mirror of
https://github.com/XRPLF/rippled.git
synced 2026-08-21 14:20:56 +00:00
Merge branch 'pratik/otel-phase10-workload-validation' into pratik/otel-sync-diagnostics
This commit is contained in:
Pratik Mankawde
@@ -465,7 +465,7 @@
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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*Latency of the I/O service loop, at the 95th percentile in milliseconds.*\n\n###### How it's computed:\n*I/O loop latency samples aggregated to their 95th percentile per node over a 5-minute window.*\n\n###### Reading it:\n*Lower is better; it reflects how promptly queued I/O work runs.*\n\n###### Healthy range:\n*A few milliseconds; brief spikes are tolerable.*\n\n###### Watch for:\n*Sustained values above a few hundred ms indicate thread-pool saturation or blocking operations.*\n\n###### Source:\n[Application.cpp](https://github.com/XRPLF/rippled/blob/develop/src/xrpld/app/main/Application.cpp)\n\n###### Function:\n`ApplicationImp`",
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"description": "###### What this is:\n*Latency of the I/O service loop, at the 95th percentile in milliseconds.*\n\n###### How it's computed:\n*I/O loop latency samples aggregated to their 95th percentile per node over a 5-minute window.*\n\n###### Reading it:\n*Lower is better; it reflects how promptly queued I/O work runs.*\n\n###### Healthy range:\n*A few milliseconds; brief spikes are tolerable.*\n\n###### Watch for:\n*Sustained values above a few hundred ms indicate thread-pool saturation or blocking operations.*\n\n###### Keywords:\n- **I/O scheduler** *(per node)* \u2014 the queue that serializes NodeStore disk reads and writes.\n- **NodeStore** *(per node)* \u2014 the key-value object store holding ledger data (tree nodes), backed by NuDB.\n\n###### Computation boundary:\n*Result: Per node \u2014 each series is one server's own value.*\n*Recorded in xrpld code as a native metric (beast::insight); the collector only forwards it; the Grafana query selects and aggregates it.*\n\n###### Source:\n[Application.cpp](https://github.com/XRPLF/rippled/blob/develop/src/xrpld/app/main/Application.cpp)\n\n###### Function:\n`ApplicationImp`\n\n###### References:\n[Telemetry glossary](https://github.com/XRPLF/rippled/blob/develop/docs/telemetry-glossary.md#nodestore)",
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"fieldConfig": {
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"defaults": {
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"color": {
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@@ -1883,7 +1883,7 @@
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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*Number of jobs currently waiting in the internal work queue.*\n\n###### How it's computed:\n*Current value of the job-count gauge, plotted over time.*\n\n###### Reading it:\n*Lower is better; a near-flat low line means the node keeps up with its workload.*\n\n###### Healthy range:\n*Low single digits at idle, brief bumps under load.*\n\n###### Watch for:\n*A sustained high depth means the node cannot process work fast enough, common during replay, heavy RPC, or a request flood.*\n\n###### Source:\n[JobQueue.cpp](https://github.com/XRPLF/rippled/blob/develop/src/libxrpl/core/detail/JobQueue.cpp)\n\n###### Function:\n`JobQueue`",
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"description": "###### What this is:\n*Number of jobs currently waiting in the internal work queue.*\n\n###### How it's computed:\n*Current value of the job-count gauge, plotted over time.*\n\n###### Reading it:\n*Lower is better; a near-flat low line means the node keeps up with its workload.*\n\n###### Healthy range:\n*Low single digits at idle, brief bumps under load.*\n\n###### Watch for:\n*A sustained high depth means the node cannot process work fast enough, common during replay, heavy RPC, or a request flood.*\n\n###### Keywords:\n- **Job queue / job type** *(per node)* \u2014 xrpld's worker-thread pool; every unit of background work is enqueued under a named job type.\n- **Deferred job** *(per node)* \u2014 a job held back because its type is already at its concurrency limit; the leading indicator of queue backpressure.\n\n###### Computation boundary:\n*Result: Per node \u2014 each series is one server's own value.*\n*Recorded in xrpld code as a native metric (beast::insight); the collector only forwards it; the Grafana query selects and aggregates it.*\n\n###### Source:\n[JobQueue.cpp](https://github.com/XRPLF/rippled/blob/develop/src/libxrpl/core/detail/JobQueue.cpp)\n\n###### Function:\n`JobQueue`\n\n###### References:\n[Job queue / job type](https://github.com/XRPLF/rippled/blob/develop/docs/telemetry-glossary.md#job-queue-job-type) \u00b7 [Telemetry glossary](https://github.com/XRPLF/rippled/blob/develop/docs/telemetry-glossary.md)",
