Question

Your team exports request latency from a Cloud Run service as a distribution (histogram) metric to Cloud Monitoring. The SLO states that 99% of requests must complete in under 400ms over a rolling 28-day window. During a review, a stakeholder asks how you can build a chart that shows the actual 99th-percentile latency trend so you can compare it against the 400ms threshold. Which approach correctly produces this on a Cloud Monitoring dashboard?

Accepted Answer

Chart the distribution metric using a 99th percentile aligner (ALIGN_PERCENTILE_99) so each aligned point represents the p99 latency across the alignment window.

Answer

Chart the distribution metric with an ALIGN_MEAN aligner and multiply the result by 0.99 to approximate the 99th-percentile value.

Answer

Convert the distribution to a log-based counter metric and use ALIGN_RATE to compute the percentage of requests under 400ms.

Answer

Chart the distribution metric with ALIGN_MAX so the highest latency bucket is always shown, which represents the worst-case 99th percentile.