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.
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 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.
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.
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.
Replace the TxQ Accept Status piechart on the Transaction Overview
dashboard with a state-timeline showing each node's applied fraction of
TxQ accepts (applied / applied+failed) over time, colored by threshold
(green >=0.9, yellow >=0.7, red below). Remove the now-orphaned
txq_status template variable (the piechart was its only consumer) and
document the panel in the telemetry runbook.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Seed the $node template variable from target_info instead of a
signal-specific metric. Signal metrics only list nodes that emit that
specific signal, so nodes (e.g. Alloy-collected ones) were missing from
the dropdown and every panel. target_info is emitted for every node, so
all nodes are always selectable. Panels already filter on
service_instance_id=~"$node", so no panel changes are needed.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Change the pre-selected value of the service_name template variable from
'All' to 'xrpld'. On first load, dashboards now filter to service.name=xrpld
directly rather than showing every service the collector sees. The 'All'
option is still selectable — this only changes the default the widget
starts on.
Reduces the chance of a fresh dashboard link showing unrelated services
(e.g. non-xrpld exporters sharing the same Grafana Cloud stack) before
the user narrows the filter.
Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
The template variable's Prometheus label name is `service_name` but the
UI display label read 'Service', which mismatched what users typed into
Grafana's Metrics Drilldown UI (which defaults to filter on a bare
`service` label). Rename the display label to 'Service Name' so it
unambiguously points at the underlying `service_name` Prometheus label.
Behaviour unchanged; template-variable name (`service_name`) and PromQL
label are the same. Only the widget label shown at the top of the
dashboard changes from 'Service' to 'Service Name'.
Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
exported_instance is a Prometheus scrape artifact that only exists when
Prometheus scrapes a target with a conflicting instance label. Users
running push-based pipelines (remote_write, OTLP) never get this label.
service_instance_id is always present via resource_to_telemetry_conversion
regardless of ingestion path.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Reviewer noted implementation-phase references should not appear in
shipped config comments. Drop the "Phase 3/4" token, keep the description.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
Reviewer noted implementation-phase references should not appear in
shipped config comments. Drop the "Phase 4" tokens, keep descriptions.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
Reviewer noted implementation-phase references should not appear in
shipped config comments. Drop the "Phase 3" tokens, keep descriptions.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
Reviewer noted implementation-phase references should not appear in
shipped config comments. Drop the "Phase 2" tokens, keep descriptions.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
Reviewer noted implementation-phase references should not appear in
shipped config comments. Drop the "Phase 1b" token, keep the filter
description.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
Change the six remaining `type: static` search filters in tempo.yaml to
`type: dynamic` so Grafana queries Tempo for available tag values instead
of requiring manual free-text entry. Aligns service-name, node-id,
network-type, span-name, span-status, and span-duration with the existing
node-version and network-id filters.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
The $service_name template variable's description used a personal-name example
value. Replace "pratik-xrpld" with the generic "xrpld-validator" in the five
dashboards that introduced it.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
Add a resource/stripsdk processor that deletes telemetry.sdk.language,
telemetry.sdk.name, and telemetry.sdk.version (auto-added by the OTel SDK
to every Resource). Wire it into the traces pipeline; the metrics and
logs pipelines pick it up on the branches that introduce them.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
Make dashboard uids bare domain names (uid == filename stem) and update
doc references. Grafana links/bookmarks to the old uids will need
refreshing.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
Consensus Health, Ledger Operations, and Transaction Overview had no
top-level description, so Grafana showed no info button. Add a one-line
summary of what each dashboard shows and its data source.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
The integration-test.sh trace queries used resource.service.name="rippled",
but the OTel resource attribute is "xrpld" (TelemetryConfig.cpp, MetricsRegistry.cpp),
so every span check and the service-registration check returned no results.
Also restore .github/scripts/rename/README.md, which an overzealous
find-and-replace had corrupted into circular no-ops (e.g. rename "xrpld" to
"xrpld"). The file documents the rename process and must retain the source
names (rippled/ripple); restored to match develop.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
Every dashboard already lives in the rippled/xrpld dashboard folder and
carries domain-specific tags (consensus, rpc, statsd, etc.), so the
leading "rippled" tag added no filtering value and only cluttered the
tag list.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
- 09-data-collection-reference: add $service_name, $deployment_environment,
$xrpl_network_type to the template-variable table; note they appear on all
dashboards and point to the runbook's Deployment Tiers section.
- TESTING.md: add a Prometheus check verifying the tier labels
(deployment_environment, xrpl_network_type, service_name) are present on
metric series.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
Extend the deployment-tier tagging to the metrics path and expose it in
the dashboards so a single Grafana stack can be sliced by environment,
network, and service:
Collector (otel-collector-config.yaml):
- prometheus exporter: enable resource_to_telemetry_conversion so
resource attributes (deployment.environment, xrpl.network.type,
service.name, service.instance.id) become Prometheus labels.
- metrics pipeline: run resource/tier so statsd metrics are tagged too.
- spanmetrics: add the tier keys to the resource-metrics grouping key
so per-tier series stay grouped separately.
Dashboards (5 files):
- add $service_name, $deployment_environment, $xrpl_network_type
template variables, named to match their Prometheus labels.
- inject the matching label filters into every panel query that
already filters by $node.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
