Resolved five files. In each case both sides had content worth keeping,
so nothing was taken wholesale:
- MetricsRegistry.cpp: kept the incoming `handler` label on the job
instruments and re-applied this branch's `queuedDurUs >= 0` guard,
which the incoming side does not have.
- telemetry-runbook.md: took the incoming gauge table, which adds the
three per-job-type rows, and re-applied this branch's corrected
`jobq_job_count` name.
- 09-data-collection-reference.md: kept this branch's validation
inventory (newer counts, extra Config File column) and inserted the
incoming call-site and per-job-type gauge rows plus their explanation.
- node-health.json: merged structurally rather than by text. This
branch's panels are authoritative; only the two incoming job-queue
panels were appended, below the existing layout. The
`Validated Ledger Seq` panels added directly in Grafana are preserved.
- job-queue.json, ledger-data-sync.json: panel sets were identical, so
took the incoming side for its `$handler` variable, the handler filter
on existing queries, and the new panels. Verified no panel was lost.
Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
Resolved OpenTelemetryPlan/09-data-collection-reference.md: both sides
document the same new metrics, reached by different routes. The incoming
sections came from the phase-6 edit merged forward; this branch already
documents the same surface in its own layout, with the job lifecycle
metrics and the GetObject request path under the MetricsRegistry
section rather than a separate 2a.
Kept this branch's sections to avoid duplicate entries for every metric.
Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
Resolved OpenTelemetryPlan/09-data-collection-reference.md: this branch
replaced the StatsD-shaped Section 2 with OTel-native naming, so the
incoming StatsD tables and the StatsD per-job timer section do not apply
here. Kept this branch's names throughout.
The incoming per-job-type saturation gauge section is new content and is
retained, renumbered to 2.5 and rewritten for the OTel naming: bare
lowercase `jobq_<jobtype>_{waiting,running,deferred}` derived through
OTelCollector rather than the case-preserving `xrpld_`-prefixed StatsD
form.
Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
Slowness on the peer object-fetch path could be observed but not
attributed. Job duration metrics carry only `job_type`, and both
`RcvGetLedger` and `RcvGetObjByHash` report as `ledgerRequest`, so a
queue-wait spike could not be traced to a handler. Nothing measured
NodeStore cost, request size, or the differential charge.
Latency now decomposes into three additive parts, each separately
measurable:
end-to-end = queue wait + NodeStore lookup + everything else
- `handler` label on job_queued_total/_started_total/_finished_total and
job_queued_us/job_running_us. The value is sanitised: a name passes
through only if non-empty and all ASCII letters, else "other". Two job
names embed a ledger sequence, so a raw label would mint one series
per ledger; the rule bounds the domain at 43 names plus "other".
- getobject_lookup_us, _request_objects, _lookups_total{result},
_rejected_total{reason} and _charge, recorded at their call sites.
All three histograms get explicit bucket views: the SDK default stops
at 10,000, which every one of them exceeds.
- Per-job-type waiting/running/deferred gauges for the 35 non-special
job types. `deferred` is the leading indicator, since addJob never
rejects -- it defers, so backpressure otherwise shows up only as
latency after the fact.
`JobQueue::collect()` snapshots the counters under the queue lock and
publishes gauges after releasing it. Writing them while holding the lock
would invert a lock order against the collector's own lock, which the
collector's flush thread already holds when it calls this hook.
Tests assert exact values, including that the charge is priced on the
requested count rather than the capped iteration count.
Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
Add reference entries for the observability surface introduced on
phase-9: the `handler` label on the job instruments, the five
`getobject_*` request metrics, and the per-job-type queue saturation
gauges.
Names here follow this branch's StatsD pipeline, which preserves case
and carries the `xrpld_` prefix, so they differ from the lowercased
OTel-native names used from phase-7 onward. The sections state where
the implementing code lives, since it is introduced downstream.
Also correct pre-existing entries: `job_count` exports as
`jobq_job_count` via the collector group prefix, the non-special job
type count is 35 (not 36), and `JtLedgerData` has five producers.
Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
Document the two new ledger-correlation attributes in the data-collection
reference: add them to the transaction and TxQ attribute tables (with per-span
coverage), update the attribute count, and correct the txq.enqueue parent note
(parents to tx.process on the submission path via explicit context; a root on
the open-ledger rebuild path, correlated via current_ledger_seq).
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Add a "Protocol Span Flow" section to the telemetry operator runbook: 8
Mermaid diagrams that map every OTel span onto the real xrpld control flow
and XRPL protocol order (verified against code and docs/consensus.md), for
use as the canonical key when linking the span hierarchy.
- Master overview, client/peer ingress, shared apply pipeline, consensus
round, accept/build/finalize, and pathfinding/ledger-acquire side flows.
- Every node/branch is labelled with the span that represents that state or
transition (or explicit "(no span)"); drops/abandons are marked terminal.
