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fix(telemetry): remove misleading stacked load-factor attribution panel
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
This commit is contained in:
Pratik Mankawde
@@ -305,12 +305,12 @@
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}
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},
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{
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"title": "Load Factor Attribution (Stacked Components)",
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"description": "###### What this is:\n*The stacked contribution of each load-factor component (fee escalation, queue, local, net, cluster) to the effective transaction cost.*\n\n###### How it's computed:\n*Instantaneous gauge readings of each component stacked to show relative share.*\n\n###### Reading it:\n*The tallest band identifies which component is driving the fee, detail the aggregate load factor hides.*\n\n###### Healthy range:\n*Thin bands near 1.0 total under normal traffic.*\n\n###### Watch for:\n*One band dominating during a fee spike, revealing the specific driver of elevated cost.*\n\n###### Source:\n[MetricsRegistry.cpp](https://github.com/XRPLF/rippled/blob/develop/src/xrpld/telemetry/MetricsRegistry.cpp)\n\n###### Function:\n`registerLoadFactorGauge`",
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"title": "Queue Abandonment Rate (Expired)",
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"description": "###### What this is:\n*Transactions dropped from the queue because their last-ledger deadline passed before they could be included.*\n\n###### How it's computed:\n*Per-second rate of the cumulative expired-transaction counter over the dashboard's rate interval.*\n\n###### Reading it:\n*Near zero is healthy; a rising rate means submitters under-bid the escalating fee and their transactions timed out.*\n\n###### Healthy range:\n*Near 0 expirations per second.*\n\n###### Watch for:\n*Sustained expiry rate, a demand-frustration signal often coinciding with fee spikes or spam that crowds out honest traffic.*\n\n###### Source:\n[MetricsRegistry.cpp](https://github.com/XRPLF/rippled/blob/develop/src/xrpld/telemetry/MetricsRegistry.cpp)\n\n###### Function:\n`incrementTxqExpired (caller TxQ.cpp)`",
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"type": "timeseries",
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"gridPos": {
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"h": 8,
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"w": 24,
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"w": 12,
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"x": 0,
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"y": 24
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},
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@@ -325,79 +325,7 @@
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"datasource": {
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"type": "prometheus"
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},
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"expr": "load_factor_metrics{metric=\"load_factor_fee_escalation\",service_instance_id=~\"$node\", deployment_environment=~\"$deployment_environment\", xrpl_network_type=~\"$xrpl_network_type\", service_name=~\"$service_name\"}",
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"legendFormat": "Fee Escalation [{{service_instance_id}}]"
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},
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{
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"datasource": {
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"type": "prometheus"
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},
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"expr": "load_factor_metrics{metric=\"load_factor_fee_queue\",service_instance_id=~\"$node\", deployment_environment=~\"$deployment_environment\", xrpl_network_type=~\"$xrpl_network_type\", service_name=~\"$service_name\"}",
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"legendFormat": "Fee Queue [{{service_instance_id}}]"
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},
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{
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"datasource": {
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"type": "prometheus"
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},
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"expr": "load_factor_metrics{metric=\"load_factor_local\",service_instance_id=~\"$node\", deployment_environment=~\"$deployment_environment\", xrpl_network_type=~\"$xrpl_network_type\", service_name=~\"$service_name\"}",
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"legendFormat": "Local [{{service_instance_id}}]"
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},
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{
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"datasource": {
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"type": "prometheus"
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},
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"expr": "load_factor_metrics{metric=\"load_factor_net\",service_instance_id=~\"$node\", deployment_environment=~\"$deployment_environment\", xrpl_network_type=~\"$xrpl_network_type\", service_name=~\"$service_name\"}",
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"legendFormat": "Net [{{service_instance_id}}]"
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},
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{
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"datasource": {
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"type": "prometheus"
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},
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"expr": "load_factor_metrics{metric=\"load_factor_cluster\",service_instance_id=~\"$node\", deployment_environment=~\"$deployment_environment\", xrpl_network_type=~\"$xrpl_network_type\", service_name=~\"$service_name\"}",
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"legendFormat": "Cluster [{{service_instance_id}}]"
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}
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],
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"fieldConfig": {
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"defaults": {
