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Observability

Signal Source Status
Machine health: online, CPU, RAM, disk, temperature where available Agent heartbeat Inventory and last-seen time recorded (built, ADR-0016); disk, temperature, and the dashboard planned (Phase 1–2)
NVIDIA GPU use and memory NVML, through the agent Planned
Apple GPU use and unified memory macOS IOKit, through the agent (no root needed) Planned (approach to validate)
Workload timeline Every state change and note with its reason; readable and exportable by the owner (logs and transparency) Built
Workload output logs The agent ships the driver’s stdout and stderr to the control plane, for the workload’s owner only Planned (Phase 1)
Control plane logs slog to stderr; EINSORA_LOG_LEVEL=debug for detail and EINSORA_LOG_FILE for a complete copy on disk; request_id on every request line Built
Alerts Dashboard notifications: machine offline, disk nearly full, workload failed Planned (Phase 2)
Prometheus /metrics on the control plane and agents, for people who already run Prometheus Planned (Phase 3)
Signal Tool Notes
Metrics kube-prometheus-stack (Prometheus, Alertmanager, Grafana) ServiceMonitors from every chart are picked up
GPU metrics NVIDIA DCGM exporter (through the GPU Operator) Container-mode nodes only; passthrough GPUs are invisible to the host
Logs Loki (single binary) + Grafana Alloy Pod logs labelled with namespace, pod, container, and tenant
Network flows Cilium Hubble Policy debugging and abuse detection
Hardware IPMI/BMC Exporter or SNMP

Each region runs its own stack, so logs stay in-region. A central Grafana can query every region read-only.

Alert Source Why
GPU XID errors DCGM XID 79 (the GPU fell off the bus) or 48 (double-bit ECC) means draining the node, and possibly an RMA
ECC double-bit errors, retired pages DCGM Hardware degradation
GPU temperature or power at its limit for 10 min or more DCGM, IPMI Cooling problems, common in hot climates and summer months
Node NotReady, or disk over 85% kube-state-metrics, node-exporter
Longhorn or Ceph degraded Their exporters Data at risk
Workloads stuck in provisioning, or queue depth growing Control plane /metrics (planned) Stuck admission or no capacity
Usage accounting lag (last closed hour not recorded after 30 min) Control plane /metrics (planned) Quotas and fair share depend on it
Fallback rate rising Control plane and gateway metrics (planned) A class is short of capacity
Inference gateway errors after failover Gateway metrics (planned) Endpoints failing beyond what fallbacks absorb
Certificate expiry within 14 days cert-manager
Postgres down or replication lag Postgres exporter

Workload logs are user data in every profile.

  • Visibility: only the workload’s owner sees them in the dashboard, CLI, and export (logs and transparency). Another tenant gets 404. In a datacenter, Loki access is limited to on-call staff for operational reasons, and audited. Retention is 14 days (loki.yaml).
  • Never collected: logs from inside VMs, and anything from guest workloads on community hosts beyond the driver’s own status lines.