mirror of
https://github.com/XRPLF/rippled.git
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feat(telemetry): correct ledger-close-time derivation on dashboards
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>
This commit is contained in:
@@ -845,16 +845,17 @@ async callbacks for new categories.
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#### Server Info (via OTel MetricsRegistry)
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| Prometheus Metric | Type | Labels | Description |
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| --------------------------------------------------- | ----- | -------- | -------------------------------------------- |
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| `server_info{metric="server_state"}` | Gauge | `metric` | Operating mode (0=DISCONNECTED .. 4=FULL) |
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| `server_info{metric="uptime"}` | Gauge | `metric` | Seconds since server start |
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| `server_info{metric="peers"}` | Gauge | `metric` | Total connected peers |
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| `server_info{metric="validated_ledger_seq"}` | Gauge | `metric` | Validated ledger sequence number |
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| `server_info{metric="ledger_current_index"}` | Gauge | `metric` | Current open ledger sequence |
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| `server_info{metric="peer_disconnects_resources"}` | Gauge | `metric` | Cumulative resource-related peer disconnects |
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| `server_info{metric="last_close_proposers"}` | Gauge | `metric` | Proposers in last closed round |
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| `server_info{metric="last_close_converge_time_ms"}` | Gauge | `metric` | Last close convergence time (milliseconds) |
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| Prometheus Metric | Type | Labels | Description |
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| --------------------------------------------------- | ----- | -------- | --------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
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| `server_info{metric="server_state"}` | Gauge | `metric` | Operating mode (0=DISCONNECTED .. 4=FULL) |
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| `server_info{metric="uptime"}` | Gauge | `metric` | Seconds since server start |
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| `server_info{metric="peers"}` | Gauge | `metric` | Total connected peers |
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| `server_info{metric="validated_ledger_seq"}` | Gauge | `metric` | Validated ledger sequence number |
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| `server_info{metric="ledger_current_index"}` | Gauge | `metric` | Current open ledger sequence |
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| `server_info{metric="peer_disconnects_resources"}` | Gauge | `metric` | Cumulative resource-related peer disconnects |
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| `server_info{metric="last_close_proposers"}` | Gauge | `metric` | Proposers in last closed round |
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| `server_info{metric="last_close_converge_time_ms"}` | Gauge | `metric` | Last close convergence time (milliseconds) |
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| `server_info{metric="last_close_time"}` | Gauge | `metric` | Network close time of last closed ledger (NetClock secs since Ripple epoch). Query `time() - (value + 946684800)` for last-close age (staleness). Use `1/rate(ledgers_closed_total)` — not a gauge delta — for the close interval |
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#### Build Info (via OTel MetricsRegistry)
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@@ -302,7 +302,7 @@
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},
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{
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"title": "Build vs Close Duration",
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"description": "###### What this is:\n*Ledger build time compared with the total consensus ledger-close time, both at the 95th percentile.*\n\n###### How it's computed:\n*Two 95th-percentile duration series over 5 minutes: ledger construction and the full consensus close, per node.*\n\n###### Reading it:\n*Build should sit below close; the gap is consensus overhead outside construction.*\n\n###### Healthy range:\n*Close a bit above build; both workload-dependent and under the round interval.*\n\n###### Watch for:\n*A widening gap (consensus-pipeline overhead growing) or build time approaching close time.*\n\n###### Source:\n[BuildLedger.cpp](https://github.com/XRPLF/rippled/blob/develop/src/xrpld/app/ledger/detail/BuildLedger.cpp) \u00b7 [RCLConsensus.cpp](https://github.com/XRPLF/rippled/blob/develop/src/xrpld/app/consensus/RCLConsensus.cpp)\n\n###### Function:\n`buildLedgerImpl ; RCLConsensus::Adaptor::onClose`",
