The collector reads the per-node directory off the log file path and stamps it
as the Loki label service_instance_id, so the directory name has to equal the
node's own [telemetry] service_instance_id or log lines carry a node name that
no trace or metric shares and nothing joins.
Both harness scripts disagreed with themselves: run-full-validation.sh wrote to
node$i while setting validator-${i}, and benchmark.sh wrote to node$i while
setting bench-node-${i}. Rename the directories to match the ids rather than
the reverse, so no existing trace or metric label value moves and no harness
expectation has to be re-checked. Only path references are renamed; the
human-readable "node$i" in log and error messages is left as prose.
The config template is not rendered by any script, so its DATA_DIR
documentation gains a note about the same constraint instead.
Also rename the deprecated otlphttp/filelog collector component names in the
harness scripts and docs.
The workload README contradicted itself on --skip-loki: one bullet said CI always
passes it and so the two log-correlation checks are never exercised, another said
the workflow no longer passes it. The workflow mentions the flag nowhere, so the
first was the stale half.
Other claims checked against the tree and corrected:
- both the README and the plan doc described the push trigger as filtered on
branch names. The workflow has no branches filter, deliberately, because
GitHub ANDs branches with paths
- the plan doc printed 6 of the workflow's 12 paths globs, and claimed the
workflow was 367 lines against an actual 451. The glob block is now generated
from the workflow, and the line count dropped rather than restated
- rpcNOT_SUPPORTED does not exist anywhere in the tree. The symbol is
RpcNotSupported, and the refusal sites are RipplePathFind.cpp:59-60 and
PathFind.cpp:50-51, not :48-49 and :39
- RCLConsensus.cpp:666 and :663 are not log or event lines; the tx.included event
is at :720 and the per-transaction debug log at :715
- LedgerMaster.cpp:463 is fixIndex, not the ledger.store span, which is at :470
- ServerHandler.cpp:705 is inside makeJsonError; processRequest is at :718
- file counts: docker/telemetry/workload/ is 25 files, include/xrpl/telemetry/ 13
- the optional-span bullet named five causes covering 10 of 16 entries, omitting
the txq.* family and the WebSocket handshake
- the /api/v1/series choice was attributed to stale StatsD gauges; this harness
runs no StatsD
A line number in run-full-validation.sh was cited in five places and drifts on
every edit to that file, so those now name the file only. The keygen helper's
header records what production does instead -- validator-keys-tool create_keys
then create_token, keeping the master key off the node -- and why a disposable
cluster does not.
Notes across the workload contract described earlier versions of themselves, or
cited commits that only exist inside this chain. A squash merge publishes none of
it, so each reference resolves nowhere.
Notes that described their own earlier text:
- expected_spans.json: 'this note previously concluded', 'this note previously
said', 'Un-skipped 2026-08-26', 'the reason had simply gone stale for two
weeks' and 'the claim this entry carried' are replaced by the standing reason
each entry holds. The wildcard pairs now say the validator globs the child via
_span_name_matches(), and state the literal-collapse failure as what a
different validator WOULD do rather than as history.
- regression-thresholds.json: 'an earlier version of this note wrongly claimed',
'the earlier version oversold it' and 'an earlier note called that' become the
cautions themselves -- do not reason from 'every ladder step is at least 2x',
do not oversell the backstop, do not read a false fire as a missing override.
- test_check_regression_bounds.py: the docstring gives the reason a literal is
wrong here, not the story of two tests that once hard-coded one.
Baseline-refresh history rewritten as measurement:
- README.md, baselines/README.md, telemetry-runbook.md and regression-metrics.json
no longer attribute threshold moves to 'the 2026-08-26 refresh'. The evidence
is kept as measurement -- span.tx.apply.p50 has read 0.7917 ms and 0.00597 ms
on the same workload, 132x apart; job.acceptLedger.running.p95 has measured a
5.74x floor on one baseline and 16.28x on another -- which is what supports the
claim that a single-run baseline cannot bound these keys.