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"fieldConfig": {
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"defaults": {
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"color": {
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@@ -1986,7 +1986,7 @@
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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*Execution time for the most critical job types at the selected quantile.*\n\n###### How it's computed:\n*Per-job-type execution durations aggregated to the chosen quantile per node over a 5-minute window.*\n\n###### Reading it:\n*Lower is better; each line is one job type's run time.*\n\n###### Healthy range:\n*A few to tens of milliseconds for most jobs; workload-dependent.*\n\n###### Watch for:\n*Spikes on key jobs (accept, transaction, write) indicate processing bottlenecks.*\n\n###### Source:\n[JobTypeData.h](https://github.com/XRPLF/rippled/blob/develop/include/xrpl/core/JobTypeData.h)\n\n###### Function:\n`JobTypeData`",
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"description": "###### What this is:\n*Execution time for the most critical job types at the selected quantile.*\n\n###### How it's computed:\n*Per-job-type execution durations aggregated to the chosen quantile per node over a 5-minute window.*\n\n###### Reading it:\n*Lower is better; each line is one job type's run time.*\n\n###### Healthy range:\n*A few to tens of milliseconds for most jobs; workload-dependent.*\n\n###### Watch for:\n*Spikes on key jobs (accept, transaction, write) indicate processing bottlenecks.*\n\n###### Keywords:\n- **Job queue / job type** *(per node)* \u2014 xrpld's worker-thread pool; every unit of background work is enqueued under a named job type.\n\n###### Computation boundary:\n*Result: Per node \u2014 each series is one server's own value.*\n*Recorded in xrpld code as a native metric (beast::insight); the collector only forwards it; the Grafana query selects and aggregates it.*\n\n###### Source:\n[JobTypeData.h](https://github.com/XRPLF/rippled/blob/develop/include/xrpl/core/JobTypeData.h)\n\n###### Function:\n`JobTypeData`\n\n###### References:\n[Job queue / job type](https://github.com/XRPLF/rippled/blob/develop/docs/telemetry-glossary.md#job-queue-job-type) \u00b7 [Telemetry glossary](https://github.com/XRPLF/rippled/blob/develop/docs/telemetry-glossary.md)",
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"fieldConfig": {
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"defaults": {
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"color": {
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@@ -2169,7 +2169,7 @@
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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*Time critical jobs wait in the queue before running, at the selected quantile.*\n\n###### How it's computed:\n*Per-job-type queue-wait durations aggregated to the chosen quantile per node over a 5-minute window.*\n\n###### Reading it:\n*Lower is better; each line is one job type's wait time.*\n\n###### Healthy range:\n*Near zero to a few milliseconds when the queue is keeping up.*\n\n###### Watch for:\n*High waits mean the queue is backlogged and jobs are scheduled late.*\n\n###### Source:\n[JobTypeData.h](https://github.com/XRPLF/rippled/blob/develop/include/xrpl/core/JobTypeData.h)\n\n###### Function:\n`JobTypeData`",
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"description": "###### What this is:\n*Time critical jobs wait in the queue before running, at the selected quantile.*\n\n###### How it's computed:\n*Per-job-type queue-wait durations aggregated to the chosen quantile per node over a 5-minute window.*\n\n###### Reading it:\n*Lower is better; each line is one job type's wait time.*\n\n###### Healthy range:\n*Near zero to a few milliseconds when the queue is keeping up.*\n\n###### Watch for:\n*High waits mean the queue is backlogged and jobs are scheduled late.*\n\n###### Keywords:\n- **Job queue / job type** *(per node)* \u2014 xrpld's worker-thread pool; every unit of background work is enqueued under a named job type.\n- **Deferred job** *(per node)* \u2014 a job held back because its type is already at its concurrency limit; the leading indicator of queue backpressure.\n\n###### Computation boundary:\n*Result: Per node \u2014 each series is one server's own value.*\n*Recorded in xrpld code as a native metric (beast::insight); the collector only forwards it; the Grafana query selects and aggregates it.*\n\n###### Source:\n[JobTypeData.h](https://github.com/XRPLF/rippled/blob/develop/include/xrpl/core/JobTypeData.h)\n\n###### Function:\n`JobTypeData`\n\n###### References:\n[Deferred job](https://github.com/XRPLF/rippled/blob/develop/docs/telemetry-glossary.md#deferred-job) \u00b7 [Telemetry glossary](https://github.com/XRPLF/rippled/blob/develop/docs/telemetry-glossary.md)",
