Ankur Pandita

Rafay MCP Server Phase 2: From Visibility to Lifecycle Management

See how Rafay MCP Server Phase 2 expands from read-only visibility to governed lifecycle management, enabling AI clients to create, update, delete, and publish platform resources with RBAC and audit controls.

Bring Rafay Into Your AI Workflows with the Rafay MCP Server

The Rafay MCP Server brings secure, AI-assisted visibility to Kubernetes and platform operations, letting teams use natural language to inspect clusters, workloads, blueprints, and environments through MCP-compatible AI tools.

Kubernetes v1.36 for Rafay MKS

Support for Kubernetes v1.36 (codename Haru) is now available on the Rafay Operations Platform for MKS cluster types, covering both new cluster provisioning and in-place upgrades. Every Rafay platform feature has been validated on this release, and v1.36 clusters managed by Rafay are CNCF conformant.

No More SSH: Control Plane Overrides for Rafay MKS Clusters

Say goodbye to SSH access and manual cluster fixes. Learn how control plane overrides bring secure, centralized control to Kubernetes operations.

Accelerating the AI Factory: Rafay & NVIDIA NCX Infra Controller (NICo)

Learn how Rafay and NVIDIA NCX Infrastructure Controller (NICO) help enterprises operationalize AI factories—turning GPU infrastructure into scalable, self-service, and governed AI platforms.

Interact with Your Rafay Managed Kubernetes Clusters Using MCP-compatible AI clients

Learn how to securely enable AI assistants to interact with Rafay-managed Kubernetes clusters using MCP and Zero Trust Kubectl Access (ZTKA), ensuring RBAC enforcement, auditability, and zero exposed endpoints

Kubernetes v1.35 for Rafay MKS

Managing Environments at Scale with Fleet Plans

Kubernetes v1.34 for Rafay MKS

Users of the Rafay platform can provision new clusters based on Kubernetes v1.34 using the supported interfaces.

Dynamic Resource Allocation for GPU Allocation on Rafay's MKS (Kubernetes 1.34)

Upstream Kubernetes on RHEL 10 using Rafay