Case studies.
How teams use Hives in production. Real challenges, real architectures, real outcomes.
Explore the details
Look at what changes in the architecture.
Move the comparison divider to inspect two illustrative deployment approaches. This is a conceptual comparison, not a customer's measured before-and-after result.
Architecture comparison
Individually configured services
ApplicationVM + config
WorkerVM + config
Explicit component bundle
app.wasmOne manifest
worker.wasmNamed bindings
The divider reveals a different ownership and packaging model; it does not encode a performance improvement.
Compare the structure
Ask what became explicit.
Runtime artifacts, configuration, and resource bindings are separate things to inspect.
Explore the Lumeo storyAll studies
Autonomous agent fleetLumeo50+ autonomous agents managing infrastructure, monitoring, and incident response across 15 regions.1,000 deploys/dayReal-time patient data pipelineVertex HealthHIPAA-compliant data processing at the edge. Sub-millisecond cold starts for critical health telemetry.50ms p99 latencyPayment processing workersNovaPayEdge-deployed payment authorization with cryptographic isolation and per-tenant sandboxing.99.999% uptimeML inference orchestrationArchon LabsModel serving with auto-scaling WASM workers. Replaced Kubernetes with Hives for inference workloads.3x cost reduction