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"fieldConfig": {
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"defaults": {
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"color": {
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@@ -2352,7 +2352,7 @@
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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*Execution time for every non-special job type at the selected quantile.*\n\n###### How it's computed:\n*Per-job-type execution durations aggregated to the chosen quantile per node over a 5-minute window.*\n\n###### Reading it:\n*Lower is better; this is the full picture behind the Key Jobs view.*\n\n###### Healthy range:\n*A few to tens of milliseconds for most jobs.*\n\n###### Watch for:\n*Broad elevation across many job types indicates systemic processing load.*\n\n###### Source:\n[JobTypeData.h](https://github.com/XRPLF/rippled/blob/develop/include/xrpl/core/JobTypeData.h)\n\n###### Function:\n`JobTypeData`",
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"description": "###### What this is:\n*Execution time for every non-special job type at the selected quantile.*\n\n###### How it's computed:\n*Per-job-type execution durations aggregated to the chosen quantile per node over a 5-minute window.*\n\n###### Reading it:\n*Lower is better; this is the full picture behind the Key Jobs view.*\n\n###### Healthy range:\n*A few to tens of milliseconds for most jobs.*\n\n###### Watch for:\n*Broad elevation across many job types indicates systemic processing load.*\n\n###### Keywords:\n- **Job queue / job type** *(per node)* \u2014 xrpld's worker-thread pool; every unit of background work is enqueued under a named job type.\n\n###### Computation boundary:\n*Result: Per node \u2014 each series is one server's own value.*\n*Recorded in xrpld code as a native metric (beast::insight); the collector only forwards it; the Grafana query selects and aggregates it.*\n\n###### Source:\n[JobTypeData.h](https://github.com/XRPLF/rippled/blob/develop/include/xrpl/core/JobTypeData.h)\n\n###### Function:\n`JobTypeData`\n\n###### References:\n[Job queue / job type](https://github.com/XRPLF/rippled/blob/develop/docs/telemetry-glossary.md#job-queue-job-type) \u00b7 [Telemetry glossary](https://github.com/XRPLF/rippled/blob/develop/docs/telemetry-glossary.md)",
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"fieldConfig": {
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"defaults": {
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"color": {
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@@ -2455,7 +2455,7 @@
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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*Queue wait time for every non-special job type at the selected quantile.*\n\n###### How it's computed:\n*Per-job-type queue-wait durations aggregated to the chosen quantile per node over a 5-minute window.*\n\n###### Reading it:\n*Lower is better; this is the full picture behind the Key Jobs wait view.*\n\n###### Healthy range:\n*Near zero to a few milliseconds when the queue keeps up.*\n\n###### Watch for:\n*High waits across many job types indicate systemic queue congestion.*\n\n###### Source:\n[JobTypeData.h](https://github.com/XRPLF/rippled/blob/develop/include/xrpl/core/JobTypeData.h)\n\n###### Function:\n`JobTypeData`",
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"description": "###### What this is:\n*Queue wait time for every non-special job type at the selected quantile.*\n\n###### How it's computed:\n*Per-job-type queue-wait durations aggregated to the chosen quantile per node over a 5-minute window.*\n\n###### Reading it:\n*Lower is better; this is the full picture behind the Key Jobs wait view.*\n\n###### Healthy range:\n*Near zero to a few milliseconds when the queue keeps up.*\n\n###### Watch for:\n*High waits across many job types indicate systemic queue congestion.*\n\n###### Keywords:\n- **Job queue / job type** *(per node)* \u2014 xrpld's worker-thread pool; every unit of background work is enqueued under a named job type.\n- **Deferred job** *(per node)* \u2014 a job held back because its type is already at its concurrency limit; the leading indicator of queue backpressure.\n\n###### Computation boundary:\n*Result: Per node \u2014 each series is one server's own value.*\n*Recorded in xrpld code as a native metric (beast::insight); the collector only forwards it; the Grafana query selects and aggregates it.*\n\n###### Source:\n[JobTypeData.h](https://github.com/XRPLF/rippled/blob/develop/include/xrpl/core/JobTypeData.h)\n\n###### Function:\n`JobTypeData`\n\n###### References:\n[Deferred job](https://github.com/XRPLF/rippled/blob/develop/docs/telemetry-glossary.md#deferred-job) \u00b7 [Telemetry glossary](https://github.com/XRPLF/rippled/blob/develop/docs/telemetry-glossary.md)",
