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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SVP Chief Product Officer, Verizon Business

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VP Products

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CIO

Blogs from the Kubernetes Current

Powering GPU Cloud Billing: Rafay + Monetize360 Integration

June 16, 2025 / by Mohan Atreya

In the fast-evolving world of GPU cloud services and AI infrastructure, accurate, flexible, and real-time billing is no longer optional — it’s mission critical. That’s why Rafay has partnered with Monetize360 to deliver an end-to-end pricing, billing, and revenue management… Read More

Choosing the Right Fractional GPU Strategy for Cloud Providers

July 14, 2025 / by Mohan Atreya

As demand for GPU-accelerated workloads soars across industries, cloud providers are under increasing pressure to offer flexible, cost-efficient, and isolated access to GPUs. While full GPU allocation remains the norm, it often leads to resource waste—especially for lightweight or intermittent… Read More

Demystifying Fractional GPUs in Kubernetes: MIG, Time Slicing, and Custom Schedulers

July 11, 2025 / by Mohan Atreya

As GPU acceleration becomes central to modern AI/ML workloads, Kubernetes has emerged as the orchestration platform of choice. However, allocating full GPUs for many real-world workloads is an overkill resulting in under utilization and soaring costs. Enter the need for fractional… Read More

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