trace sampling by risk tier improves audit signal density

Teams are prioritizing full-fidelity traces for high-risk workflows while downsampling low-risk traffic to keep audit value high without overwhelming storage budgets (OpenTelemetry sampling).

see also: trace linked eval stores improve incident root cause speed · agent governance dashboards become executive weekly ritual

architecture move

Sampling policies now reference risk class, entitlement scope, and policy change windows.

operations signal

• Audit investigations get richer high-value evidence.
• Monitoring cost growth becomes more predictable.
• Misclassified risk tiers can hide important anomalies.

my take

Risk-aware sampling is a practical observability upgrade for governed AI systems.

linkage

• [[trace linked eval stores improve incident root cause speed]]
• [[agent governance dashboards become executive weekly ritual]]
• [[context attestation headers improve downstream audit joins]]

ending questions

which workflow should always remain unsampled despite cost pressure?