Two chain-only commit ids removed, d059f21bf3 and 3860c93db2. Neither is
reachable from develop, so both cease to exist on merge; the second is chain
bookkeeping. The facts they were cited for (the validator globs wildcards; the
span ladder's floor is 0.01 ms) are stated directly instead.
Capture provenance is deliberately kept: baseline-timings.json 'captured_at',
the 2026-08-26 baseline heading, and the 2026-08-24 figures cited as data.
Documentation, JSON note strings and one docstring only, no behaviour change.
The harness contract described how path-finding load came to be absent rather
than why it is absent. The load exists on no branch before this one, so a squash
merge publishes no revision that ever issued it: the 2026-08-25 date resolves
nowhere, and 'removing it', 'used to satisfy' and 'has now cleared' compare
against a state a reader cannot reach.
- README: state that DEFAULT_WEIGHTS carries no ripple_path_find entry, and give
the error floor as what WOULD happen if it did, rather than what removing it
fixed. 'Putting it back' becomes 'Enabling it'.
- expected_spans.json: the pathfind.request and pathfind.compute notes, and both
hierarchy skip_reasons, now put the span's presence in the conditional -- the
parent would appear if the RPC were issued, because the ScopedSpanGuard at
RipplePathFind.cpp:35 sits above the rpcNOT_SUPPORTED guard at :48-49.
- expected_metrics.json: the rpc_method_errored_total, pathfind_fast and
pathfind_full notes drop the date and keep both independent reasons the
metrics stay absent.
- regression-thresholds.json: span.ledger.store 'is excluded from' the gated
surface rather than 'was removed from' it.
The reasoning is unchanged: pathfinding is off because Config.cpp:725-726 zeroes
pathSearchMax when [validation_seed] is present, a refused call still exports an
error span, and at a 3% weight that is a ~3% STATUS_CODE_ERROR floor.
Documentation and JSON note strings only, no behaviour change.
The regression baseline is bootstrapped by copying a CI artifact. The workflow
tested only that timings.json existed, then printed it verbatim under a heading
inviting the reader to paste it in as the new baseline.
capture_timings.py writes that file and only then enforces --min-capture-ratio,
so an incomplete capture leaves a file that exists but covers fewer keys than
the contract declares. The verdict lived in CAPTURE_EXIT, a shell variable local
to run-full-validation.sh that no other program could read. So on a placeholder
baseline plus a thin capture, CI offered an incomplete artifact as the next
baseline, and pasting it narrowed the gate with nothing reporting that it had.
That is the failure shape this harness keeps producing: a degraded result that
looks exactly like a good one.
The artifact now carries its own completeness, next to metrics:
"capture": { "declared": 20, "captured": 20, "min_ratio": 0.5, "complete": true }
complete is the same condition the producer exits 0 on, computed once with the
exit code read off it, so the flag and the status cannot drift apart. Any
consumer can now tell a complete capture from a thin one, not just CI.
Both paste-me paths refuse rather than warn: the workflow prints the counts and
an error annotation with no JSON, and the comparator explains on stderr while
leaving stdout empty, so a redirect cannot produce a plausible-looking file. A
warning above a copyable block is still a copyable block, and a reader who has
just hit a red gate is already predisposed to re-baseline. A missing capture
block fails closed.
Refusal is scoped to bootstrapping a baseline, not to comparing against one, so
artifacts captured before this change still replay: verified against the run the
current baseline came from, which carries no capture block and still reports 0
regressions. An injected regression is still caught, and the gated surface is
unchanged at 20 keys with 5 excluded.
Refreshes baselines/baseline-timings.json from run 32964262700 at 8418d474a7,
byte-identical to the CI artifact. The previous baseline was captured at
6a82fc6f37, before the path-finding load was removed from the workload, so it
described a load shape the harness no longer runs.
Every absolute bound is re-derived, because the rule is hi_next minus baseline
and the baselines moved.
Three more keys stop being gated: span.tx.apply.p50, span.ledger.build.p50 and
span.consensus.ledger_close.p50. This is the rule the previous commit recorded
being applied, not a new exception -- a key is gateable only when its
run-to-run spread fits inside its bound.