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"description": "###### What this is:\n*Ledger build time compared with the full consensus round duration, both at the 95th percentile.*\n\n###### How it's computed:\n*Two 95th-percentile duration series over 5 minutes: ledger construction (ledger.build span) and the whole consensus round from open to accept (consensus.round span), per node.*\n\n###### Reading it:\n*Build should sit well below the round; the gap is consensus wait time (proposing, converging, validating) outside construction.*\n\n###### Healthy range:\n*Round tracks the network close interval (~3-5s on mainnet); build is a fraction of it (tens to hundreds of ms).*\n\n###### Watch for:\n*Build time approaching the round duration \u2014 construction is dominating the close and leaving little slack.*\n\n###### Note:\n*The close series uses consensus.round, not consensus.ledger_close: the latter span only wraps the onClose() prologue (sub-millisecond) and is not the ledger close time.*\n\n###### Source:\n[BuildLedger.cpp](https://github.com/XRPLF/rippled/blob/develop/src/xrpld/app/ledger/detail/BuildLedger.cpp) \u00b7 [RCLConsensus.cpp](https://github.com/XRPLF/rippled/blob/develop/src/xrpld/app/consensus/RCLConsensus.cpp)\n\n###### Function:\n`buildLedgerImpl ; RCLConsensus::Adaptor::onClose (round span)`",
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"type": "timeseries",
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"gridPos": {
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"h": 8,
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@@ -330,7 +330,7 @@
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"type": "prometheus",
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"uid": "${DS_PROMETHEUS}"
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},
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"expr": "label_replace(label_join(label_replace(histogram_quantile(0.95, sum by (le, service_instance_id, xrpl_branch, xrpl_node_role) (rate(span_duration_milliseconds_bucket{service_instance_id=~\"$node\", deployment_environment=~\"$deployment_environment\", xrpl_network_type=~\"$xrpl_network_type\", service_name=~\"$service_name\", xrpl_work_item=~\"$xrpl_work_item\", xrpl_branch=~\"$xrpl_branch\", xrpl_node_role=~\"$xrpl_node_role\", span_name=\"consensus.ledger_close\"}[5m]))), \"series\", \"P95 consensus.ledger_close\", \"\", \"\"), \"xrpl_ident\", \", \", \"service_instance_id\", \"xrpl_branch\", \"xrpl_work_item\"), \"xrpl_ident\", \"[$1]\", \"xrpl_ident\", \"(?:, )*(.*[^, ])(?:, )*\")"
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"expr": "label_replace(label_join(label_replace(histogram_quantile(0.95, sum by (le, service_instance_id, xrpl_branch, xrpl_node_role) (rate(span_duration_milliseconds_bucket{service_instance_id=~\"$node\", deployment_environment=~\"$deployment_environment\", xrpl_network_type=~\"$xrpl_network_type\", service_name=~\"$service_name\", xrpl_work_item=~\"$xrpl_work_item\", xrpl_branch=~\"$xrpl_branch\", xrpl_node_role=~\"$xrpl_node_role\", span_name=\"consensus.round\"}[5m]))), \"series\", \"P95 Close (consensus.round)\", \"\", \"\"), \"xrpl_ident\", \", \", \"service_instance_id\", \"xrpl_branch\", \"xrpl_work_item\"), \"xrpl_ident\", \"[$1]\", \"xrpl_ident\", \"(?:, )*(.*[^, ])(?:, )*\")"
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}
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],
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"fieldConfig": {
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@@ -347,6 +347,54 @@
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},
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"overrides": []
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}
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},
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{
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"title": "Ledger Close Interval & Age",
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"description": "###### What this is:\n*The wall-clock time between consecutive ledger closes — the network close cadence.*\n\n###### How it's computed:\n*Close Interval: 1 / rate(ledgers_closed_total), the average seconds between closes from the monotonic close counter (scrape-independent, unlike a gauge delta which would alias to the scrape period). Last-Close Age: time() minus the last-close network time (server_info last_close_time gauge + Ripple-epoch offset), i.e. seconds since the last ledger closed.*\n\n###### Reading it:\n*A steady line near the network's target close interval.*\n\n###### Healthy range:\n*About 3-5s on mainnet; workload-dependent on test networks.*\n\n###### Watch for:\n*A rising interval (consensus slowing or the node lagging) or a flat line at zero (ledgers no longer closing).*\n\n###### Source:\n[MetricsRegistry.cpp](https://github.com/XRPLF/rippled/blob/develop/src/xrpld/telemetry/MetricsRegistry.cpp) · [RCLConsensus.cpp](https://github.com/XRPLF/rippled/blob/develop/src/xrpld/app/consensus/RCLConsensus.cpp)\n\n###### Function:\n`registerServerInfoGauge (last_close_time) ; ledgers_closed_total`",
