Database reliabilityIntermediate
Find database query regressions by release
Which database operations became slower or less reliable after a release?
Compare normalized query families across releases to find slower or newly failing operations.
The dataset and query remain in this browser.
Expected result
Average duration by query and release
billing_lookup
155 ms
155 ms
billing_lookup
300 ms
300 ms
select_order
133.3 ms
133.3 ms
select_order
633.3 ms
633.3 ms
update_account
87.5 ms
87.5 ms
update_account
140 ms
140 ms
| query_fingerprint | release | operations | average_duration_ms | failed_operations | error_rate_pct |
|---|---|---|---|---|---|
| billing_lookup | 2026.07.1 | 2 | 155 | 0 | 0 |
| billing_lookup | 2026.07.2 | 3 | 300 | 1 | 33.33 |
| select_order | 2026.07.1 | 3 | 133.3 | 0 | 0 |
| select_order | 2026.07.2 | 3 | 633.3 | 1 | 33.33 |
| update_account | 2026.07.1 | 2 | 87.5 | 0 | 0 |
| update_account | 2026.07.2 | 3 | 140 | 1 | 33.33 |
How to read the query
- Query fingerprints group equivalent statements without exposing literal values.
- Release-level aggregates separate application changes from one-off slow queries.
- Latency and error rate belong together: either can identify a harmful regression.
How to interpret the results
- 1Investigate fingerprints whose latency or error rate rises in the newest release.
- 2Correlate a regression with deployment and incident timelines before rollback.
- 3Create an alert only after choosing a volume floor that controls low-sample noise.
Related lessons
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