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"fieldConfig": {
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"defaults": {
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"color": {
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@@ -3018,7 +3018,7 @@
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"type": "prometheus",
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"uid": "${DS_PROMETHEUS}"
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},
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"description": "Current state of each XRPL node. Green = FULL (healthy); orange/yellow = syncing in progress; red = disconnected.\n\n###### Keywords:\n- **Operating mode / server state** *(per node)* \u2014 the node's sync level: Disconnected, Connected, Syncing, Tracking, Full (and Validating/Proposing).\n\n###### Computation boundary:\n*Result: Per node \u2014 each series is one server's own value.*\n*Computed in xrpld code (MetricsRegistry, OpenTelemetry SDK) and exported as a metric; the collector only forwards it; the Grafana query selects and aggregates it.*\n\n###### References:\n[Operating mode / server state](https://xrpl.org/docs/references/http-websocket-apis/api-conventions/xrpld-server-states) \u00b7 [Telemetry glossary](https://github.com/XRPLF/rippled/blob/develop/docs/telemetry-glossary.md#operating-mode-server-state)",
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"description": "###### What this is:\n*Which sync state each node is in right now: Disconnected, Connected, Syncing, Tracking or Full. Only a Full node holds the current validated ledger and can answer authoritatively.*\n\n###### How it's computed:\n*The `server_state` gauge, the node's operating mode as an integer 0-4, value-mapped to a name and colour: 0 Disconnected (red), 1 Connected (yellow), 2 Syncing (orange), 3 Tracking (blue), 4 Full (green). No rate or aggregation \u2014 it is the instantaneous state.*\n\n###### Reading it:\n*One tile per node. Green FULL is the steady state; any other colour says the node is not yet serving the current ledger and how far along it is.*\n\n###### Healthy range:\n*FULL on every node.*\n\n###### Watch for:\n*A node leaving FULL and staying out, or flapping between TRACKING and FULL \u2014 that points at ledger acquisition falling behind rather than a connectivity fault. Cross-check Operating Mode (Time Share) and Validated Ledger Age.*\n\n###### Keywords:\n- **Operating mode / server state** *(per node)* \u2014 the node's sync level: Disconnected, Connected, Syncing, Tracking, Full (and Validating/Proposing).\n\n###### Computation boundary:\n*Result: Per node \u2014 each series is one server's own value.*\n*Computed in xrpld code (MetricsRegistry, OpenTelemetry SDK) and exported as a metric; the collector only forwards it; the Grafana query selects and aggregates it.*\n\n###### Source:\n[MetricsRegistry.cpp](https://github.com/XRPLF/rippled/blob/develop/src/xrpld/telemetry/MetricsRegistry.cpp)\n\n###### Function:\n`registerServerInfoGauge`\n\n###### References:\n[Operating mode / server state](https://xrpl.org/docs/references/http-websocket-apis/api-conventions/xrpld-server-states) \u00b7 [Telemetry glossary](https://github.com/XRPLF/rippled/blob/develop/docs/telemetry-glossary.md#operating-mode-server-state)",
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"fieldConfig": {
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"defaults": {
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"color": {
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@@ -3191,7 +3191,7 @@
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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*How long the server process has been running, in seconds.*\n\n###### How it's computed:\n*Current value of the uptime gauge.*\n\n###### Reading it:\n*Higher is generally better; a reset to a small value means the process restarted.*\n\n###### Healthy range:\n*Continuously increasing.*\n\n###### Watch for:\n*An unexpected drop to near zero indicates a restart or crash.*\n\n###### Source:\n[MetricsRegistry.cpp](https://github.com/XRPLF/rippled/blob/develop/src/xrpld/telemetry/MetricsRegistry.cpp)\n\n###### Function:\n`registerServerInfoGauge`",
