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rippled/docker/telemetry
Pratik Mankawde f8bc8dee48 fix(telemetry): conditional filter-dimension legends + 30m span-nulls
Panel legends only showed the node (service_instance_id); the perf-iac
filter dimensions (xrpl_branch, xrpl_node_role) never appeared, so
baseline-vs-test series were indistinguishable.

Each node-referencing target injects its curated name via
label_replace(...,"series",...) and uses the "__auto" legend, which shows
only labels that vary across the displayed series. A word-boundary-anchored
renameByRegex chain reshapes the auto output into
"Name [node, role]-[branch, work_item]", collapsing empty groups so a
dimension appears only when the filter widens it. Aggregating queries gain
xrpl_branch/xrpl_node_role in their by() so those labels survive; multi-
dimension legends keep their rich label set and append branch/role.

Quantile panels surface the quantile via the panel title (q$quantile),
since {{quantile}} is a dashboard variable, not a series label.

Timeseries panels connect only null gaps shorter than 30m
(spanNulls=1800000): brief scrape gaps bridge, genuine outages stay broken.

Non-node panels (heatmaps, rows, tables, state timelines, category/bucket
series) are left unchanged. Applied to all 14 dashboards.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
2026-07-14 12:18:04 +01:00
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