Blueprints & Drift Detection

Standardize, Curate and Enforce Cluster Configs Across Your Fleet

Centralize configurations for cluster standardization encompassing software add-ons and governance policies while ensuring continuous reconciliation with drift detection across dev, QA, and production environments.

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Standardize Deployment of Clusters and Kubernetes Software Addons Required by Your Enterprise

With Rafay, platform teams can ensure that clusters are in always in compliance with internal policies and regulatory requirements

Ensure that clusters are configured with a set of baseline components and policies across environments and clouds

Create, share and mandate pre-configured templates that enable consistency and ease of deployment

Implement drift detection and reconciliation based on version controlled Blueprints to eliminate out of band changes

Standardize Cluster Configurations

Ensure consistency of clusters by allowing your developers to select from a set of preapproved cluster configurations. Once a custom Cluster Blueprint has been created, it can be used during initial provisioning or applied to existing clusters in a declarative way using GitOps. Blueprints can be created centrally and shared across projects ensuring the entire enterprise—across departments and across the globe—is using standardized clusters.

Golden Blueprints

Eliminate repetitive configuration changes by sharing a baseline of addons and policies that allow for customizations by internal teams without compromising security or governance.

Prevent Drift from Desired State

Implement drift detection and automate reconciliation to block unintended configuration changes without relying on having to implement bespoke monitoring systems.

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The Definitive Guide to Kubernetes Automation and Governance for Platform Teams

Leverage this Guide to Maximize your Kubernetes Investments

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Aamir Hussain

SVP Chief Product Officer, Verizon Business

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Jayant Thakre

VP Products

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Kumud Kalia

CIO

Blogs from the Kubernetes Current

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

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

Is Fine-Tuning or Prompt Engineering the Right Approach for AI?

March 6, 2025 / by Rajat Tiwari

While prompt engineering is a quick and cost-effective solution for general tasks, fine-tuning enables superior AI performance on proprietary data. We previously discussed how building a RAG-based chatbot for enterprise data paved the way for creating a… Read More

A couple of hours is all it takes to launch a GPU Cloud