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"unit": "none",
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"custom": {
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"axisLabel": "Load Factor Multiplier",
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"spanNulls": true,
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"insertNulls": false,
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"showPoints": "auto",
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"pointSize": 3,
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"stacking": {
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"mode": "normal",
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"group": "A"
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},
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"fillOpacity": 30
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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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"title": "Queue Abandonment Rate (Expired)",
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"description": "###### What this is:\n*Transactions dropped from the queue because their last-ledger deadline passed before they could be included.*\n\n###### How it's computed:\n*Per-second rate of the cumulative expired-transaction counter over a 5-minute window.*\n\n###### Reading it:\n*Near zero is healthy; a rising rate means submitters under-bid the escalating fee and their transactions timed out.*\n\n###### Healthy range:\n*Near 0 expirations per second.*\n\n###### Watch for:\n*Sustained expiry rate, a demand-frustration signal often coinciding with fee spikes or spam that crowds out honest traffic.*\n\n###### Source:\n[MetricsRegistry.cpp](https://github.com/XRPLF/rippled/blob/develop/src/xrpld/telemetry/MetricsRegistry.cpp)\n\n###### Function:\n`incrementTxqExpired (caller TxQ.cpp)`",
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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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"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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},
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"expr": "sum by (service_instance_id) (rate(txq_expired_total{service_instance_id=~\"$node\", deployment_environment=~\"$deployment_environment\", xrpl_network_type=~\"$xrpl_network_type\", service_name=~\"$service_name\"}[5m]))",
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"expr": "sum by (service_instance_id) (rate(txq_expired_total{service_instance_id=~\"$node\", deployment_environment=~\"$deployment_environment\", xrpl_network_type=~\"$xrpl_network_type\", service_name=~\"$service_name\"}[$__rate_interval]))",
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"legendFormat": "Expired / Sec [{{service_instance_id}}]"
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}
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],
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@@ -417,13 +345,13 @@
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},
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{
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"title": "Queue Admission Rejections (Dropped)",
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"description": "###### What this is:\n*Transactions refused entry to the queue, broken down by reason such as queue_full.*\n\n###### How it's computed:\n*Per-second rate of the cumulative dropped-transaction counter over a 5-minute window, split by reason.*\n\n###### Reading it:\n*Near zero is healthy; queue_full rejections mean the queue is at capacity and applying backpressure.*\n\n###### Healthy range:\n*Near 0 rejections per second.*\n\n###### Watch for:\n*A burst of queue_full drops, distinct from expiry, indicating the node is being flooded faster than it can drain.*\n\n###### Source:\n[MetricsRegistry.cpp](https://github.com/XRPLF/rippled/blob/develop/src/xrpld/telemetry/MetricsRegistry.cpp)\n\n###### Function:\n`incrementTxqDropped (caller TxQ.cpp)`",
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"description": "###### What this is:\n*Transactions refused entry to the queue, broken down by reason such as queue_full.*\n\n###### How it's computed:\n*Per-second rate of the cumulative dropped-transaction counter over the dashboard's rate interval, split by reason.*\n\n###### Reading it:\n*Near zero is healthy; queue_full rejections mean the queue is at capacity and applying backpressure.*\n\n###### Healthy range:\n*Near 0 rejections per second.*\n\n###### Watch for:\n*A burst of queue_full drops, distinct from expiry, indicating the node is being flooded faster than it can drain.*\n\n###### Source:\n[MetricsRegistry.cpp](https://github.com/XRPLF/rippled/blob/develop/src/xrpld/telemetry/MetricsRegistry.cpp)\n\n###### Function:\n`incrementTxqDropped (caller TxQ.cpp)`",
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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": 12,
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"y": 32
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"y": 24
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},
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"options": {
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"tooltip": {
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@@ -436,7 +364,7 @@
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"datasource": {
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"type": "prometheus"
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},
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"expr": "sum by (reason, service_instance_id) (rate(txq_dropped_total{service_instance_id=~\"$node\", deployment_environment=~\"$deployment_environment\", xrpl_network_type=~\"$xrpl_network_type\", service_name=~\"$service_name\"}[5m]))",
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"expr": "sum by (reason, service_instance_id) (rate(txq_dropped_total{service_instance_id=~\"$node\", deployment_environment=~\"$deployment_environment\", xrpl_network_type=~\"$xrpl_network_type\", service_name=~\"$service_name\"}[$__rate_interval]))",
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"legendFormat": "{{reason}} [{{service_instance_id}}]"
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}
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],
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