Finally, Kubernetes Automation for Everyone, Everywhere
The Kubernetes management solution within the Rafay Platform streamlines the automation of self-service provisioning for Kubernetes infrastructure, while assuring consistent standardization and governance.
Kubernetes Management with the Rafay Platform
As enterprises modernize their applications, they are quickly realizing the significant increase in the cost and resources required to manage Kubernetes clusters. The Rafay Platform's SaaS-first approach enables companies to gain efficiencies from Kubernetes almost immediately, thus speeding digital transformation initiatives while keeping operating costs low.
Built for Platform Teams
with benefits felt across the organization:
Autonomy to cloud users
Move fast and innovate when dependable, self-service access to Kubernetes resources is available to anyone who needs it for development or testing.
Control to platform engineers
Manage self-service workflows across a hybrid Kubernetes environment, ensuring that all compliance, security, and financial requirements are met.
Efficiency to operations
Increase service availability by automating Kubernetes management and standardizing configurations across all teams from a single console.
How the Rafay Platform's Kubernetes Management Works
The Rafay Platform's single SaaS-based* controller manages hundreds of Kubernetes clusters with ease, while allowing software-defined isolation across any department, business group, or geography. It drops seamlessly into existing environments, plugs into your existing Internal Developer Platforms, CI/CD and GitOps pipelines, and Infrastructure as Code repositories, and automates operations immediately to make Kubernetes workflows faster and more efficient.
* A self-hosted version is also available.
All Your Kubernetes Management & Operational Needs In a Single Solution
With Benefits Felt Across the Organization
For Developer Autonomy
- Use workflows with built-in automation and governance
- Provision rapidly with cluster or namespace as a service
- Monitor and troubleshoot Kubernetes infrastructure
For Control
- Standardize configs and add-ons across clusters and clouds
- Optimize costs and track chargebacks across teams
- Build an internal portal for developers and cloud users
For Efficiency
- Standardize configs and add-ons across clusters and clouds
- Optimize costs and track chargebacks across teams
- Build an internal portal for developers and cloud users
Our Kubernetes Management Platform’s Key Features
Multi-Cloud Cluster Lifecycle Management
Multi-Tenancy with Team Isolation
Add-on management with catalog & blueprints
Centralized Cluster & Network Policy Management
Integrated Monitoring & Troubleshooting
Integrated Backup & Restore
Use Case Example: Cluster Upgrade
Several times a year, when a cloud service provider updates their distribution of Kubernetes (for example, EKS, AKS, or GKE), IT organizations often scramble to identify the impacts to their operations as they plan their upgrade before their current version of K8s falls outside support. Here’s how that process works.
The Rafay Platform: Environment Management
Automatically provision templated, fully featured, policy compliant environments, with just one click, for developers, data scientists, researchers, and more.
The Rafay Platform Datasheet
Infrastructure orchestration for cloud and accelerated computing as a service, with guardrails included.
"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!
