Kubernetes Management Cloud for Edge

Easily Deploy & Manage Fleets of Kubernetes Clusters At the Edge

The Kubernetes Management Cloud for Edge is a complete edge computing solution combining a lightweight upstream K8s tuned for the edge with cloud-based centralized management to easily deploy & manage the lifecycle of thousands of edge clusters

SaaS-First Approach

Be up and running within minutes, not months. Realize all the benefits that the cloud has to offer including instant fleet scalability, automatic updates and the lowest TCO for Kubernetes management for the edge.

Zero-Trust K8s Architecture

Zero-trust security has been baked into the KMC for Edge architecture for cluster provisioning, lifecycle management, workload deployment, centralized remote access to k8s and OS. Only outbound port 443 from the cluster to the controller is needed. Thus, Rafay eliminates the need to punch holes in 100s or 1000s of network firewalls, dramatically simplifying networking and operations.

Edge Scalability & Fleet Management

Managing clusters one by one is impossible for the edge. With the KMC for Edge, you can centrally manage your remote fleet collectively. Create, deploy, operate, monitor, upgrade and retire 1 or 1000+ clusters just as easily across your entire edge infrastructure and IoT devices.

True Multi-Tenancy

For service providers managing Kubernetes clusters at the Edge for multiple, Rafay delivers the only multi-organization tenancy model in the market; manage all your customers via a single cloud-native controller that can scale with your business. Manage multiple tenants or organizations providing isolation across customers.

World-class Services & Support

Partner with Rafay’s deep bench of certified Kubernetes-at-the-edge experts to jump-start & customize your Kubernetes journey.

Cluster Deployment & Management Designed Specifically for the Edge

Rafay delivers a production-ready Kubernetes management platform that streamlines deployment and ongoing operations for edge use cases

Centralized Multi-Cluster Management

Deploy, manage and upgrade your globally deployed fleet of edge Kubernetes clusters from a single cloud platform.

Assembly Line Provisioning Option

Use pre-packaged QCOW and OVA images bundled with the OS, Kubernetes and management components to dramatically streamline and automate production grade, edge cluster provisioning.

Automated Lifecycle Management

Quickly provision and start using CNCF-compliant Kubernetes clusters in your edge environment. Cluster updates and upgrades are seamless with no downtime.

MKSe Lightweight Distro

CNCF compliant k8s and k3s based distributions that are heavily optimized for small footprint environments.

Role-Based Access Control, MFA & SSO

To govern access and enable separation of duties, KMC for Edge provides a seamless integration with enterprise-class Identity Providers (IdPs) such as Okta, Ping One and AzureAD. Implement separation of duties between infrastructure and application teams and hard isolation boundaries using RBAC and RBAC-enabled Projects.

Zero-Trust Kubectl Access

Empower operations and development teams to easily access clusters via a zero-trust kubectl without requiring inbound access to the fleet of edge clusters. Comply with regulatory and governance requirements -- enforced via easy RBAC configuration with an end-to-end audit trail.

Standardize Edge Clusters & Workflows

Create and easily apply edge-optimized cluster blueprints so it’s easy to standardize your Kubernetes clusters deployed across your fleet of edge clusters.

Integrate & Automate

Comprehensive automation can be quickly developed by using either our Command Line Interface (RCTL) utility or REST APIs

Policy based Application Deployments

Configure and deploy containerized applications to a fleet of edge k8s clusters using high level “location” and “label” based deployment policies.

Deployment Automation

Deploy applications to 1000s of edge clusters in seconds without having to write a single line of code/script with an integrated GitOps pipeline. Configure and operate highly-automated, multi-stage deployment pipelines to manage the lifecycle of edge applications.

Centralized Visibility & Monitoring

Rafay provides turnkey, centralized visibility, monitoring, alerting and notifications spanning the entire fleet of managed clusters.

Fast Time to Market & Low TCO

Be managing a fleet of edge clusters in days instead of months. Maintain all edge clusters with little to no additional staffing.

The KMC for Edge Powers Multiple "Cutting-Edge" Use Cases

Take advantage of 5G, IoT and AI technologies within days, not months

K8s at the 5G/Network Edge

The advent of 5G is giving birth to a new class of high-value applications to deliver improved user experiences and business workflows closer to end-users and endpoints. Rafay’s Kubernetes Management Cloud for the Edge simplifies the deployment, orchestration, and ongoing operations of containerized microservices across thousands of Kubernetes clusters at the edge.

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K8s at the On-Premise Edge

Enterprises focused on delivering better customer experiences (contactless payments, contextual catalogs, etc.) are investing in the deployment of modern applications in retail environments and in healthcare facilities. Manufacturing and industrial businesses are also exploring ways to operate applications within manufacturing facilities to identify defects faster or process alarms in-region. Rafay’s KMC for Edge simplifies the deployment, orchestration, and ongoing operations of thousands of on-premises clusters while making it easy for developers to deploy containerized microservices across thousands of Kubernetes clusters with a single API.

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Enabling Edge AI/ML At Scale

With many verticals having experienced the value of AI/ML, companies are taking steps to leverage machine learning models even faster. There is a clear trend across industries of companies exploring ways to continuously train models in the cloud while implementing inference analysis at the Edge. Be it in a modern factory where defects are being found faster via on-site inference, or a streaming media company delivering a customized experience to a user based on a variety of user and environmental stimuli, AI/ML at the Edge is one of the most important use cases to emerge from the Edge Computing space. Rafay’s KMC for Edge makes it simple for companies to deploy updated models to thousands of edge clusters.

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"Easily and rapidly deploy applications anywhere across multi-cloud and edge environments."

Aamir Hussain

SVP Chief Product Officer, Verizon Business

"Rafay stood out from the crowd with their deep integration with Amazon EKS."

Jayant Thakre

VP Products

"The big draw was that you could centralize the deployment and lifecycle management."

Beth Cohen

Cloud Technology Strategist, Verizon Business

"Rafay’s unified view for Kubernetes Management & deep DevOps expertise has allowed us to significantly increase development velocity."

Alec Rooney


Verizon Case Study

Verizon Chooses Rafay to Power Application Edge Managed K8s Service

Learn how Verizon created a new offering and revenue stream with Rafay