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"type": "timeseries",
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"gridPos": {
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"h": 8,
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"w": 12,
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"x": 0,
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"y": 32
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},
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"options": {
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"tooltip": {
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"maxHeight": 600,
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"mode": "multi",
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"sort": "desc"
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}
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},
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"targets": [
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{
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"datasource": {
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"type": "prometheus",
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"uid": "${DS_PROMETHEUS}"
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},
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"expr": "label_replace(label_join(label_replace(time() - (server_info{metric=\"last_close_time\", service_instance_id=~\"$node\", deployment_environment=~\"$deployment_environment\", xrpl_network_type=~\"$xrpl_network_type\", service_name=~\"$service_name\", xrpl_work_item=~\"$xrpl_work_item\", xrpl_branch=~\"$xrpl_branch\", xrpl_node_role=~\"$xrpl_node_role\"} + 946684800), \"series\", \"Last-Close Age (s)\", \"\", \"\"), \"xrpl_ident\", \", \", \"service_instance_id\", \"xrpl_branch\", \"xrpl_work_item\"), \"xrpl_ident\", \"[$1]\", \"xrpl_ident\", \"(?:, )*(.*[^, ])(?:, )*\")"
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},
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{
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"datasource": {
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"type": "prometheus",
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"uid": "${DS_PROMETHEUS}"
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},
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"expr": "label_replace(label_join(label_replace(1 / sum by (service_instance_id, xrpl_branch, xrpl_node_role) (rate(ledgers_closed_total{service_instance_id=~\"$node\", deployment_environment=~\"$deployment_environment\", xrpl_network_type=~\"$xrpl_network_type\", service_name=~\"$service_name\", xrpl_work_item=~\"$xrpl_work_item\", xrpl_branch=~\"$xrpl_branch\", xrpl_node_role=~\"$xrpl_node_role\"}[$__rate_interval])), \"series\", \"Close Interval\", \"\", \"\"), \"xrpl_ident\", \", \", \"service_instance_id\", \"xrpl_branch\", \"xrpl_work_item\"), \"xrpl_ident\", \"[$1]\", \"xrpl_ident\", \"(?:, )*(.*[^, ])(?:, )*\")"
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}
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],
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"fieldConfig": {
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"defaults": {
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"displayName": "${__field.labels.series} ${__field.labels.xrpl_ident}",
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"unit": "s",
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"custom": {
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"axisLabel": "Seconds",
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"spanNulls": 1800000,
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"insertNulls": false,
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"showPoints": "auto",
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"pointSize": 3
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}
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},
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"overrides": []
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}
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}
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],
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"schemaVersion": 39,
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@@ -3693,6 +3693,113 @@
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"title": "Last Close \u2014 Proposers",
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"type": "timeseries"
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},
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{
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"datasource": {
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"type": "prometheus",
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"uid": "${DS_PROMETHEUS}"
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},