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"description": "###### What this is:\n*How long the server process has been running, in seconds.*\n\n###### How it's computed:\n*Current value of the uptime gauge.*\n\n###### Reading it:\n*Higher is generally better; a reset to a small value means the process restarted.*\n\n###### Healthy range:\n*Continuously increasing.*\n\n###### Watch for:\n*An unexpected drop to near zero indicates a restart or crash.*\n\n###### Keywords:\n- **Uptime** *(per node)* \u2014 seconds since the server process started.\n\n###### Computation boundary:\n*Result: Per node \u2014 each series is one server's own value.*\n*Computed in xrpld code (MetricsRegistry, OpenTelemetry SDK) and exported as a metric; the collector only forwards it; the Grafana query selects and aggregates it.*\n\n###### Source:\n[MetricsRegistry.cpp](https://github.com/XRPLF/rippled/blob/develop/src/xrpld/telemetry/MetricsRegistry.cpp)\n\n###### Function:\n`registerServerInfoGauge`\n\n###### References:\n[Telemetry glossary](https://github.com/XRPLF/rippled/blob/develop/docs/telemetry-glossary.md)",
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"fieldConfig": {
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"defaults": {
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"color": {
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@@ -3253,7 +3253,7 @@
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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*Total connected peers, inbound plus outbound.*\n\n###### How it's computed:\n*Current value of the peer-count gauge.*\n\n###### Reading it:\n*A stable count in the healthy range is good; too few limits connectivity.*\n\n###### Healthy range:\n*Workload- and config-dependent, typically 10 or more.*\n\n###### Watch for:\n*A sudden drop points to network or connectivity problems; an unusually high inbound count can indicate connection-flood pressure.*\n\n###### Source:\n[MetricsRegistry.cpp](https://github.com/XRPLF/rippled/blob/develop/src/xrpld/telemetry/MetricsRegistry.cpp)\n\n###### Function:\n`registerServerInfoGauge`",
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"description": "###### What this is:\n*Total connected peers, inbound plus outbound.*\n\n###### How it's computed:\n*Current value of the peer-count gauge.*\n\n###### Reading it:\n*A stable count in the healthy range is good; too few limits connectivity.*\n\n###### Healthy range:\n*Workload- and config-dependent, typically 10 or more.*\n\n###### Watch for:\n*A sudden drop points to network or connectivity problems; an unusually high inbound count can indicate connection-flood pressure.*\n\n###### Keywords:\n- **Peer** *(per node)* \u2014 another server this node holds a protocol connection to.\n\n###### Computation boundary:\n*Result: Per node \u2014 each series is one server's own value.*\n*Computed in xrpld code (MetricsRegistry, OpenTelemetry SDK) and exported as a metric; the collector only forwards it; the Grafana query selects and aggregates it.*\n\n###### Source:\n[MetricsRegistry.cpp](https://github.com/XRPLF/rippled/blob/develop/src/xrpld/telemetry/MetricsRegistry.cpp)\n\n###### Function:\n`registerServerInfoGauge`\n\n###### References:\n[Telemetry glossary](https://github.com/XRPLF/rippled/blob/develop/docs/telemetry-glossary.md)",
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"fieldConfig": {
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"defaults": {
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"color": {
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@@ -3550,7 +3550,7 @@
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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 running server's build version string.*\n\n###### How it's computed:\n*Read from the version label of the build-info metric (its value is always 1).*\n\n###### Reading it:\n*Confirms which version each node is running.*\n\n###### Healthy range:\n*The expected release version across all nodes.*\n\n###### Watch for:\n*A node on an unexpected or mismatched version in a fleet.*\n\n###### Source:\n[MetricsRegistry.cpp](https://github.com/XRPLF/rippled/blob/develop/src/xrpld/telemetry/MetricsRegistry.cpp)\n\n###### Function:\n`registerBuildInfoGauge`",
|
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"description": "###### What this is:\n*The running server's build version string.*\n\n###### How it's computed:\n*Read from the version label of the build-info metric (its value is always 1).*\n\n###### Reading it:\n*Confirms which version each node is running.*\n\n###### Healthy range:\n*The expected release version across all nodes.*\n\n###### Watch for:\n*A node on an unexpected or mismatched version in a fleet.*\n\n###### Keywords:\n- **Build version** *(per node)* \u2014 the xrpld release the process is running.\n\n###### Computation boundary:\n*Result: Per node \u2014 each series is one server's own value.*\n*Computed in xrpld code (MetricsRegistry, OpenTelemetry SDK) and exported as a metric; the collector only forwards it; the Grafana query selects and aggregates it.*\n\n###### Source:\n[MetricsRegistry.cpp](https://github.com/XRPLF/rippled/blob/develop/src/xrpld/telemetry/MetricsRegistry.cpp)\n\n###### Function:\n`registerBuildInfoGauge`\n\n###### References:\n[Telemetry glossary](https://github.com/XRPLF/rippled/blob/develop/docs/telemetry-glossary.md)",
