The GetObject Request Size Distribution heatmap, added on this branch, was
missing calculate, color and cellGap. Grafana's heatmap plugin needs them, and
without them the whole dashboard opens with "An error occurred within the
plugin" instead of rendering.
Same values as the other four heatmaps fixed upstream, taken from the one that
renders correctly on Grafana Cloud. The panel keeps its own axis label and unit.
Every heatmap carried only `tooltip` and `yAxis`, missing `calculate`, `color`
and `cellGap`. Grafana's heatmap plugin treats those as required, and without
them the panel fails to initialise: the dashboard opens with "An error occurred
within the plugin" rather than a chart.
The option values are taken from the one heatmap in this stack that does render
on Grafana Cloud (ledger-sync-health): calculate=false since the queries already
return histogram buckets, the Turbo 64-step scheme, and cellGap=1. Each panel
keeps its own yAxis label, unit and tooltip settings.
This is a long-standing defect rather than fallout from the recent layout work -
the same options are absent in origin/phase9 and in the cloud copies that were
already live.
Carries the sizing fix through to the dashboards this branch owns, after the
live Cloud copies showed charts clipping their legends at h=8 and stats too
cramped at h=4.
Every visualisation is h=10; tables and logs h=12; the log-derived-insights
instruction banner h=12 for its prose. A single height per visualisation also
means any two panels pair cleanly side by side.
Repeat stays on single-value panels only. The five state-timeline and heatmap
panels that had picked it up in an earlier pass are cleared, since repeating a
timeline broke ledger-data-sync on Cloud.
Verified against origin/phase9: no panel lost, every targets block unchanged,
ids 1..N, no grid overlaps.
Two problems showed up once these dashboards were live on Grafana Cloud.
Panels were too short. Charts at h=8 clipped their legends mid-row, and stats
at h=4 were cramped. Every visualisation is now h=10, with tables and logs at
h=12; the log-derived-insights instruction banner keeps h=12 for its prose.
Uniform height also means any two panels can pair side by side.
Repeat on a state-timeline broke the dashboard outright: ledger-data-sync
failed to open on Cloud at v45 and had to be restored to v44. Repeat is now
limited to single-value panels (stat, gauge, bargauge, table). Charts show
their networks as separate series instead, which is what a chart is for.
Repeat was also sticky: normalization only ever added the keys, so a panel that
picked them up in an earlier pass kept them even after its type stopped being
eligible. The keys and the title suffix are now removed from ineligible panels,
which is what actually cleared the two timeline panels here.
Verified per dashboard: no panel lost, every targets block byte-identical, ids
1..N, no grid overlaps, and repeat present only on stat/gauge/bargauge.
Applies the guideline-8 ordering to the two dashboards introduced on this
branch, and clears the last two labelling gaps found while auditing the set:
- peer-quality, validator-health: stats and bar gauges now lead their row
section instead of trailing the charts, matching the other dashboards.
- node-health "Peer Disconnects (Resources)": had an empty axisLabel, the
only chart in the set without one. Now reads "Disconnects".
- rpc-performance row "Aggregate RPC (all commands)" -> "(All Commands)",
the one title that was not in Title Case.
Reordering stays inside each row section so no panel changes category, and the
panel objects are cut and re-spliced as raw text, so their contents are
byte-identical. Verified against origin/phase9: no panel lost, every targets
block unchanged, ids 1..N, and every row section now leads with its
single-value panels.
Guideline 8 asks for gauges and stats at the top. Seven dashboards had them
scattered below charts, so the reader met a wall of time series before the
at-a-glance numbers that give those series context.
Stats, gauges and bar gauges now come first within each row section. The move
is deliberately scoped to inside a section: shifting a panel across a row
boundary would change which category it belongs to. Panels keep their relative
order otherwise, so the reading sequence within each group is unchanged.
Whole panel objects are cut and re-spliced as raw text, so their contents stay
byte-identical and only gridPos and id are recomputed. Verified per dashboard:
panel count unchanged, no panel lost, every targets block byte-identical, ids
still 1..N, and no row section left with a stat below a chart.
Applies the same normalization the phase-7-owned dashboards received, to the
five introduced on this branch: fee-market, job-queue, log-derived-insights,
peer-quality and validator-health.