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"description": "###### What this is:\n*The wall-clock time between consecutive ledger closes \u2014 the network close cadence.*\n\n###### How it's computed:\n*Close Interval: 1 / rate(ledgers_closed_total), the average seconds between closes from the monotonic close counter (scrape-independent, unlike a gauge delta which would alias to the scrape period). Last-Close Age: time() minus the last-close network time (server_info last_close_time gauge + Ripple-epoch offset), i.e. seconds since the last ledger closed.*\n\n###### Reading it:\n*A steady line near the network's target close interval.*\n\n###### Healthy range:\n*About 3-5s on mainnet; workload-dependent on test networks.*\n\n###### Watch for:\n*A rising interval (consensus slowing or the node lagging) or a flat line at zero (ledgers no longer closing).*\n\n###### Source:\n[MetricsRegistry.cpp](https://github.com/XRPLF/rippled/blob/develop/src/xrpld/telemetry/MetricsRegistry.cpp) \u00b7 [RCLConsensus.cpp](https://github.com/XRPLF/rippled/blob/develop/src/xrpld/app/consensus/RCLConsensus.cpp)\n\n###### Function:\n`registerServerInfoGauge (last_close_time) ; ledgers_closed_total`",
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"fieldConfig": {
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"defaults": {
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"color": {
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"mode": "palette-classic"
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},
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"custom": {
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"axisBorderShow": false,
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"axisCenteredZero": false,
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"axisColorMode": "text",
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"axisLabel": "Seconds",
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"axisPlacement": "auto",
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"barAlignment": 0,
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"barWidthFactor": 0.6,
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"drawStyle": "line",
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"fillOpacity": 10,
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"gradientMode": "none",
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"hideFrom": {
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"legend": false,
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"tooltip": false,
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"viz": false
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},
|
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"insertNulls": false,
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"lineInterpolation": "linear",
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"lineWidth": 2,
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"pointSize": 5,
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"scaleDistribution": {
|
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"type": "linear"
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},
|
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"showPoints": "auto",
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"showValues": false,
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"spanNulls": 1800000,
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"stacking": {
|
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"group": "A",
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"mode": "none"
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},
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"thresholdsStyle": {
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"mode": "off"
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}
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},
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"displayName": "${__field.labels.series} ${__field.labels.xrpl_ident}",
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"thresholds": {
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"mode": "absolute",
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"steps": [
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{
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"color": "green",
|
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"value": 0
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}
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]
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},
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"unit": "s"
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}
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},
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"gridPos": {
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"h": 12,
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"w": 12,
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"x": 12,
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"y": 236
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},
