Built from cloud primitives,
not retrofitted onto them.
Less ops. More elasticity. Lower spend at idle. Managed services do the boring work, autoscaling absorbs the spikes, and cost tracks the requests you actually served — not the peak you sized for two years ago. The GIS stack stops needing its own ops queue.
What Honua composes from.
Each layer is a cloud primitive your platform team already operates — named in your IaC, billed on your existing cloud account, governed by your existing identity provider.
Honua ships as OCI containers. Run them on the orchestrator your platform team already operates — EKS, AKS, ECS / Fargate, plain K8s, or local Docker.
Per-request paths — feature queries, tile renders, image fetches, MCP tool calls — deploy as functions that warm on demand.
Long-running and bursty work runs on managed batch — GP / ETL pipelines, tile baking, raster reprojection, parity diffs, migration imports.
Workloads scale out with load and hibernate when idle. No peak-sized capacity, no reserved server pool — cost tracks actual traffic.
Versioned, immutable, range-fetchable blobs as the source of truth — for features, rasters, tiles, styles, and migration artifacts.
OIDC-first. Map your IdP's groups to Honua roles — then every API call, agent action, and AI DevOps PR runs under the same identity, in the same audit log.