Build Self-Service Automation
for Cloud Environments and Kubernetes

Platform teams use Rafay to build automated workflows for developers and data scientists, with guardrails included.

Trusted by leading companies

Cloud Automation for Platform Ops, Developers, Data Scientists

and everyone else that depends on rapid access to cloud 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 a hybrid cloud environment, ensuring that all compliance, security, and financial requirements are met.

Increase service availability

by automating cloud management processes and standardizing configurations across all teams from a single console.

Begin Your AI Journey Here

With Rafay, you get one unified platform to provide self-service AI infrastructure to your developers and data scientists, while easily managing the ongoing operations of your AI/ML applications

JUMPSTART YOUR AI INITIATIVES

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

more frequent deployments

76%

lower MTTR

Self-Service Cloud Automation

Automated self-service workflows give teams within organizations the autonomy to move at the speed of modern business. But modern clouds are more complicated, leading to bespoke solutions that waste time, cost, and resources, and introduce risk.
This is why platform teams at MoneyGram, Guardant Health, and Verizon use the Rafay Cloud Automation Platform to deliver Autonomy to cloud users (developers, data scientists, researchers, and more) while maintaining Control and Efficiency over cloud operations.

Learn More

Rafay automates self-service cloud infrastructure in two key areas:

Rafay Environment Manager

Automatically provision templated, fully featured, policy compliant environments, with just one click, for developers, data scientists, researchers, and more.

Learn more

Rafay Kubernetes Manager

Streamline automation of self-service provisioning for Kubernetes infrastructure, while assuring consistent standardization and governance.

Learn more

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

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

Mastering Kubernetes Namespaces: Advanced Isolation, Resource Management, and Multi-Tenancy Strategies

May 1, 2024 / by Anirban Chatterjee

Kubernetes namespaces let you separate logical groups of resources within a single Kubernetes cluster. They’re used to share clusters between different apps and provide platform teams with many benefits including improved operating efficiency, less cluster sprawl, and reduced infrastructure spending—a… Read More

Demystifying Kubernetes Cloud Cost Management: Strategies for Visibility, Allocation, and Optimization

May 1, 2024 / by Sean Wilcox

Kubernetes cloud cost management is the process of tracking, attributing, and reducing the expenses associated with running clusters in the cloud. Although Kubernetes can improve DevOps operational efficiency, it’s often challenging to control costs across multiple apps and teams. Using… Read More

How Rafay Helps Sovereign & GPU Cloud Companies Accelerate Time to Market

April 2, 2024 / by Haseeb Budhani

The Generative AI (GenAI) gold rush is in full swing, and a new use case is fast emerging globally: Sovereign Clouds for AI workloads, a.k.a. GPU Clouds. Why are GPU Clouds being born? It’s the data. The most curated and… Read More

Streamline AI/ML Adoption: Expert Strategies to Conquer IT Hurdles and Accelerate Growth.

Build Self-Service Automation
for Cloud Environments and Kubernetes

Trusted by leading companies

Cloud Automation for Platform Ops, Developers, Data Scientists

and everyone else that depends on rapid access to cloud infrastructure