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"id": 128,
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"options": {
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"annotations": {
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"clustering": -1,
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"multiLane": false
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},
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"legend": {
|
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"calcs": [],
|
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"displayMode": "list",
|
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"enableFacetedFilter": false,
|
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"overflow": "ellipsis",
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"placement": "bottom",
|
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"showLegend": true
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},
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"tooltip": {
|
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"hideZeros": false,
|
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"maxHeight": 600,
|
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"mode": "multi",
|
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"sort": "desc"
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}
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},
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"pluginVersion": "13.2.0-28926505616",
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"targets": [
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{
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"datasource": {
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"type": "prometheus",
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"uid": "${DS_PROMETHEUS}"
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},
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"expr": "label_replace(label_join(label_replace(time() - (server_info{metric=\"last_close_time\", service_instance_id=~\"$node\", deployment_environment=~\"$deployment_environment\", xrpl_network_type=~\"$xrpl_network_type\", service_name=~\"$service_name\", xrpl_work_item=~\"$xrpl_work_item\", xrpl_branch=~\"$xrpl_branch\", xrpl_node_role=~\"$xrpl_node_role\"} + 946684800), \"series\", \"Last-Close Age (s)\", \"\", \"\"), \"xrpl_ident\", \", \", \"service_instance_id\", \"xrpl_branch\", \"xrpl_work_item\"), \"xrpl_ident\", \"[$1]\", \"xrpl_ident\", \"(?:, )*(.*[^, ])(?:, )*\")",
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"refId": "A"
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||||
},
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||||
{
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"datasource": {
|
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"type": "prometheus",
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"uid": "${DS_PROMETHEUS}"
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},
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"expr": "label_replace(label_join(label_replace(1 / sum by (service_instance_id, xrpl_branch, xrpl_node_role) (rate(ledgers_closed_total{service_instance_id=~\"$node\", deployment_environment=~\"$deployment_environment\", xrpl_network_type=~\"$xrpl_network_type\", service_name=~\"$service_name\", xrpl_work_item=~\"$xrpl_work_item\", xrpl_branch=~\"$xrpl_branch\", xrpl_node_role=~\"$xrpl_node_role\"}[$__rate_interval])), \"series\", \"Close Interval\", \"\", \"\"), \"xrpl_ident\", \", \", \"service_instance_id\", \"xrpl_branch\", \"xrpl_work_item\"), \"xrpl_ident\", \"[$1]\", \"xrpl_ident\", \"(?:, )*(.*[^, ])(?:, )*\")",
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"refId": "B"
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}
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],
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"title": "Ledger Close Interval & Age",
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"type": "timeseries"
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},
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{
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"datasource": {
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"type": "prometheus",
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@@ -150,6 +150,12 @@ connectors:
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- name: command
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- name: rpc_status
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- name: consensus_mode
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# Only the boolean close_time_correct is promoted, never the close_time
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# value itself: close_time is a monotonic NetClock timestamp, so a
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# dimension on it would mint a new metric series every ledger (unbounded
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# cardinality). The close-time value is exposed as the server_info