The evidence is span.tx.apply.p50, which read 0.7917 ms in the old baseline and
0.00597 ms in this one. That is a 132x move between two runs of the SAME
workload. The old value happened to land mid-distribution, so hi_next minus
baseline gave a 4.21 ms bound that absorbed the spread; the new value lands in
the ladder's first bucket, so the same rule gives 0.0440 ms and cannot survive
one. Whether the gate functioned was decided by where in the distribution the
captured run happened to fall, which is not a threshold in need of tuning.
Measured spreads across four runs agree: 364x, 25.3x and 5.9x respectively.
All five excluded keys share one shape -- a baseline landing in the ladder's
low buckets, where the derived bound is tiny, together with large run-to-run
spread. Single-run baselines cannot support them; a multi-run baseline, or a
spread measurement captured alongside the baseline, is what would let them be
gated again. Not attempted here.
Both runs that would have reddened CI now replay clean, and an injected 10x
regression is still caught on 19 of the 20 remaining keys, 20 of 20 at 20x.
The exception is job.acceptLedger.running.p95, whose baseline fell while its
hi_next did not, moving its floor to 16.28x. It stays gated with that floor
recorded beside the other weak keys.
Also makes the bounds checker report a zero or negative baseline as a named
rule failure instead of dividing by it and raising.
The regression gate has been red on runs with no code change. Only two of
the 25 gated keys ever tripped, both on the same span and never together:
run 32862589645 failed p99 at 25.8750 ms against a 1.0600 ms baseline
(+2341%), run 32867433073 failed p95 at 0.7500 ms against 0.2404 ms
(+212%), and in each run the other quantile sat well inside its own bound.
A real slowdown would move both. This is variance, not a defect.
Measured across four CI runs:
span.ledger.validate.p50 0.0484 to 0.0778 ms 1.6x spread kept
span.ledger.validate.p95 0.1281 to 0.7500 ms 5.9x spread excluded
span.ledger.validate.p99 0.3875 to 25.8750 ms 66.8x spread excluded
Both excluded quantiles reach past their trip point on a healthy run. The
mechanism is arrival timing, not slow code: the span opens only once a
quorum-completing validation arrives (LedgerMaster.cpp:987, inside
checkAccept, past the early return) and wraps the promotion work that
follows, so one slow consensus round dominates the tail of a 3m rate
window and which round that is differs every run.
Widening is not available and must not be attempted later: tolerating
25.8750 ms against a 1.0600 ms baseline needs a bound of about 24.8 ms,
which gates nothing. A bound admitting every healthy run's worst case
admits every regression too. p50 stays gated; it is stable.
THE GENERAL RULE, recorded so this does not recur: an absolute bound
derived as hi_next minus baseline comes from the histogram ladder, so it
budgets for quantization noise and for nothing else. It knows nothing about
how far a metric moves between runs on identical code. Before gating any
key, check its observed maximum across several runs against its trip point
and gate it only with margin. Spread alone proves nothing: tx.apply.p50
swings 364x and never fires, because its 5 ms trip point absorbs the range.
Of the 23 keys still gated the worst reaches 0.67 of its trip point.
Mechanism: spans.names lists span names while _quantiles is shared, so
dropping two quantiles of one span cannot be expressed by deleting a name.
regression-metrics.json gains an excluded_keys map from a flat key to the
reason it is not gated, subtracted by both prom_queries.py (so the key is
never queried) and check_regression_bounds.py rule A. A per-name quantile
override was rejected: a typo there leaves the key gating, whereas a typo
in an exclusion subtracts nothing and new rule F rejects it, along with an
empty reason, a leftover threshold override and a leftover baseline value.
Derived figures recomputed from the committed baseline: 25 gated keys to
23, detection floor 2.02x-9.43x to 2.02x-9.42x, weakly guarded keys ten to
nine, bound over baseline 102%-843% to 102%-842%. The baseline edit is a
deletion of two entries only, with no value rewritten.
Verified: both previously failing runs replay to zero regressions and exit
0; a tenfold increase injected into each of the 23 remaining keys in turn
is still caught in all 23 cases; rule F was confirmed load-bearing by
stubbing it out, which lets a stale exclusion pass.
