Rafay Documentation
Here you will find product documentation, API structure, Kubernetes insights and resources to help you get up to speed with all things in the Rafay Platform.
The Rafay Platform transforms static compute into governed, self-service platforms. Developers gain on-demand access to Kubernetes clusters, namespaces, and services. Data scientists instantly access notebooks, inference APIs, and GPU slices with compliance and cost controls built in.
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Product Documentation for the Rafay platform
Learn how to use the Rafay Platform and all feature details by perusing our product documentation
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Review API
All operations in the controller can be all managed through a set of HTTPs-based APIs.
Review the API
Rafay Terraform Provider
All operations in the controller can be managed through Rafay's Terraform Provider.
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Rafay "How To's"
Learn how to use Rafay to configure and deploy Nginx, Elasticsearch, and more
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Kubernetes Recipes
How-Tos for enabling the Kubernetes ecosystem including CI/CD, logging, monitoring, secrets management and more
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Release Notes
Rafay release notes provide information on the features, bug fixes and improvements in each release
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"With Rafay, we have complete peace of mind that our K8s clusters & apps are operating efficiently and securely."
Our focus on democratizing AI across India demands for us to move at lightning speed to deliver high-value data science experiences to developers. In working with NVIDIA and Rafay to deliver a PaaS for AI and GPU consumption, we are delivering the self-service experience developers and enterprises across India are looking for.
“We are able to deliver new, innovative products and services to the global market faster and manage them cost-effectively with Rafay.”
We are thrilled to have collaborated with NVIDIA and Rafay in evaluating, and defining requirements for, a Platform-as-a-Service layer for AI application consumption. As part of the Indosat group, Lintasarta is playing a crucial role in not only paving the way for us to become an AI-native TechCo, but is also playing a leadership role in the industry to help steer the AI revolution in the right direction.
“One single tool, one single process, one single knowledge base helps us achieve efficiency. Less chaos, less complexity.”
Our work with Rafay in publishing the Platform-as-a-Service (PaaS) reference architecture gives enterprises, NVIDIA Cloud Partners (NCPs) and other GPU Cloud providers a path to delivering accelerated computing infrastructure, along with AI applications, in days. With the AI market moving so fast, time-to-market is key, and the Rafay Platform is a powerful enabler for NVIDIA customers looking to move fast.
"Rafay has streamlined the management and operations of 100+ Amazon EKS clusters while helping us enable developer self-service."
"Choose packaged software distributions or cloud-managed services for production deployments that integrate different technology components, simplify life cycle management of that stack and provide multi-cloud management rather than a DIY approach."
"Rafay’s thought leadership and white glove support has been fantastic."
"The big draw was that you could centralize the lifecycle management & operations."
“Rafay was up and running quickly, easy to use, and allowed us to deploy & manage standardized clusters anywhere."
"Easily operate and rapidly deploy applications anywhere across multi-cloud and edge environments."
"Rafay stood out from the crowd with their deep integration with Amazon EKS."
"Rafay’s unified view for Kubernetes Operations & deep DevOps expertise has allowed us to significantly increase development velocity."
Try the Rafay Platform for Free
See for yourself how to turn static compute into self-service engines. Deploy AI and cloud-native applications faster, reduce security & operational risk, and control the total cost of Kubernetes operations by trying the Rafay Platform!
