Experience the future of cloud-native orchestration. KubeStellar revolutionizes multi-cluster management with AI-powered automation and real-time intelligence.
0
xPerformance Boost
0
%Uptime Guarantee
0
k+Active Users
A multi-cluster Kubernetes orchestration platform that simplifies how you manage distributed workloads.
Manage multiple Kubernetes clusters from a unified control plane, eliminating the need to switch contexts and streamlining operations.
Automatically distribute workloads based on cluster capabilities, availability, and custom constraints for optimal performance.
Define policies for governance, security, and compliance across your entire Kubernetes estate with centralized enforcement.
KubeStellar orchestrates your multi-cluster environment with a simple, powerful architecture.
Create Kubernetes resources in the KubeStellar control plane using familiar tools and manifests. Tag resources with placement constraints and policies.
apiVersion: apps/v1
kind: Deployment
metadata:
name: example-app
annotations:
kubestellar.io/placement: "region=us-east,tier=prod"
KubeStellar's orchestration engine analyzes your workloads and determines optimal placement across registered clusters based on constraints and policies.
Workloads are automatically deployed to the selected clusters. KubeStellar continuously monitors health and ensures desired state across all clusters.
Discover how organizations leverage KubeStellar for their multi-cluster needs.
Deploy applications across edge locations with centralized management. Ideal for retail, manufacturing, and telecom with distributed infrastructure.
Deploy applications with specific regional compliance requirements. Ensure data residency and regulatory compliance across global operations.
Seamlessly manage workloads across multiple cloud providers and on-premises infrastructure with unified policies and consistent experiences.
Implement robust disaster recovery strategies with automatic workload replication and failover across multiple clusters in different regions.
Create isolated environments for different teams or customers while maintaining centralized control, ideal for SaaS providers and large enterprises.
Deploy workloads closest to users or data sources for optimal performance, reducing latency and improving user experience across global operations.
Join the growing community of KubeStellar users and contributors.
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
Comprehensive guides, tutorials, and API references to help you master KubeStellar's capabilities.