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Add navigation & usage metrics for end-user experience visibility

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Instrument DB query timing (11 operations across 3 repositories),
streaming lifecycle (TTFB, duration, feature count), cache operation
latency, listing detail step breakdown, and frontend page load /
time-to-first-listing / stream download / detail load metrics.

Adds 16 new OTel instruments, extends the perf ingestion endpoint
with 4 new frontend metrics, and adds ~20 Grafana dashboard panels
across 4 new rows (DB Query Performance, Streaming Performance,
Listing Detail Breakdown, Cache Performance, Frontend Navigation).
This commit is contained in:
Viktor Barzin 2026-02-23 20:28:42 +00:00
parent 1ae00b7cbf
commit 35f1987ac1
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GPG key ID: 0EB088298288D958
11 changed files with 1236 additions and 26 deletions
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13
api/perf_routes.py
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@ -6,7 +6,10 @@ from pydantic import BaseModel, Field, field_validator
import api.metrics as app_metrics
ALLOWED_METRICS = {"worker_roundtrip", "worker_compute", "main_thread", "feature_count"}
ALLOWED_METRICS = {
"worker_roundtrip", "worker_compute", "main_thread", "feature_count",
"page_load", "time_to_first_listing", "stream_download", "listing_detail_load",
}
MAX_BATCH_SIZE = 100
@ -41,5 +44,13 @@ async def record_perf(samples: list[PerfSample]) -> Response:
app_metrics.frontend_main_thread.record(s.value, attrs)
elif s.metric == "feature_count":
app_metrics.frontend_feature_count.record(s.value)
elif s.metric == "page_load":
app_metrics.frontend_page_load.record(s.value, attrs)
elif s.metric == "time_to_first_listing":
app_metrics.frontend_time_to_first_listing.record(s.value, attrs)
elif s.metric == "stream_download":
app_metrics.frontend_stream_download.record(s.value)
elif s.metric == "listing_detail_load":
app_metrics.frontend_listing_detail_load.record(s.value)
return Response(status_code=204)