- id written as 1..N so panelId deep links address a specific panel
rather than whichever panel happens to sit in that position
- gridPos at most two panels across; charts h=8, stats/gauges h=4,
tables/logs h=12 full width. Panels pair only with an
equal-height neighbour, so no row keeps a ragged empty cell.
validator-health and peer-quality were stacked single-file at
full width, which is why they were the longest to scroll.
- line charts lineWidth=1, fillOpacity=0, pointSize=5, gradientMode=none
- repeat xrpl_network_type (horizontal, maxPerRow=2) with a
[$xrpl_network_type] title suffix on stat/gauge/bargauge/
table/state-timeline panels, where two networks overlaid in
one panel reads as noise. Line charts keep their networks as
separate series.
- decimals 0 on panels counting discrete things (peers, quorum,
connection mix) - a fractional peer count is meaningless.
- rows category rows added to fee-market, job-queue and peer-quality
Panels with a right-hand legend stay full width; a side legend needs the room.
Raw-text edits, so untouched lines keep their formatting and escaping byte for
byte. Verified per dashboard against origin/phase9: panel count unchanged, no
panel lost, every targets block byte-identical, descriptions unchanged, ids
exactly 1..N, and no two panels overlapping on the grid.
These dashboards were hand-authored over time and had drifted apart: panel
heights spanned ten different values, nine dashboards had no row grouping,
line-chart styling was inconsistent, and no panel carried an id, so Grafana
assigned them positionally at load and every panelId deep link was only as
stable as the panel order.
Per panel, in document order:
- id written as 1..N so panelId links address a specific panel
- gridPos quantized to at most two panels across: charts h=8,
stats/gauges h=4, tables/logs h=12 full width. Panels are
paired only with an equal-height neighbour, so no row is left
with a ragged half-empty cell.
- line charts lineWidth=1, fillOpacity=0, pointSize=5, gradientMode=none
- repeat xrpl_network_type (horizontal, maxPerRow=2) with a
[$xrpl_network_type] title suffix, on the panel types where
overlaying two networks in one panel reads as noise
(stat/gauge/bargauge/table/state-timeline). Line charts keep
their networks as separate series, which is the point of a
line chart.
- decimals 0 where the value counts discrete things (threads, peers,
queue depths); a fractional thread count is meaningless.
- rows category rows added where a dashboard had none
Panels whose legend sits on the right stay full width: a side legend needs the
horizontal room, and squeezing it to half width clips the series names.
Edits were made as raw-text replacements, not a json.dump round-trip, so
formatting and escaping of untouched lines are byte-identical. Verified per
dashboard: panel count unchanged, every targets block byte-identical, all
descriptions unchanged, ids exactly 1..N, and no two panels overlapping on the
grid. The repo dashboard lint and the OTel naming check both pass.
Four defects found by a query-correctness audit of all 16 dashboards, all
scoped to panels this branch owns.
job-queue "Current Job Latency (p99 Gauge)": the histogram by-clause dropped
service_instance_id, collapsing every node into one fleet-wide p99 and hiding
a slow node. Measured: gauge read 1325us while the worst node was 1868us. The
panel's displayName already referenced service_instance_id, so it was also
rendering an empty label. Now groups by service_instance_id and xrpl_work_item,
matching sibling panels 5, 6 and 7.
ledger-data-sync "NodeStore Read Latency (Bottleneck Discriminator)": replaced
clamp_min(<denominator>, 1) with (<denominator> > 0). clamp_min clamps the
value, not just the zero case, so any node reading below 1/s got a fabricated
denominator. Demonstrated with a zero-rate denominator: clamp_min invents
40.2/40.3/11.2/9.2 where the > 0 guard correctly returns no data. This panel is
the bottleneck discriminator, read during a stall, which is exactly when the
read rate collapses and the clamp is most wrong. Panels 21 and 23 carry the
same defect but originate on phase-7 and are fixed there.
node-health thresholds: percentunit fields are compared against the raw value,
so a step of 80 needed 8000% and could never fire. Rescaled panels 74, 81 and
85 to 0.8. Panel 81 is a found-ratio where high is healthy, so its bands were
also inverted. Note these three panels use palette-classic with thresholdsStyle
off, so the steps are currently dormant rather than visibly wrong.
node-health panels 81 and 85 descriptions: both described the multi-series
panels they were split from. Panel 81 carried a byte-identical copy of panel
80's text, promising three plotted rate lines where it draws a single bounded
ratio; panel 85's text described read-thread gauges absent from its expression.