The two log-correlation checks have never executed in CI: the workflow
hardcoded --skip-loki, so validate_telemetry.py never constructed
log.trace_id_present or log.trace_id_cross_reference. A green Telemetry
Validation therefore carried no evidence that a log line reaches Loki with
trace context. Drop the flag so both checks run and can fail the job.
Correlation spans four independent legs and a failed check names none of
them, so run-full-validation.sh now prints a per-leg diagnostic after the
suite whenever the checks are enabled:
node per-node debug.log line count, the count matching the injected
trace_id/span_id shape, one sample line, and the severity mix,
so "no log at all", "log level too high" and "no active sampled
span" are distinguishable
mount the container-side listing of /var/log/xrpld, taken with the
collector's own mounts and uid. That image is built from
scratch and carries no shell, so the listing runs in a
throwaway container with --volumes-from, not via docker exec
collector the receiver's watched files, logs-pipeline warnings, and the
internal log-record counters, read from inside the container's
network namespace because that endpoint binds to the
container's own localhost and its port is not published
loki the exact query used, the label inventory, and entry counts for
the stream selector with and without the line filter, so "Loki
has nothing" and "Loki has lines but none carry a trace id" are
distinguishable
The diagnostics are non-fatal by construction: every leg runs in its own
subshell with errexit off, each docker and curl call is guarded, and the
coordinator always returns success. Verified with no containers and no Loki
reachable, with an emptied PATH, and with a leg forced to exit non-zero.
validate_telemetry.py gains a matching diagnostic beside the checks,
following _log_prometheus_metric_names: warnings only, never a check
result. Its stream selector and line filter move into module constants
that the shell diagnostic reads back, so the two cannot drift into
describing different queries.
No check was widened or auto-passed, and LOG_QUERY_WINDOW_SECONDS stays at
four hours; a wider window would let a check pass on a previous run's logs.
Every node the harness starts is a validator, and validators disable
pathfinding: Config.cpp:725-726 zeroes pathSearchMax whenever a
[validation_seed] or [validator_token] section is present, and
run-full-validation.sh writes [validation_seed] into every generated node
cfg (:308) with no [path_search] section to put the default back. So
doRipplePathFind refused every call at RipplePathFind.cpp:48-49 and the
3% ripple_path_find weight bought no coverage at all.
It was not free either. The pathfind.request guard is constructed at
RipplePathFind.cpp:35, above that refusal, so each refused call still
exported a span, and the enclosing rpc.command.ripple_path_find span
carried rpc_status=error. That put a steady 3% error floor into
span_calls_total for STATUS_CODE_ERROR: any error-rate threshold derived
from harness data before this change was measuring the harness rather
than xrpld, and needs re-deriving.
Removing the load makes pathfind.request unreachable, so it moves from
required to optional in expected_spans.json; without that the span check
would fail on every run. Three notes in that file and three in
expected_metrics.json made claims that are now false, two of them citing
line numbers this commit deletes; all six are corrected. The runbook
required/optional count moves 26/15 to 25/16.
Two facts a future reader needs.
First, the weights previously summed to 103, not 100, so every percentage
the docstring stated was wrong: health checks were really 38.8%, not 40%.
Dropping the 3 makes the sum exactly 100 and every stated percentage
correct for the first time. expected_spans.json also carried live
arithmetic off the old total, "25/103 ... roughly 43%", now 25/100 and
42%.
Second, baselines/baseline-timings.json was captured WITH this load. Only
span.rpc.ws_message p50/p95/p99 of the 25 gated keys sees the RPC mix,
and their trip points sit 3.1x to 5.9x above baseline, so the gate will
not fire. But a timing baseline is workload-specific and its profile
field still reads full-validation, so nothing will flag the drift:
refresh it from the next CI run's timings artifact.
Pathfinding now has no coverage in this harness at all. The workload
README section "Pathfinding is not exercised" records that cost, the
manual verification route, and a four-step restore recipe in which steps
1 and 2 alone only reinstate the error floor.
validate_metrics and validate_spans only ever run one direction: read the
contract, ask the backend whether each listed name exists. Nothing looked the
other way, so a metric family or span name the contract omitted was invisible
by construction. Both emitted inventories were already being fetched for the
CI log and neither was compared back, which is how a 345 family metric gap and
7 unknown span names went unnoticed.
