This branch removes the collector's StatsD receiver and un-publishes
8125/udp, but xrpld-telemetry.cfg still selected server=statsd, so the
sample config sent beast::insight metrics over UDP to a port nothing
listens on. Phase7_taskList.md:132 lists this switch as required work.
Select server=otel and replace address= with the OTLP metrics endpoint.
Document that endpoint and prefix are informational only, since
OTelCollector records on the global MeterProvider that [telemetry]
configures and formatName() applies no prefix, and note that beast
instruments are not exported yet because the collector is constructed
before the MeterProvider is registered.
Six findings from the review of #6494 survived independent verification.
Each was checked against the branch tip, and where behaviour was in
question, against a live collector and Loki rather than from the
reviewer's claim or from documentation alone.
Plan-doc section numbering. 06-implementation-phases.md used "## 6.9"
twice: for the new Phase 8 section and for the pre-existing Risk
Assessment. Three references already pointed at 6.8.1 and none at 6.9,
and the later phases are numbered 6.8.2 through 6.8.4, so Phase 8
becomes 6.8.1 and the sequence is monotonic. Renumbering to 6.10, as
suggested on the PR, would have collided with Success Metrics.
filelog read position. The receiver relied on the upstream default
start_at=end, which skips everything a node wrote before the first poll
and reads nothing at all from a log that has stopped being written to.
Read from the beginning instead, paired with a file_storage extension so
a restart resumes at the last offset rather than re-ingesting the file.
The collector image runs as 10001:10001 and ships no writable directory,
and a fresh named volume is root-owned, so a one-shot init service
prepares the volume first. It reuses an image the stack already pulls,
adding no new dependency.
Loki log stream label. The job resource attribute did not become a Loki
index label, so the documented {job="xrpld"} queries matched nothing.
Verified against grafana/loki:3.4.2 with its default config: only
service_name and deployment_environment are indexed, and job arrives as
structured metadata, which a stream selector cannot match. Dropped the
attribute and moved the twelve queries this branch introduced to
{service_name="xrpld"}. Three further occurrences in
07-observability-backends.md originate on the phase-1a branch and are
left for a commit there.
Trace ids on unsampled spans. Logs::format emitted trace_id and span_id
whenever the span context was valid. A span dropped by the
ParentBasedSampler still carries its parent's ids, so log lines
advertised traces that were never exported and the log-to-trace link
resolved to nothing. Require the sampled flag as well, and correct the
task list and the documentation that promised the fields unconditionally.
The remaining two findings were refuted. The reported risk of signing
material reaching Loki does not hold: Logs::format already scrubs seven
sensitive fields, and there is a single write path to the log file, so
every JLOG site is covered. The suggestion to add internalLink to the
Loki derived field is not applicable, because that key is not part of
Grafana's schema.
Run with no arguments the script iterated an empty list, found no
violations and printed "OK: 0 dashboard(s) passed" with exit 0 -- a clean
bill of health for reading no files, indistinguishable from a real pass.
A bare run now defaults to every dashboard beside the script, and a run
that still ends up with nothing to check exits 2 rather than reporting
success. Passing paths explicitly behaves as before.
Nine targets across four panels filtered on xrpl_work_item while leaving
it out of their sum by() grouping. PromQL keeps only the labels listed in
by(), so the label was dropped from the result and the xrpl_ident legend
these panels build from it lost that segment.
Perf-iac runs stamp xrpl_work_item and give each work item its own set of
nodes, so service_instance_id already separates the runs; the visible
effect is the legend rather than merged series. Adding the label makes the
work item identifiable, which is the comparison these panels exist for.
NuDB Read Latency and NuDB Read Found Ratio each divide two aggregations.
Both sides get the label so their label sets stay equal and vector
matching still works.
The row was titled after the rollout phase its metrics came from, a number
defined only in a planning folder outside the shipped tree. Grafana shows
this title to operators, so it named something no reader could look up.
Two panel descriptions pointed at a rollout phase and task number defined
only in a planning folder outside the shipped tree. The note still names
the file and the change it is waiting on, which is the part a reader can
act on.
The catalog tagged every span with a rollout phase number defined only in
a planning folder outside the shipped tree, so the column meant nothing
to a reader of the repository. The span name and source file identify
each entry.
These comments and headings identified the feature by a rollout phase
number defined only in a planning folder outside the shipped tree, so the
label meant nothing to a reader of the repository.
The section labels carried rollout phase numbers that are defined only in
a planning folder outside the shipped tree, so they meant nothing to a
reader of the repository. The descriptive half of each label already
identifies the section.
The label carried a rollout phase number defined only in a planning
folder outside the shipped tree. The descriptive half already identifies
the section.
A repeating panel expands into one copy per network at view time and, with
maxPerRow=2, claims the whole row. The non-repeating panel paired beside it was
pushed to the next line but kept its stored x=12, so it rendered on the right
against an empty gap.
Two changes to how the layout is planned:
- a repeating panel gets a row to itself. It keeps w=12, so its copies still
tile two across inside that row.
- single-value panels are grouped to the top of each row section, so the
charts that follow pair with each other instead of being split up by an
interleaved repeat. Without this the gaps just become wasted half-rows.
