Ready to Deploy

Multi-ClusterKubernetesOrchestration

Experience the future of cloud-native orchestration. KubeStellar revolutionizes multi-cluster management with AI-powered automation and real-time intelligence.

kubestellar-control-center
CONNECTED
$kubectl kubestellar deploy --multi-cluster --ai-optimized 
AIAnalyzing cluster topology and workload patterns...
INFODiscovered 8 clusters across 3 regions
OPTIMIZEAI optimizing resource allocation...
SUCCESSDeployment completed with 40% efficiency gain

0

x

Performance Boost

0

%

Uptime Guarantee

0

k+

Active Users

CLUSTER STATUS
US-East
EU-West
Asia-Pacific
PERFORMANCE
CPU67%
Memory43%
Network28%

What isKubeStellar

A multi-cluster Kubernetes orchestration platform that simplifies how you manage distributed workloads.

Single Control Plane

Manage multiple Kubernetes clusters from a unified control plane, eliminating the need to switch contexts and streamlining operations.

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Intelligent Workload Placement

Automatically distribute workloads based on cluster capabilities, availability, and custom constraints for optimal performance.

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Policy-Driven Management

Define policies for governance, security, and compliance across your entire Kubernetes estate with centralized enforcement.

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How It Works

KubeStellar orchestrates your multi-cluster environment with a simple,
powerful architecture

1Define Workloads

Create Kubernetes resource in the KubeStellar control plane using familiar tools and manifests. Tag resource with placement constraints and policies.

apiVersion: apps/v1
kind: Deployment
metadata:
 name: example-app
 annotations:
 kubestellar.io/placement: "region=us-east,tier=prod"

2Workload Orchestation

KubeStellar's orchestation engine analyzes workloads and determines optimal placement across registered clusters based on constraints and policies.

Policy Evaluation
Constraint Matching
Resource Analysis

3Automated Deployment

Workloads are automatically deployed to selected clusters KubeStellar continuously monitors health and ensures desired state across all clusters.

Edge Cluster
Cloud Cluster
On-Prem Cluster

Use Cases

Discover how organizations leverage KubeStellar for their multi-cluster needs.

Edge Computing

Deploy applications across edge locations with centralized management. Ideal for retail, manufacturing, and telecom with distributed infrastructure.

Multi-Region Compliance

Deploy applications with specific regional compliance requirements. Ensure data residency and regulatory compliance across global operations.

Hybrid/Multi-Cloud

Seamlessly manage workloads across multiple cloud providers and on-premises infrastructure with unified policies and consistent experience.

Disaster Recovery

Implement robust disaster recovery strategies with automatic workload replication and failover across multiple clusters in different regions.

Multi-Tenant Isolation

Create isolated environments for different teams or customers while maintaining centralized control. Ideal for SaaS providers and large enterprises.

Performance Optimization

Deploy workloads closest to users or data sources for optimal performance, reducing latency and improving user experience across global operations.

Ready to Get Started?

Join the growing community of KubeStellar users and contributors.

Quick Installation

Get up and running with KubeStellar in minutes using our simple installation guide.

kubectl apply -f https://github.com/kubestellar/kubestellar/releases/latest/download/install.yaml
View installation guide

Join the Community

Connect with other users, contributors, and maintainers through Slack, forums, and community calls.

Explore Documentation

Comprehensive guides, tutorials, and API references to help you master KubeStellar's capabilities.

Get in Touch

Have questions about KubeStellar? We're here to help!

Send us a message