Add two reverse checks, metric.reverse_coverage and span.reverse_coverage.
Each names every emitted family the contract never mentions, sorted, one per
line, with counts in the report details.
Warn only, by design. passed is hardcoded True in a single shared builder, so
an unaccounted name cannot turn CI red: downstream branches legitimately add
telemetry an upstream contract has not seen yet, and a hard failure would
redden all of them for doing the right thing.
Bulk families are accounted for declaratively. A new top level
accounted_patterns list in expected_metrics.json holds anchored regexes with a
written reason each, covering the 105 per job type queue gauges, the 70 per job
type histogram families, the 228 overlay per category traffic families, and the
Prometheus scrape plumbing that is not xrpld telemetry. Job type shapes are
reduced structurally because every job type name lowercases to letters only;
traffic categories are enumerated instead, because they contain underscores and
a structural pattern there would swallow unrelated names. Anything outside
these shapes still surfaces.
Exporter shapes are folded before matching, so a histogram triple is accounted
for by an entry written for its base family and is never reported as three
separate gaps. Spans need no pattern list: the reverse check reuses the same
matcher the forward check uses, so a glob such as rpc.command.* covers every
command it expands to, and an optional entry still counts as known.
Also fix the diagnostic these checks feed on: both emitted lists were logged as
a single Python list repr, about 15 kB on one line for 422 families, unreadable
and impossible to compare between runs. Both now print one name per line.
_metric_check_targets now selects groups by testing that the value is an
object, rather than by excluding two key names, so a non group top level key
cannot break it. Output is byte identical: 79 metric plus 5 label checks, same
names in the same order.
The gate could not catch a regression on any sub-millisecond span.
compare_to_baseline.py requires both the percentage and the absolute bound to
breach, and every span shared one flat absolute bound of 10 ms (15 ms for p99)
calibrated for a 5-25 ms band the spans do not occupy. Against the baseline
captured on 2026-08-24, where 18 of the 28 quantiles gated at the time sat
below 1 ms, that bound sat 1.15x to 2000x above the metric it guarded, so the
AND never fired: a 100x regression injected into span.ledger.store.p95 reported
0 regressions and exit 0. Injecting a 10x regression into each key in turn was
caught on only 5 of 28.
Give every gated key its own absolute bound, equal to the distance from its
baseline to hi_next, the edge above the top of the bucket the baseline sits in.
The trip point is then exactly hi_next, so the gate fires only once the reading
clears the bucket above the baseline's own. That is the property a multiple of
the enclosing bucket width cannot provide: after the quantile crosses hi, the
interpolation happens across the next bucket, which on this ladder is up to
eight times wider, so no multiple of the enclosing width bounds the excursion.
Measured with a model-free reachability test, a single bucket crossing can
produce a false regression on 2 of 25 keys under the old flat bound and 0 of 25
under this rule. The smallest catchable regression is 2.02x to 9.43x per key.
The job queue bound had the same shape of problem on three of its four keys
(42x, 47x, 220x before). Defaults now sit at each ladder floor, leaving the
percentage bound operative for a metric that somehow reaches them.
Drop span.ledger.store from the gated surface. Its captured quantiles were
0.005, 0.0095 and 0.0099 ms, which is the ladder's 0.01 ms floor times the
quantile: every sample lands under 10 us, so the reported value does not move
even if each store slows from 2 us to 9 us. No bound can gate it. Presence is
still asserted by expected_spans.json and the integration test, and the rate is
still on the ledger-operations dashboard.
Add check_regression_bounds.py, wired into the same workflow step as the bucket
parity check. It fails when a bound is not the one its own baseline implies,
when a gated key has no override, when the baseline and metric surface disagree,
when the percentage bound would become operative, and when a baseline carries
the ladder floor signature. This gate has now broken three times through the
same drift between ladder, baseline and bounds, so documentation alone is not
enough.
compare_to_baseline.py is unchanged: its existing per-metric override mechanism
already expresses all of this.