- Shows real loops, retries, recovery, and drop branches: multi-round
consensus settling (avalanche threshold rounds + MovedOn/Expired retry with
wrong-ledger recovery), 3-pass tx apply retry, TxQ cross-ledger retry,
quorum-gated async validation with abandoned-ledger, ingress backpressure
drops, and cross-node context propagation.
- Adds a divergence table noting where OTel span parenting does not match the
real protocol flow (deterministic/hash trace-id roots, JtAccept/JtUpdatePf
job hand-offs, sequential peer->consensus receive stages).
Replace the stale planning-era diagram in OpenTelemetryPlan/08-appendix.md
(which named spans that were never built) with a pointer to the runbook.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Brings coroutine-aware context storage + tx/consensus worker-body activation.
Resolved: Telemetry.cpp keeps both meterProvider_ (phase-7) and contextStorage_
(coro-aware); doc-09 keeps phase-7 structure and applies the pathfind.request →
rpc.command.<name> correction to phase-7's own PathFind section.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
The check-rename CI gate requires all prose/comment references to use the
new naming. Fix the four remaining occurrences ("Ripple epoch",
"rippled's doAccept") introduced by this branch's dashboard/glossary
commits. Comment- and doc-only; no behavior change.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Reflects the C1 fix: rpc.command.* stays unscoped (its dispatch wraps
doRipplePathFind which yields), so pathfind.request nests under rpc.process.
The request -> compute -> discover sub-tree nests correctly via ScopedSpanGuard.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
The "ledger close time" was mis-derived and partly un-queryable:
- Build vs Close Duration derived close time from the consensus.ledger_close
span, which only wraps the onClose() prologue (~0.8ms live) — not the close.
Repoint the close series to consensus.round (full round, live P95 ~4.8s).
- The network close-time value (close_time) lived only as a span attribute,
un-queryable in Prometheus and unfit as a spanmetrics label (monotonic
timestamp -> unbounded cardinality). Expose it as last_close_time on the
existing server_info observable gauge (native gauge, no new instrument).
- Add a "Ledger Close Interval & Age" panel to ledger-operations and
node-health: interval = 1/rate(ledgers_closed_total) (counter-based,
scrape-independent); age = time() - (last_close_time + epoch_offset).
A gauge delta is deliberately NOT used for the interval — a timestamp gauge's
delta aliases to the scrape period, not the close cadence (verified live).
Guardrail comments in both collector configs record why close_time must never
become a spanmetrics dimension. Docs (09-reference) and the operator runbook
updated to match.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Document that deterministic-trace_id spans (tx.* apply pipeline, tx.process,
tx.receive, consensus.round) are now genuine trace roots with empty
parent_span_id via the custom DeterministicIdGenerator, superseding the old
synthetic-parent behavior that showed 'root span not yet received' in Tempo.
Also update the fresh-root note: peer entry spans use ScopedSpanGuard::freshRoot().
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
These inbound peer-message entry points (kConsumer) used span(), which
inherits whatever span is active on the peer thread — including a leaked
tx.receive scope — so validations/proposals were wrongly nested under
unrelated transaction traces. rootSpan() starts a fresh trace root.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Both spans are moved into job-queue lambdas and destroyed on a worker
thread. Detaching on the origin thread pops the thread-local OTel Scope
there, so later spans on the peer/RPC thread no longer inherit these as a
leaked ambient parent. Trace_id/parent are unchanged (both are hashSpan).
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Document the three perf-iac filter template variables (xrpl_work_item,
xrpl_branch, xrpl_node_role) in the telemetry runbook and the data-collection
reference: what they filter, their example values, and that perf-iac stamps
them as resource attributes from its own alloy pipeline (absent outside
perf comparison runs, so the filters default to All). Also record perf as a
network value.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Dashboard audit against the live datasource surfaced two broken panel queries
and applied UX polish across all 14 dashboards.
- node-health "Job Queue Depth": job_count -> jobq_job_count. The JobQueue
collector is wrapped in group("jobq") (Application.cpp), so the registered
job_count gauge is emitted with the jobq_ prefix; the panel queried the
unprefixed name and returned nothing.
- network-traffic "Overlay Traffic by Category" + "All Traffic Categories":
topk(N, rate({__name__=~".*_bytes_in"}[...])) errors on Mimir ("vector
cannot contain metrics with the same labelset") because rate() drops
__name__ and the many counters collapse. Replaced with an enumerated
label_replace form that re-attaches __name__ per metric, preserving the
{{__name__}} legend and per-series display-name overrides.
- All 14 dashboards: refresh set to 10s.
- peer-quality: each panel full screen width.
- validator-health: at most two panels per row (row headers preserved).
- docs: telemetry-runbook and 06-implementation-phases updated for the
jobq_ prefix and the network-traffic query pattern.
Verified end-to-end against a local mainnet xrpld node feeding the local
stack: jobq_job_count returns data (old job_count empty), both network-traffic
exprs execute (old form reproduces the labelset error), and panels render
through the Grafana proxy. All 14 pass validate_dashboards.py.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
