BetishOpsQueue backlog
184records
Latest available observation; not a sum.
SMQ1 · details →Observation platform
Metrics that lead to answers.
Units, periods, trends and context. Every indicator should explain what it measures and lead back to its evidence.
Illustrative scenario · No customer data1 hour
2026-09-24 09:00 → 2026-09-24 10:00 UTC
Interrupted jobs
3jobs
Distinct jobs in the period.
SM37 · 3 jobs →CPU usage
87%
Latest valid sample.
ST06 · latest sample →Observed coverage
91.7%
Observed / expected intervals.
11 / 12 · intervals →How to read this scenario
Queue: 12 → 184 records in the illustrated observation window. CPU: 38% → 87% (+49 percentage points). Coverage: 11 of 12 planned observations.
Open the period’s data, method and evidence →Definition & purpose
Every measure has a question.
| Indicator | Definition | Operational question |
|---|---|---|
| Queue backlog | Number of pending records in the latest observation for the context. | Is the backlog growing or shrinking? |
| Oldest record age | Waiting time of the oldest observed record. | Is work remaining stalled? |
| Interrupted jobs | Count of jobs in the defined state within the period. | Is there a recurring pattern? |
| CPU | Percentage reported by the source; distinguish a sample from an average or peak. | Which resource change coincides with the event? |
| Coverage | Received observations relative to those expected for the interval. | Do we have enough information to compare? |
Zero does not mean no data.
Observed zero
A valid reading returned zero. It is not the same as a missing reading.
Partial coverage
Available data is useful, but it does not establish that the whole period was observed.
Older data
The latest valid observation remains identified by its time and revision.
A contextual threshold
A color guides attention; definition, scope and evidence explain the result.
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