Data visibility & proofs (how the community verifies you)
1. Metagraph / Explorer ( e.g., TaoStats ) shows the public truth:
Type (miner / validator), UID, Axon, Updated / Last block, stake, weights, incentive / emission.
Early stage miners often display 0 incentive, that’s normal until validators accumulate evidence and assign weight.
Operational models ( how miners are usually run )
Bare metal / Python, Docker, or Kubernetes ( GPU or CPU nodes ) are all common the choice affects reliability, rollout speed, and observability.
Typical production stacks add metrics ( Prometheus ), logs, health probes, autoscaling, and careful GPU driver / CUDA management.
Security & hygiene (conceptual best practices)
Keep coldkey offline only the hotkey lives on your servers.
Protect Axon ports (expose only what validators need).
Use reproducible builds and pin model / library versions to avoid silent regressions.
Treat logs carefully, avoid leaking prompts / data prefer anonymized metrics.