Deploy K8s at Edge PoPs.
Run Kubernetes workloads at 200+ edge points-of-presence worldwide. Sub-5ms latency to end users with the same kubectl workflow you already know.
200+
PoPs
< 5 ms
Latency
K3s
Orchestration
GitOps
Sync
Kubernetes at 200+ locations.
Same kubectl workflow, different latency profile.
200+ edge locations
Deploy containers to edge PoPs in every major metro. Same kubectl, same YAML, different latency.
Sub-5ms to users
Serve content and APIs from the closest edge location. Dynamic routing based on user geography.
K3s at the edge
Lightweight Kubernetes at each edge node. Full K8s API compatibility with minimal resource footprint.
Central management
Fleet-level management from a single control plane. Push deployments to all or selected edge locations.
Edge-to-cloud bridge
Seamless networking between edge workloads and regional cloud services. Private connectivity.
Automatic failover
If an edge location goes down, traffic automatically routes to the nearest healthy edge.
Getting started
Launch your first instance in three steps. CLI, console, or API — your choice.
ur edge fleet create my-edge \
--locations=us-*,eu-* \
--node-size=smallEdge-native workloads.
APIs, personalization, and IoT — closer to your users.
Suggested configuration
200 PoPs · K3s · Geo-route
Estimate your costs
Create detailed configurations to see exactly how much your architecture will cost. Pay for what you use, down to the second.
Configuration 1
Platform & Architecture
Edge Resources
Storage
Cost Optimization
Cost details
Run containers on edge nodes near users.
Works seamlessly with
Frequently asked questions
Kubernetes at the edge.
Deploy to 200+ locations with the same kubectl workflow. Sub-5ms latency.