A missing, unreadable or malformed input makes that check exit 1 naming the
input, rather than reporting success without having checked anything; only a
placeholder baseline, the documented bootstrap state, still exits 0. Its own
tests cover both halves of that contract plus one case per rule, and run in the
workflow before the check so a broken rule reads as a broken rule.
The runbook said a correlated log line was "guaranteed" at info severity.
Info is necessary but not sufficient. Replaced the flat claim with the four
real preconditions, each with the code that enforces it and the failure mode
it produces: telemetry enabled, trace_consensus=1, a valid roundSpanContext_
(SpanGuard::childSpan returns a null guard on an invalid parent), and a valid
plus sampled span context (Log.cpp gates injection on IsValid and IsSampled).
Also noted which harness cfgs satisfy them -- run-full-validation.sh and
integration-test.sh set all three config keys; benchmark.sh deliberately
stays at warning and runs no correlation check.
Second, the two checks this work exists to make pass are not exercised by
CI. The workflow hardcodes --skip-loki, and validate_telemetry.py builds
log.trace_id_present and log.trace_id_cross_reference only inside an
"if not skip_loki" branch, so they are never constructed rather than merely
skipped, and never appear in the report. No workflow runs integration-test.sh
either, so its own check_log_correlation() never runs in CI. Recorded that in
the runbook's CI workflow section and in the workload README, with the local
command that does cover it: run-full-validation.sh without --skip-loki.
The workflow itself is unchanged on purpose. Dropping the flag would make CI
exercise Loki ingestion and filelog mounting for the first time on the same
run that must produce a clean regression baseline, so a red result would not
be attributable.
Every generated node cfg carried prefix=xrpld under a comment claiming it
"matches the OTel resource service name and the metric names the dashboards
query". Both halves are false.
Verified inert before removing: CollectorManager.cpp reads the key on the OTel
path and passes it to OTelCollector::New, but the only use of prefix_ anywhere
in OTelCollector.cpp is the startup log line. formatName() -- the single funnel
for every instrument name -- only lowercases the name and turns dots and
spaces into underscores; it never reads prefix_. So exported names carry no
prefix at all. expected_metrics.json's own description records this ("Metric
names have no prefix (the xrpld_ prefix was removed)") and 488 live metric
names confirmed it: jobq_job_count, rpc_requests_total, total_bytes_in.
A reader trusting the comment would look for xrpld_jobq_job_count and find
nothing.
The replacement comment states what is true and checkable: the collector
declares no statsd receiver (its metrics pipeline is [otlp, spanmetrics],
confirmed in otel-collector-config.yaml), so beast::insight must export over
OTLP for system metrics to reach Prometheus at all; server=otel is the only
load-bearing key; exported names carry no prefix.
Metric names, series and dashboards are unchanged. The one observable
difference is the OTelCollector startup log line, which now prints an empty
prefix.
Also updated workload/README.md, which repeated the same prefix=xrpld claim
and would have been left describing a cfg key that no longer exists, and made
the template header state the sync obligation explicitly -- nothing reads that
file, so nothing catches it drifting from the cfg the runner generates.
The rename check rewrites a bare pre-rename binary name in any processed
doc, which turned the sampler's selector description into "against xrpld
or xrpld". Describe the fallback without spelling the legacy token.
Fixes the review findings on this PR that belong to files it owns, plus
several defects found while verifying those fixes. Findings in files owned
by upstream branches are routed there and left untouched here.
Correctness:
- tx_submitter: advance the account sequence only on results that actually
consume one (tes*, tec*, terQUEUED). tem*/tef*/tel* never reach the
ledger, so advancing left a permanent gap that every later submit from
that account inherited. Add a re-fetch hatch so a repeated non-consuming
failure cannot livelock on the same sequence, and gate the account check
on funded-ness rather than list length.
- validate_telemetry: filter spans by name before collecting attributes, so
a per-span attribute contract can no longer be satisfied by a sibling
span; require exact name equality for non-wildcard children and glob
matching for wildcards; bounds-check every returned series instead of
only the first.
