Hussain

SVP Chief Product Officer, Verizon Business

"Rafay stood out from the crowd with their deep integration with Amazon EKS."

Jayant Thakre

VP Products

"The big draw was that you could centralize the lifecycle management & operations."

Beth Cohen

Cloud Technology Strategist, Verizon Business

“Rafay was up and running quickly, easy to use, and allowed us to deploy & manage standardized clusters anywhere."

Greg Saunders

Director of Cloud Engineering

“We are able to deliver new, innovative products and services to the global market faster and manage them cost-effectively with Rafay.”

Joe Vaughan

Chief Technology Officer

"Rafay’s thought leadership and white glove support has been fantastic."

Kumud Kalia

CIO

“One single tool, one single process, one single knowledge base helps us achieve efficiency. Less chaos, less complexity.”

Rakesh Singh

Senior Director, Cloud & DevOps

"Rafay has streamlined the management and operations of 100+ Amazon EKS clusters while helping us enable developer self-service."

Sharmila Ramar

Global Head of Cloud , Devops & Data Management

Proud Member of the Kubernetes Community

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Rafay is a proud member of the CNCF and a Certified Kubernetes Service Provider. Our customers can leverage our Certified Kubernetes distribution and work hand-in-hand with our team of Certified Kubernetes Admins (CKAs).

 

Our Commitment to Open Source

Recent Posts from The Kubernetes Current Blog

Image for Optimizing AI Workloads for Multi-Cloud Environments with Rafay and GPU PaaS

Optimizing AI Workloads for Multi-Cloud Environments with Rafay and GPU PaaS

November 27, 2024 / by Mohan Atreya

Rafay’s platform enables you build a GPU PaaS for AI workloads so you can confidently operate machine learning models, generative AI, and neural networks at scale. It orchestrates your hybrid and multi-cloud computing resources, improves operational flexibility, and… Read More

Image for Operationalizing AI: Solutions to Machine Learning Workflow Automation Challenges

Operationalizing AI: Solutions to Machine Learning Workflow Automation Challenges

November 15, 2024 / by Mohan Atreya

Machine learning (ML) has emerged as a transformative force, enabling organizations to derive critical insights, enhance customer experiences, and make data-driven predictions. However, operationalizing machine learning workflows presents significant challenges, especially for enterprises with complex, cloud-based infrastructures. Machine… Read More

Image for Achieving Optimal AI Performance with Tuning-as-a-Service

Achieving Optimal AI Performance with Tuning-as-a-Service

November 12, 2024 / by Mohan Atreya

Tuning-as-a-Service (another TaaS but not to be confused with Training-as-a-service) is a cloud-based solution that optimizes AI models by automating the adjustment of hyperparameters to enhance model accuracy, efficiency, and overall performance. By leveraging advanced algorithms and scalable… Read More