Rewritten to match the actual queries.
The Transaction Overview panel "Queue Bypass Ratio (Direct Apply vs
Enqueue)" reported a confident 0.50 on every node while the true bypass
rate was zero. The two spans it divided are not disjoint alternatives:
txq.apply_direct is a child of txq.enqueue. TxQ.cpp creates the
apply_direct span as the first statement of tryDirectApply(), ahead of
the account, sequence and fee-level guards, and tryDirectApply() is
called from inside the live enqueue scope. The span therefore counts
attempts, so the denominator direct + enqueue counts each transaction
twice and pins the ratio to one half algebraically.
Measured on a four-node fleet: 6082443 direct against 6082877 enqueue
over the same population, panel output 0.5000170 on three nodes and
0.5000000 on the fourth. Grouping txq.enqueue by txq_status over seven
days returns only "rejected" -- no transaction has ever taken the
direct-apply path.
Remove the panel rather than repoint it. A correct expression using
txq_status as the disjoint discriminator would render permanently
empty on this fleet, which reads no better than a wrong number.
Widen the band partner "TxQ Enqueue Rate by Transaction Type" from 12
to 24 columns so the y=48 band still fills the grid. Every band in all
ten dashboards sums to 24 columns; leaving a half-width hole would be
the only exception. Panel order and every other panel's position,
width and height are unchanged.
The runbook already listed txq.apply_direct as available but not
paneled, so that row becomes accurate. Rows describing the span itself
are untouched -- the span and its metric are unchanged.
Panels 21 (NuDB Read Latency) and 23 (NuDB Read Found Ratio) on the
Ledger Data & Sync dashboard guarded their divisor with
clamp_min(<denominator>, 1). clamp_min raises the value, not just the
zero case, so any node reading fewer than 1 block per second was
divided by a fabricated 1 instead of by its real read count.
Replace the clamp with the filter (<denominator> > 0). A comparison
without the bool modifier drops the sample rather than rewriting it, so
these panels now show no data instead of a wrong number.
Measured over 7 days: five nodes fall below 1 read/s. On validator-0 the
clamp reported 2.726 us/read against a true 5.493, and on nonUNLmalloc-tc
it reported 0 us/read, which cannot occur. The error is largest exactly
when panel 21 is used as the bottleneck discriminator during a stall,
because that is when the read rate collapses toward zero.
Matches the existing idiom on the same nodestore_state metric family in
the NodeStore Write vs Read Latency panel.
Grafana 13 enables the renderAuthJWT feature toggle by default, so the image
renderer silently drops render requests carrying the default token and alert
notifications arrive with no panel image. The runbook's alerting section
covered delivery but not this failure mode.
Adds how the token is wired (one variable feeding both services, so they cannot
drift), how to override it, and the two-command check for when images stop
appearing.
The renderer was the only service in the stack on a floating :latest tag, so
the stack was not reproducible: a renderer release could change under a
checkout that had not been touched. Pins it to v5.12.0, matching how every
other service here is pinned.
Also wires the shared render token. Grafana 13 enables the renderAuthJWT
feature toggle by default, and the renderer rejects requests unless both sides
present the same non-default token, so pinning alone would leave rendering
broken once the Grafana bump merges forward. Both values come from the same
GF_RENDERING_RENDERER_TOKEN variable and cannot drift apart; the local default
keeps `docker compose up` working with no setup.
Verified `docker compose config` resolves and both AUTH_TOKEN and
GF_RENDERING_RENDERER_TOKEN expand to the same value.
Bumps the Loki pin this branch introduced, and updates the two docs that
name the version so they do not drift from the compose file:
- OpenTelemetryPlan/09-data-collection-reference.md (log backend section)
- OpenTelemetryPlan/Phase8_taskList.md (compose snippet)
The service runs the config bundled in the image rather than one from this
repo; `-verify-config` reports "config is valid" under 3.7.6, and native OTLP
ingestion at /otlp is unchanged across 3.4 -> 3.7.
Moves off the v2.53 LTS line, which this branch pinned, onto the current
v3 release, and corrects the accompanying comment that named the old line.