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# last_close_time gauge instead (for last-close age); the close interval
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# comes from the ledgers_closed_total counter.
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- name: close_time_correct
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- name: consensus_state
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- name: local
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@@ -129,6 +129,12 @@ connectors:
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- name: command
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- name: rpc_status
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- name: consensus_mode
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# Only the boolean close_time_correct is promoted, never the close_time
|
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# value itself: close_time is a monotonic NetClock timestamp, so a
|
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# dimension on it would mint a new metric series every ledger (unbounded
|
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# cardinality). The close-time value is exposed as the server_info
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# last_close_time gauge instead (for last-close age); the close interval
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# comes from the ledgers_closed_total counter.
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- name: close_time_correct
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- name: consensus_state
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- name: local
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@@ -761,28 +761,29 @@ The `OTelCollector` implementation exports metrics via OTLP/HTTP to the same OTe
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These gauges are exported via the OTel Metrics SDK `PeriodicMetricReader` (10s interval), NOT through beast::insight.
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| Prometheus Metric | Source | Description |
|
||||
| --------------------------------------------------- | ------------------- | ------------------------------------------------ |
|
||||
| `server_info{metric="server_state"}` | MetricsRegistry.cpp | Operating mode (0=DISCONNECTED .. 4=FULL) |
|
||||
| `server_info{metric="uptime"}` | MetricsRegistry.cpp | Seconds since server start |
|
||||
| `server_info{metric="peers"}` | MetricsRegistry.cpp | Total connected peers |
|
||||
| `server_info{metric="validated_ledger_seq"}` | MetricsRegistry.cpp | Validated ledger sequence number |
|
||||
| `server_info{metric="ledger_current_index"}` | MetricsRegistry.cpp | Current open ledger sequence |
|
||||
| `server_info{metric="peer_disconnects_resources"}` | MetricsRegistry.cpp | Cumulative resource-related peer disconnects |
|
||||
| `server_info{metric="last_close_proposers"}` | MetricsRegistry.cpp | Proposers in last closed round |
|
||||
| `server_info{metric="last_close_converge_time_ms"}` | MetricsRegistry.cpp | Last close convergence time (ms) |
|
||||
| `build_info{version="<ver>"}` | MetricsRegistry.cpp | Info-style metric (always 1) |
|
||||
| `complete_ledgers{bound="start\|end",index="<N>"}` | MetricsRegistry.cpp | Complete ledger range start/end pairs |
|
||||
| `db_metrics{metric="db_kb_total"}` | MetricsRegistry.cpp | Total database size (KB) |
|
||||
| `db_metrics{metric="db_kb_ledger"}` | MetricsRegistry.cpp | Ledger database size (KB) |
|
||||
| `db_metrics{metric="db_kb_transaction"}` | MetricsRegistry.cpp | Transaction database size (KB) |
|
||||
| `db_metrics{metric="historical_perminute"}` | MetricsRegistry.cpp | Historical ledger fetches per minute |
|
||||
| `cache_metrics{metric="AL_size"}` | MetricsRegistry.cpp | AcceptedLedger cache size |
|
||||
| `nodestore_state{metric="node_reads_duration_us"}` | MetricsRegistry.cpp | Cumulative read time (microseconds) |
|
||||
| `nodestore_state{metric="read_request_bundle"}` | MetricsRegistry.cpp | Read request bundle count |
|
||||
| `nodestore_state{metric="read_threads_running"}` | MetricsRegistry.cpp | Active read threads |
|
||||
| `nodestore_state{metric="read_threads_total"}` | MetricsRegistry.cpp | Total read threads configured |
|
||||
| `rpc_in_flight_requests` | PerfLogImp.cpp | RPC requests currently executing (UpDownCounter) |
|
||||
| Prometheus Metric | Source | Description |
|
||||
| --------------------------------------------------- | ------------------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
|
||||
| `server_info{metric="server_state"}` | MetricsRegistry.cpp | Operating mode (0=DISCONNECTED .. 4=FULL) |
|
||||
| `server_info{metric="uptime"}` | MetricsRegistry.cpp | Seconds since server start |
|
||||
| `server_info{metric="peers"}` | MetricsRegistry.cpp | Total connected peers |
|
||||
| `server_info{metric="validated_ledger_seq"}` | MetricsRegistry.cpp | Validated ledger sequence number |
|
||||
| `server_info{metric="ledger_current_index"}` | MetricsRegistry.cpp | Current open ledger sequence |