- collect_system_metrics: select xrpld by argv[0] rather than a substring
match on the whole command line, which averaged in unrelated processes
and reported their RSS as xrpld's. Count genuine 0.0 CPU readings, use a
clamped nearest-rank p99 index, and record RPC latency only on success.
- benchmark: return each verdict through a named variable instead of a
command substitution, so the pass/fail counters survive and the exit gate
can fire. Scale before dividing in the percentage math, which truncated a
1.26% impact to 1.00% and cleared a 1% threshold.
- compare_to_baseline: fall back to the absolute bound when the baseline is
not positive, so a 0 -> 500 ms jump is no longer "within bounds".
- rpc_load_generator: bound each connection to one in-flight recv(), drain
in-flight requests before closing, use a nearest-rank percentile, and
report delivery shortfall so an under-delivered run cannot pass with a 0%
error rate.
Fail loudly instead of silently:
- run-full-validation: treat a consensus timeout and a missing validated
ledger as fatal infrastructure errors, and fold the orchestrator and
benchmark exit codes into the final status. A degraded cluster previously
ran a full validation pass and reported misleading downstream failures.
- collect_system_metrics: warn per empty measurement source, emit
metrics_complete, and exit non-zero instead of substituting zeros that
pass every threshold. Require GNU date with %N rather than falling back
to a per-sample python3 fork that costs more than the threshold it is
measured against.
- benchmark: distinguish "could not measure" from "exceeded thresholds",
install a cleanup trap so a failure cannot leak nodes and ports, and
report an unusable baseline as inconclusive.
- workload_orchestrator: bound subprocess communicate() and fail the exit
gate on per-phase errors.
Also pins the workload compose images to the versions the sibling stack
already uses, hash-pins the Python dependencies, restricts the validator
config template to loopback, corrects the dashboard and metric counts in
the reference docs, drops a span from the regression gate that cannot fire
under a WebSocket-only workload, and narrows the teardown pkill pattern so
it no longer matches processes that merely mention the work directory.
Verified with a full harness run against a local five-node cluster:
158 of 158 checks passed with no regressions detected.
The harness manifests asserted things the code cannot produce and missed most
of what it does. Two assertions were failing every run, and the metric set
covered 16 of the ~41 emitted names.
expected_spans.json: rpc.process was required with rpc.ws_message as its
parent, but it is created only in ServerHandler::processRequest() on the HTTP
path, so a WebSocket-only workload never produces it -- it is now optional and
parented to rpc.http_request, and the rpc.process -> rpc.command.* edge is
skipped with the real reason instead of a coroutine-context-loss diagnosis that
was never the cause. Adds the missing rpc.ws_upgrade span, corrects four
parents (consensus.mode_change, pathfind.request, and update_positions/check,
which are children of consensus.establish rather than consensus.round), and
demotes conditionally-set attributes out of required_attributes so a healthy
run stops failing. Counts recomputed from the file: 41 span types, 62 unique
required attributes.
expected_metrics.json: 16 -> 52 asserted entries across the job-queue, RPC
method, reduce-relay, overflow and validation families, plus the fifteenth
dashboard uid. Metrics the harness workload cannot exercise -- erroring RPC,
ledger-mismatch, TxQ overflow, and the lazily-created getobject_* instruments
-- are listed in a not_asserted group the validator skips, rather than as
assertions that would fail on a healthy node.
The workflow's push trigger listed two globs matching nothing
(include/xrpl/basics/Telemetry*.h, src/xrpld/app/misc/Telemetry*), so no C++
telemetry change ever triggered validation. Replaced with the paths the code
actually lives in, including src/libxrpl/beast/insight/** for the insight
export path the harness depends on. The four inert workflow_dispatch inputs are
now labelled UNUSED rather than looking like working knobs.