Verified against the new image rather than assumed, since this crosses a
major version:
- prometheus.yml passes `promtool check config` under v3.13.2
- all 391 unique dashboard PromQL queries parse under the v3 parser
- all 13 alert-rule expressions parse under the v3 parser
The config uses none of the surfaces v3 changed: no remote_write, no
holt_winters, no offset modifiers.
Bumps the three images this branch pins:
otel-collector-contrib 0.121.0 -> 0.158.0
tempo 2.7.2 -> 2.9.4
grafana 11.5.2 -> 13.1.2
Verified locally against the new images: the collector config passes
`validate` under 0.158.0 and tempo.yaml passes `-config.verify=true` under
2.9.4, both unchanged. The collector's log path uses the generic otlphttp
exporter (otlphttp/loki), not the dedicated loki exporter removed upstream in
v0.147.0, so the pipeline is unaffected by that removal.
Grafana crosses two majors. Operator-visible consequences are handled on the
branches that own the affected files: Grafana 13 enables the renderAuthJWT
feature toggle by default, so the image renderer now requires a matching
renderer_token on both the server and the renderer container.
The Mainnet telemetry config carried ssl_verify=0, inherited when the file
was copied from the Devnet config. Mainnet fetches its validator lists from
public HTTPS publishers (vl.ripple.com, unl.xrplf.org) that present valid CA
certificates, so there is no self-signed certificate to work around.
With ssl_verify=0 both halves of TLS peer authentication are skipped on those
fetches: the certificate chain check and the RFC 6125 hostname match. The list
blob's own signature is still verified against the pinned publisher keys, so
this restores defense in depth rather than fixing a validator-injection path.
Restores the secure default and documents why it stays that way.
develop renamed xrpl::Resource to xrpl::resource. MetricsRegistry.cpp
declared `namespace resource = opentelemetry::sdk::resource` at file
scope, but both use sites are inside namespace xrpl::telemetry, where
inner-scope lookup finds the enclosing xrpl::resource first and never
reaches the alias. That namespace has no ResourceAttributes or Resource,
so the build failed on all four platforms:
error: no type named 'ResourceAttributes' in namespace 'xrpl::resource'
error: no member named 'Create' in namespace 'xrpl::resource';
did you mean 'creat'?
Rename the alias to otel_resource. Moving it inside xrpl::telemetry would
also compile, but only by shadowing xrpl::resource -- a reader at the use
site still could not tell which namespace `resource::` meant, and a later
using-directive would reintroduce the ambiguity. A distinct name removes
the collision by construction and matches the metric_sdk / otlp_http
aliases already in this file.
Rule D validated every dashboard label against L1 (*SpanNames.h) and L6
(MetricsRegistry) labels. LogQL labels have a third provenance neither
layer can resolve: they are minted by the collector's regex_parser named
captures (partition, severity) or by an in-query `| regexp` stage
(action, pk, state, mode, phase, jobname, ip, pubkey). Checking them
against L1/L6 reported ten violations for labels correct by
construction.
Make the rule datasource-aware instead of allowlisting a filename. The
dashboard JSON is parsed so each query can be attributed to its
datasource, and queries on a log datasource are skipped. The exemption is
per query, not per file, so a dashboard mixing Prometheus and Loki panels
still has its Prometheus panels validated.
Parsing the JSON also fixed a blind spot: label filters are stored with
backslash-escaped quotes (`label=~\"$v\"`), which the previous raw-text
regex could never match, so only the `sum by (...)` form was ever
checked. With the strings unescaped, 555 queries are now validated where
far fewer were before. That surfaced three legitimate label sources the
rule did not model, each fixed at its source rather than allowlisted:
- deployment_environment / xrpl_network_type: resource attributes the
collector promotes onto metric datapoints. Derived from the config's
resource_metrics_key_attributes, so a new key is picked up
automatically, in both dotted and underscore forms.
- resource.service.instance.id: strips to a dotted service-identity
key, which builtins only held in underscore form.
- name: the TraceQL span-name intrinsic, alongside duration and kind.
A file that does not parse falls back to the raw-text scan, which checks
every query rather than skipping it; JSON validity is already enforced by
the prettier pre-commit hook.
Adds 10 tests: the exemption, per-query scoping in a mixed dashboard,
target-inherits-panel datasource, no sideways inheritance leak, nested
row panels, TraceQL intrinsics, the malformed-JSON fallback, and the
collector-promotion helper.