|
||||
| `server_info{metric="peer_disconnects_resources"}` | MetricsRegistry.cpp | Cumulative resource-related peer disconnects |
|
||||
| `server_info{metric="last_close_proposers"}` | MetricsRegistry.cpp | Proposers in last closed round |
|
||||
| `server_info{metric="last_close_converge_time_ms"}` | MetricsRegistry.cpp | Last close convergence time (ms) |
|
||||
| `server_info{metric="last_close_time"}` | MetricsRegistry.cpp | Network close time of last closed ledger (NetClock secs since Ripple epoch). Age = `time() - (value + 946684800)`; close interval = `1/rate(ledgers_closed_total)`, not a gauge delta |
|
||||
| `build_info{version="<ver>"}` | MetricsRegistry.cpp | Info-style metric (always 1) |
|
||||
| `complete_ledgers{bound="start\|end",index="<N>"}` | MetricsRegistry.cpp | Complete ledger range start/end pairs |
|
||||
| `db_metrics{metric="db_kb_total"}` | MetricsRegistry.cpp | Total database size (KB) |
|
||||
| `db_metrics{metric="db_kb_ledger"}` | MetricsRegistry.cpp | Ledger database size (KB) |
|
||||
| `db_metrics{metric="db_kb_transaction"}` | MetricsRegistry.cpp | Transaction database size (KB) |
|
||||
| `db_metrics{metric="historical_perminute"}` | MetricsRegistry.cpp | Historical ledger fetches per minute |
|
||||
| `cache_metrics{metric="AL_size"}` | MetricsRegistry.cpp | AcceptedLedger cache size |
|
||||
| `nodestore_state{metric="node_reads_duration_us"}` | MetricsRegistry.cpp | Cumulative read time (microseconds) |
|
||||
| `nodestore_state{metric="read_request_bundle"}` | MetricsRegistry.cpp | Read request bundle count |
|
||||
| `nodestore_state{metric="read_threads_running"}` | MetricsRegistry.cpp | Active read threads |
|
||||
| `nodestore_state{metric="read_threads_total"}` | MetricsRegistry.cpp | Total read threads configured |
|
||||
| `rpc_in_flight_requests` | PerfLogImp.cpp | RPC requests currently executing (UpDownCounter) |
|
||||
|
||||
#### Counters
|
||||
|
||||
@@ -990,16 +991,17 @@ Ten dashboards are pre-provisioned in `docker/telemetry/grafana/dashboards/`:
|
||||
|
||||
### Ledger Operations (`ledger-operations`)
|
||||
|
||||
| Panel | Type | PromQL | Labels Used |
|
||||
| ----------------------- | ---------- | ---------------------------------------------- | ----------- |
|
||||
| Ledger Build Rate | stat | `ledger.build` call rate | — |
|
||||
| Ledger Build Duration | timeseries | p95/p50 of `ledger.build` | — |
|
||||
| Ledger Validation Rate | stat | `ledger.validate` call rate | — |
|
||||
| Build Duration Heatmap | heatmap | `ledger.build` histogram buckets | `le` |
|
||||
| TX Apply Duration | timeseries | p95/p50 of `tx.apply` | — |
|
||||
| TX Apply Rate | timeseries | `tx.apply` call rate | — |
|
||||
| Ledger Store Rate | stat | `ledger.store` call rate | — |
|
||||
| Build vs Close Duration | timeseries | p95 `ledger.build` vs `consensus.ledger_close` | — |
|
||||
| Panel | Type | PromQL | Labels Used |
|
||||
| --------------------------- | ---------- | ---------------------------------------------------------------------------------------------------------------------------- | ----------- |
|
||||
| Ledger Build Rate | stat | `ledger.build` call rate | — |
|
||||
| Ledger Build Duration | timeseries | p95/p50 of `ledger.build` | — |
|
||||
| Ledger Validation Rate | stat | `ledger.validate` call rate | — |
|
||||
| Build Duration Heatmap | heatmap | `ledger.build` histogram buckets | `le` |
|
||||
| TX Apply Duration | timeseries | p95/p50 of `tx.apply` | — |
|
||||
| TX Apply Rate | timeseries | `tx.apply` call rate | — |
|
||||
| Ledger Store Rate | stat | `ledger.store` call rate | — |
|
||||
| Build vs Close Duration | timeseries | p95 `ledger.build` vs `consensus.round` (full round, not `consensus.ledger_close` which is only the sub-ms onClose prologue) | — |
|
||||
| Ledger Close Interval & Age | timeseries | Interval: `1/rate(ledgers_closed_total)`; Age: `time() - (server_info{metric="last_close_time"} + 946684800)` | — |
|
||||
|
||||
### Peer Network (`peer-network`)
|
||||
|
||||
|
||||
@@ -848,6 +848,22 @@ MetricsRegistry::registerServerInfoGauge()
|
||||
"last_close_converge_time_ms",
|
||||
static_cast<int64_t>(consensusInfo["previous_mseconds"].asUInt()));
|
||||
}
|
||||
|
||||
// Network close time of the last closed ledger, as NetClock
|
||||
// seconds since the Ripple epoch (2000-01-01). Unlike a span
|
||||
// timestamp, a gauge value survives as a queryable time series,
|
||||
// so dashboards can show last-close age (staleness) via
|
||||
// now - value. The close interval comes from the
|
||||
// ledgers_closed_total counter, not a delta of this gauge
|
||||
// (a timestamp gauge's delta aliases to the scrape period).
|
||||
// Skip until a ledger has closed.
|
||||
if (auto const closed = app.getLedgerMaster().getClosedLedger())
|
||||
{
|
||||
observe(
|
||||
"last_close_time",
|
||||
static_cast<int64_t>(
|
||||
closed->header().closeTime.time_since_epoch().count()));
|
||||
}
|
||||
}
|
||||
catch (...) // NOLINT(bugprone-empty-catch)
|
||||
{
|
||||
|
||||
Reference in New Issue
Block a user