Rafay is the Leading Rancher Alternative

Why Organizations Are Choosing Rafay over Rancher

Enterprises are consistently choosing Rafay over Rancher for Kubernetes Operations

Rafay is the leading Rancher alternative:

Switch to a Single Controller that Meets Enterprise HA Needs

With Rancher, customers need to bring in professional services to implement high-availability for Rancher controllers.

Provide business units and teams completely isolated operating environments without the installation, configuration and ongoing maintenance of dedicated controllers/servers. Simplify development and app modernization by consolidating management, monitoring, and tooling with Rafay.

Switch to Simplified Governance and Drift Detection/Remediation at Scale

With Rancher, customers need to manage policies for each cluster, leading to fleet-wide inconsistencies.

Reduce operational overhead and business risk ensuring your fleet of clusters is consistent and standardized through blueprints. Streamline provisioning and management by centralizing security policy and software add-on configurations via Git.

Switch to Centralized Auditing of Administrative and Kube API Activity across Your Fleet

With Rancher, customers end up implementing bespoke solutions and custom code for auditing.

Chronologically catalog activities with a centralized, immutable audit trail of all user actions including kubectl operations performed on clusters. Simplify documentation and history used to authenticate security and operational actions.

Switch to Using Every Single Feature In Your Favorite Managed Kubernetes Service

With Rancher, customers end up compromising on EKS/AKS features & capabilities.

Leverage Rafay’s comprehensive lifecycle management features for managed Kubernetes services delivered by public cloud providers such as Amazon EKS and Microsoft AKS, while benefiting from the 99.95% SLAs commitments from EKS and AKS.

Best-in-Class Customer Success with Kubernetes and Ecosystem Experts Available 24x7

With Rancher, customers face significant support challenges, resulting in project delays and unhappy internal users.

Stop struggling to find and retain the talent needed to manage Kubernetes clusters, ecosystem tooling and the underlying infrastructure. Leverage Team Rafay as an extension of your team; we are available 24×7, and have experience running Kubernetes at scale.

Frequently Asked Questions

What’s the difference between Rafay’s SaaS approach and Rancher’s hosted software solution?

Rafay’s SaaS solution is built with cloud infrastructure in mind which means that updates and maintenance are safer and easier to provide, time-to-market is shorter, TCO is lower, and governance and security of clusters and workflows are defined in the core application and easily applied across your entire fleet of Kubernetes clusters.

Rancher Says Rafay Isn’t Open-Source. Is this true?

Simply not true. Rafay has a CNCF sandbox project called Paralus. Paralus is a free, open-source tool that enables controlled, audited access to Kubernetes infrastructure. It comes with just-in-time service account creation and user-level credential management that integrates with your RBAC and SSO. Ships as a GUI, API, and CLI.

Why is running multiple Rancher servers a problem?

Each Rancher server will manage a set of resources, such as nodes, control plane components, and monitoring and logging. If you have several controllers, you have to manage available resources on each of your environments for these functions. This will create an inefficient resource usage and result in higher costs. Additionally, management of authentication, authorization, and upgrades will have to be performed per controller/cluster set that creates complexity and can allow for human error, vulnerabilities, and potential incompatibilities.

Top 6 Reasons Companies are Choosing Rafay over Rancher OSS

Six key technological and financial challenges that enterprises face on day 2 when adopting Rancher as their main Kubernetes operations platform and why many are switching to Rafay

Multi-Cluster Management Blogs from the Kubernetes Current

Image for GPU PaaS™ (Platform-as-a-Service) for AI Inference at the Edge: Revolutionizing Multi-Cluster Environments

GPU PaaS™ (Platform-as-a-Service) for AI Inference at the Edge: Revolutionizing Multi-Cluster Environments

April 19, 2025 / by Mohan Atreya

Enterprises are turning to AI/ML to solve new problems and simplify their operations, but running AI in the datacenter often compromises performance. Edge inference moves workloads closer to users, enabling low-latency experiences with fewer overheads, but it’s traditionally… Read More

Image for Democratizing GPU Access: How PaaS Self-Service Workflows Transform AI Development

Democratizing GPU Access: How PaaS Self-Service Workflows Transform AI Development

April 11, 2025 / by Gautam Chintapenta

A surprising pattern is emerging in enterprises today: End-users building AI applications have to wait months before they are granted access to multi-million dollar GPU infrastructure.  The problem is not a new one. IT processes in… Read More

Image for Rafay and Netris: Partnering to speed up consumption and monetization for GPU Clouds

Rafay and Netris: Partnering to speed up consumption and monetization for GPU Clouds

March 12, 2025 / by Haseeb Budhani

Rafay, a pioneer in delivering platform-as-a-service (PaaS) capabilities for self-service compute consumption, and Netris, a leader in networking Automation, Abstraction, and Multi-tenancy for AI & Cloud operators , are collaborating to help GPU Cloud Providers speed up consumption… Read More