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Quiz Entry - updated: 2026.09.24

Jaeger's Monitor tab ranks a service's operations by "Impact". Why can an operation with a p95 of 2.35 s rank low while one with 1.39 s ranks highest?

Because impact combines latency with request rate: a slow operation that runs rarely costs users less total waiting time than a moderately slow one that runs constantly.

Operations plotted by request rate and p95 latency with lines of equal impact; checkout is slowest but low impact, recommendations highest

* Impact grows towards the top right: frequent and slow beats rare and slower. *

The Monitor tab aggregates span data per service into RED-style charts (latency percentiles, error rate, request rate) and a table of operations. In the Astronomy Shop's frontend:

Operation p95 latency Request rate Impact
GET /api/recommendations 1.39 s 1.49 req/s highest
GET /api/products/[productId]/index 1.46 s 0.91 req/s high
GET /api/cart 603 ms 1.62 req/s medium
POST /api/checkout 2.35 s < 0.1 req/s low

Multiply latency by rate and the ranking follows: recommendations ≈ 2.1, product page ≈ 1.3, cart ≈ 1.0, checkout ≈ 0.2. Checkout is the slowest single call, but almost nobody triggers it; recommendations load on nearly every page.

That is the question Impact answers: where would a speed-up save the most user time? It is a prioritisation aid, not the whole truth. A rare operation can still matter more in business terms (checkout is where the revenue is), which is why you read the ranking together with what the operation means.

Go deeper:

From Quiz: ITIA / Observability in Practice: The OpenTelemetry Astronomy Shop | Updated: Sep 24, 2026