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The earlier graph is now trimmed, showing just the series that matter.
Shoutout to Datadog's query engine team for enabling this kind of creative solution! 🙌
5/5
The earlier graph is now trimmed, showing just the series that matter.
Shoutout to Datadog's query engine team for enabling this kind of creative solution! 🙌
5/5
cockroachdb.sql.conn.latency * (cutoff_min(cockroachdb.sql.new_conns, 5) / cutoff_min(cockroachdb.sql.new_conns, 5))
When new_conns < 5, the series becomes null and nullifies the latency graph.
4/n
cockroachdb.sql.conn.latency * (cutoff_min(cockroachdb.sql.new_conns, 5) / cutoff_min(cockroachdb.sql.new_conns, 5))
When new_conns < 5, the series becomes null and nullifies the latency graph.
4/n
1. Use cutoff_min() on your modulating metric (the connection rate, in the example)
2. Multiply your target metric by modulating_metric/modulating_metric
This creates a 1 (keep) or null (filter) multiplier! 🪄
3/n
1. Use cutoff_min() on your modulating metric (the connection rate, in the example)
2. Multiply your target metric by modulating_metric/modulating_metric
This creates a 1 (keep) or null (filter) multiplier! 🪄
3/n
How do we monitor SQL connection latency, but ONLY when connection rates are high enough to be meaningful?
2/n
How do we monitor SQL connection latency, but ONLY when connection rates are high enough to be meaningful?
2/n
No need to select dimensions, no.
Deriving SLOs and metrics - yes, ish...
No need to select dimensions, no.
Deriving SLOs and metrics - yes, ish...
goodhang.org/p/scene-me-u...
goodhang.org/p/scene-me-u...