Kedge deployment strategy spans consumer browser applications to enterprise Kubernetes clusters maintaining unified reasoning quality across environments.
Consumer deployment: WebAssembly module 12MB serving browser-native inference. Service Worker caching achieves 2.1s cold-start. Progressive enhancement loads full capabilities over 4G.
Enterprise deployment: Kubernetes-native with Horizontal Pod Autoscaler. Deployment yaml specifies resource limits guaranteeing 28ms p99 per pod. Istio service mesh handles cross-cluster stream routing.
Hybrid deployment: Edge inference with cloud fallback. Local reasoning handles 84% queries offline; cloud escalation maintains session continuity through serialized VectorPool state.
Configuration management: Single yaml manifest configures consumer/enterprise/hybrid profiles. Safety parameters, latency budgets, agent weights standardized across deployments.
Observability stack: OpenTelemetry integration exposing 47 stream metrics. Grafana dashboards deployed alongside inference clusters monitoring p99 latency and coherence drift.
Zero-downtime upgrades through canary deployments with automated rollback on latency regression or safety violations.