Verified per dashboard: no panel lost, every targets block byte-identical, ids
1..N, no overlaps, and no row left with a gap on its left.
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.
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.
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.
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.
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.
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 four job-latency panels on node-health declared milliseconds while
querying `job_running_us` / `job_queued_us`, which record microseconds
(MetricsRegistry records the raw value, and the instrument description
says microseconds). Every reading was therefore a thousand times too
large: the p95 for acceptLedger, 241495us, rendered as "241 sec"
instead of 241ms. job-queue.json already read these same metrics as
microseconds, so the two dashboards disagreed by 1000x on identical
data. Switch node-health to microseconds to match.
Also replace the generic `ops` and `cps` units, which Grafana renders
as the literal "ops/s" and "counts/s", with custom-suffix units naming
what each panel counts -- messages, fetches, calls, mismatches.
Two panels plot more than one quantity on a single axis, which no
single unit can describe. Give each series its own unit through field
overrides: reads per second beside two queue depths on NuDB Read
Pressure, and ledgers beside fetches on Ledger Close Rate, the latter
on a right-hand axis.
State Duration Rate plots a seconds-per-second time share, which can
exceed 1.0 and so is not a percentage; label it as the ratio it is.
The normalised share already exists as its own panel.
Queries are unchanged; the values were already correct.
Alongside, bring the touched panels up to the dashboard guidelines and
hoist the stat panels above the fold.
Grafana renders `unit: "ops"` as the literal string "ops/s", so every
rate panel read as "operations per second" regardless of what it
actually counted. `Ledger Build Rate` showed "0.258 ops/s" where the
value is one ledger every 3.9s -- the number was right, the unit was
meaningless.
Replace the generic units with Grafana custom-suffix units naming the
quantity, following the existing `suffix:/hr` and `si:drops` precedent
in this repo. Nine of these are `stat` panels with no axis, so the unit
string was the only text a reader ever saw.
Also switch the two trusted/untrusted piecharts and the transaction
path piechart from rate() to increase(): a per-slice "per second"
reading is not a share of a total, counts in the window are.
Queries are unchanged apart from those three; the values were already
correct.
Alongside, bring the touched panels up to the dashboard guidelines:
tooltip mode/sort/max-height, 30-minute null spanning, and axis labels
in title case. Hoist the stat panels above the fold on
ledger-operations and rpc-performance.
Panels that a later branch in this chain removes are deliberately left
alone -- fixing them would only add merge conflicts.
The dashboard's template variables and panel targets select their
datasource via ${DS_PROMETHEUS}, but the variable itself was absent from
templating.list. An unresolvable datasource variable leaves those queries
without a datasource, so the panels render empty.
Add the datasource variable as the first templating entry, matching the
other dashboards in this folder.
Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
The Sync State panel only ever showed Connected and Full. Two causes:
1. state_tracking{metric="state_value"} is emitted with values 0-6, where
5 is FULL+validating and 6 is FULL+proposing, but the panel declared
max: 4 with value mappings for 0-4 only. Values above 4 were pinned to
the axis ceiling and rendered unmapped. Most nodes sit at 6, so the
majority of series were clipped.
2. The gauge samples the instantaneous mode on a 10s export tick, so
states shorter than one tick fall between samples. A real sync showed
SYNCING for a single scrape and skipped TRACKING entirely. This is the
sampling hazard already noted on StateAccounting in NetworkOPs.h.
Extend the panel domain to 0-6 with Validating and Proposing mappings and
matching threshold steps, and add a colour-coded state-timeline panel where
each band's width is the time spent in that state, so brief states appear
as thin slivers rather than disappearing. The timeline reads
server_info{metric="server_state"} (raw OperatingMode 0-4) rather than
state_value, which folds 5 and 6 onto FULL and would split one Full band
into three colours.
Panel layout below the insertion point shifts down by 6 rows.
Note this makes short states legible, not lossless: exporting
StateAccounting's per-state duration accumulators is the sampling-immune
fix and is left as follow-up.
Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
nudb_bytes was documented as a NuDB file size, one place even claiming a
filesystem stat. It observes Database::getStoreSize(), which sums the object
payloads this process has written. It excludes NuDB's keys, bucket padding and
log, and resets with the process. node_written_bytes calls the same accessor, so
the two series are equal by construction and a write-amplification ratio built
from them is a constant 1.0. Neither Backend nor Database exposes a file-size
accessor, so nothing reports on-disk size today.
The Ledger Data & Sync panel plotting node_reads_hit / node_reads_total was
titled "NuDB Cache Hit Ratio" and described as reads served from cache.
fetchHitCount_ increments whenever a fetch returned an object, whatever served
it, so the ratio is a found rate. It reads near 100% while every fetch goes to
disk, which made the cold-read failure mode look impossible. Renamed to
"NuDB Read Found Ratio" and rewrote the guidance to pair it with read latency.
Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
Match the panel height the operator settled on in Grafana (18 rows) so
all 20 ranked bars render without an inner scrollbar, and reflow the
Sync Diagnostics row and the panels below it accordingly.
