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.

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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SVP Chief Product Officer, Verizon Business

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VP Products

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Blogs from the Kubernetes Current

Image for Auto-Scaling K8s Applications on Amazon EKS: 8 Best Practices and Tips

Auto-Scaling K8s Applications on Amazon EKS: 8 Best Practices and Tips

February 14, 2024 / by Anirban Chatterjee

Auto-scaling, a dynamic and intelligent approach to resource provisioning, is one of the defining features of Kubernetes. It allows applications to automatically adjust their capacity based on real-time metrics and policies, ensuring optimal performance and cost-effectiveness. Amazon EKS provides the… Read More

Image for Comparing Amazon EKS with Self-Managed Kubernetes

Comparing Amazon EKS with Self-Managed Kubernetes

January 26, 2024 / by Anirban Chatterjee

As businesses embrace the benefits of containerization, the choice of how to implement Kubernetes becomes increasingly critical. Two primary options are at the forefront of this decision-making process: Amazon Elastic Kubernetes Service (EKS) and self-managed Kubernetes clusters. Amazon EKS promises… Read More

Image for Your Guide to the Top Kubernetes Service Meshes

Your Guide to the Top Kubernetes Service Meshes

January 26, 2024 / by Sean Wilcox

As applications become more complex and distributed, managing the communication between various components becomes challenging. This is where Kubernetes service meshes come into play. In this guide, we’ll delve into the world of service meshes, explaining what they are and… Read More