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"fieldConfig": {
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"defaults": {
|
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"thresholds": {
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@@ -4053,7 +4053,7 @@
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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*Live instance counts for the busiest internal object types.*\n\n###### How it's computed:\n*Current per-type instance counts, showing the top 15 types over time.*\n\n###### Reading it:\n*Stable lines are healthy; each line is one object type's live count.*\n\n###### Healthy range:\n*Steady counts that rise and fall with load.*\n\n###### Watch for:\n*A single type climbing without bound suggests memory pressure or a leak.*\n\n###### Source:\n[MetricsRegistry.cpp](https://github.com/XRPLF/rippled/blob/develop/src/xrpld/telemetry/MetricsRegistry.cpp)\n\n###### Function:\n`registerObjectCountGauge`",
|
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"description": "###### What this is:\n*Live instance counts for the busiest internal object types.*\n\n###### How it's computed:\n*Current per-type instance counts, showing the top 15 types over time.*\n\n###### Reading it:\n*Stable lines are healthy; each line is one object type's live count.*\n\n###### Healthy range:\n*Steady counts that rise and fall with load.*\n\n###### Watch for:\n*A single type climbing without bound suggests memory pressure or a leak.*\n\n###### Keywords:\n- **Object instance count** *(per node)* \u2014 live in-memory instances of a tracked C++ type, used to spot leaks.\n\n###### Computation boundary:\n*Result: Per node \u2014 each series is one server's own value.*\n*Computed in xrpld code (MetricsRegistry, OpenTelemetry SDK) and exported as a metric; the collector only forwards it; the Grafana query selects and aggregates it.*\n\n###### Source:\n[MetricsRegistry.cpp](https://github.com/XRPLF/rippled/blob/develop/src/xrpld/telemetry/MetricsRegistry.cpp)\n\n###### Function:\n`registerObjectCountGauge`\n\n###### References:\n[Telemetry glossary](https://github.com/XRPLF/rippled/blob/develop/docs/telemetry-glossary.md)",
|
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"fieldConfig": {
|
||||
"defaults": {
|
||||
"color": {
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@@ -4231,7 +4231,7 @@
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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*Sizes of the relational databases in KB (total, ledger, transaction).*\n\n###### How it's computed:\n*Current values of the per-database size gauges, plotted as lines.*\n\n###### Reading it:\n*Smoothly growing lines are normal; the split shows where storage is used.*\n\n###### Healthy range:\n*Gradual growth consistent with retained history.*\n\n###### Watch for:\n*An abrupt change in growth rate can indicate storage pressure or a pruning issue.*\n\n###### Source:\n[MetricsRegistry.cpp](https://github.com/XRPLF/rippled/blob/develop/src/xrpld/telemetry/MetricsRegistry.cpp)\n\n###### Function:\n`registerDbMetricsGauge`",
|
||||
"description": "###### What this is:\n*Sizes of the relational databases in KB (total, ledger, transaction).*\n\n###### How it's computed:\n*Current values of the per-database size gauges, plotted as lines.*\n\n###### Reading it:\n*Smoothly growing lines are normal; the split shows where storage is used.*\n\n###### Healthy range:\n*Gradual growth consistent with retained history.*\n\n###### Watch for:\n*An abrupt change in growth rate can indicate storage pressure or a pruning issue.*\n\n###### Keywords:\n- **NodeStore** *(per node)* \u2014 the key-value object store holding ledger data (tree nodes), backed by NuDB.\n\n###### Computation boundary:\n*Result: Per node \u2014 each series is one server's own value.*\n*Computed in xrpld code (MetricsRegistry, OpenTelemetry SDK) and exported as a metric; the collector only forwards it; the Grafana query selects and aggregates it.*\n\n###### Source:\n[MetricsRegistry.cpp](https://github.com/XRPLF/rippled/blob/develop/src/xrpld/telemetry/MetricsRegistry.cpp)\n\n###### Function:\n`registerDbMetricsGauge`\n\n###### References:\n[Telemetry glossary](https://github.com/XRPLF/rippled/blob/develop/docs/telemetry-glossary.md#nodestore)",
|
||||
"fieldConfig": {
|
||||
"defaults": {
|
||||
"color": {
|
||||
|
||||
Reference in New Issue
Block a user