Docs: the workload README described a StatsD dirty-flag mechanism under a
member name that does not exist, on a code path the harness never uses -- it
sets [insight] server=otel, so gauges export through an observable-gauge
callback every cycle. Adds the missing txq-burst phase, reconciles three
different dashboard counts, and drops "posts summary to PR", which the workflow
has no permission to do. The runbook's phase-10 section loses the last
sampling_ratio reference (not a config key), gains a Regression Gate and CI
subsection covering the gate that can fail CI, and its compose-logs command now
names the workload compose file. cmake --preset default is left for a separate
change: no CMakePresets.json is tracked, so it is wrong everywhere it appears.
Also drops the dead exporter=otlp_http key the harness wrote into every node
config, and stops capture_timings.py defaulting --profile to a profile that
does not exist.
The Phase 10 validation harness had drifted from the code's recording surface
and the telemetry-validation CI job was failing before it could build.
CI fix (telemetry-validation.yml):
- Replace nonexistent local action ./.github/actions/print-env with the remote
XRPLF/actions/print-build-env (the build-xrpld job failed in 56s on this).
- Sync prepare-runner and upload-artifact action SHAs to the canonical workflow.
Recording-surface reconciliation (docker/telemetry/workload/):
- Migrate span attributes from dotted xrpl.<domain>.<field> to the bare/underscore
form introduced by the 2026-05-13 span-attr naming redesign (tx_hash, peer_id,
ledger_seq, consensus_mode, consensus_round, full_validation, quorum, ...).
Dotted xrpl.ledger.hash is retained only on peer.validation.receive (shared
constant), while consensus.validation.send uses bare ledger_hash.
- Fix attribute placement: tx.apply carries tx_count/tx_failed (not ledger_seq);
ledger.build carries ledger_seq/close_* (not tx_count/tx_failed).
- Replace the phantom rpc.request span with the real WS root rpc.ws_message; drop
the never-emitted duration_ms; rebuild the parent-child map accordingly.
- Add the new spans the code emits: apply-pipeline stage spans
(tx.preflight/preclaim/transactor with stage/tx_type/ter_result), txq.*,
consensus sub-spans (round/establish/update_positions/check/phase.open),
ledger.acquire, grpc.*, pathfind.*. Conditional spans are marked optional so
they are skipped (not failed) when the workload does not exercise them.
- validate_telemetry.py: service.name and Loki job label rippled -> xrpld; fix
PARITY_SPAN_ATTRS (rename the 4 real attrs, drop the 3 that are metrics not span
attrs); add optional-span handling that skips missing optional spans while still
validating attributes when present.
- expected_metrics.json: rippled_ -> xrpld_ on all beast::insight/overlay metrics,
xrpld_job_count, the 15 on-disk xrpld-* dashboard UIDs, and the real bare
spanmetrics dimension labels.
- regression-metrics.json + baseline-timings.json: rpc.request -> rpc.ws_message.
Metrics pipeline fix:
- Switch node [insight] config from server=statsd/prefix=rippled to server=otel +
/v1/metrics endpoint + prefix=xrpld across run-full-validation.sh,
xrpld-validator.cfg.template, benchmark.sh and the workload compose. The
collector has no StatsD receiver, so system metrics only reach Prometheus over
OTLP.
Synthetic load for new spans:
- Add ripple_path_find to the RPC load generator (drives pathfind.* spans).
- Add a high-TPS txq-burst workload phase to force fee escalation (drives txq.*).
All facts verified against the *SpanNames.h headers and a live xrpld node +
collector (Tempo service.name=xrpld, tx.preflight attrs [stage,ter_result,tx_type],
279 xrpld_ Prometheus metrics and zero rippled_).
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Captures per-span / per-RPC / per-job timings from Prometheus after the
workload run and diffs them against a committed baseline. Regression
requires breaching both a percentage and an absolute bound, tolerating
small-value noise. When the baseline is a placeholder, the comparator
emits the captured JSON in the exact schema for one-time paste into
baselines/baseline-timings.json, and the CI Step Summary surfaces that
block for the reviewer.
Scope: gate only — automated baseline persistence, benchmark.sh
PromQL migration, and the historical trend dashboard remain follow-ups.
Migrate validate_telemetry.py to Tempo TraceQL search API, remove
Jaeger service from workload docker-compose, update readiness checks.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
