825f8fc7ff
Fix span: 0 bug and panel ordering in v16 dashboard migration Fix span: 0 handling to match frontend behavior by defaulting to DEFAULT_PANEL_SPAN. Fix panel ordering issue by using stable sort instead of unstable sort. Fix collapsed property handling to only set when input row has collapse property. Add comprehensive test cases for span: 0 bug and collapsed property behavior. Add sanitized test input file for span: 0 demo dashboard with generic values instead of internal Grafana infrastructure references. All backend migration tests and frontend comparison tests pass.
688 lines
21 KiB
JSON
688 lines
21 KiB
JSON
{
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"__requires": [
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{
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"id": "grafana",
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"name": "Grafana",
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"type": "grafana",
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"version": "8.0.0"
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}
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],
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"annotations": {
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"list": []
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},
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"editable": false,
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"gnetId": null,
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"graphTooltip": 0,
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"hideControls": false,
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"links": [
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{
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"icon": "external link",
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"targetBlank": true,
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"title": "External Documentation",
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"type": "link",
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"url": "https://example.com/docs"
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}
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],
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"panels": [
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{
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"gridPos": {
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"h": 3,
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"w": 24,
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"x": 0,
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"y": 0
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},
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"options": {
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"content": "This dashboard demonstrates various monitoring components for application observability and performance metrics.\n",
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"mode": "markdown"
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},
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"title": "Application Monitoring",
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"type": "text"
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}
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],
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"refresh": "10s",
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"rows": [
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{
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"collapse": false,
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"collapsed": false,
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"height": "250px",
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"panels": [
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{
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"gridPos": {
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"h": 11,
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"w": 24,
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"x": 0,
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"y": 5
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},
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"id": 6,
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"options": {
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"content": "This service handles background processing tasks for the application system. It manages various types of operations including data synchronization, resource management, and batch processing.\n\nSupported operation types:\n1. Sync: Synchronizes data between different systems\n2. Process: Handles batch data processing tasks\n3. Cleanup: Removes outdated or temporary resources\n4. Update: Applies configuration changes across services\n\nService dependencies:\n- Data API: For reading and writing application data\n- Configuration Service: For managing system settings\n- Queue Service: For handling task scheduling\n- Storage Service: For persistent data management\n- Auth Service: For authentication and authorization\n- Metrics Service: For collecting operational statistics\n",
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"mode": "markdown"
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},
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"span": 0,
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"title": "Service Overview",
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"type": "text"
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},
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{
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"gridPos": {
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"h": 3,
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"w": 24,
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"x": 0,
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"y": 16
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},
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"id": 7,
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"options": {
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"content": "Error monitoring helps identify issues in the system. This section displays error logs and success rates for operations.",
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"mode": "markdown"
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},
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"span": 0,
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"title": "Error Monitoring",
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"type": "text"
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},
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{
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"datasource": {
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"type": "prometheus",
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"uid": "${prom}"
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},
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"fieldConfig": {
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"defaults": {
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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": "red",
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"value": 0
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},
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{
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"color": "yellow",
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"value": 0.95
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},
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{
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"color": "green",
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"value": 1
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}
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]
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},
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"unit": "percentunit"
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}
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},
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"gridPos": {
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"h": 9,
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"w": 3,
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"x": 0,
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"y": 19
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},
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"id": 8,
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"span": 0,
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"targets": [
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{
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"expr": "sum by (action) (app_jobs_processed_total{outcome=\"success\", cluster=\"$cluster\", namespace=\"default\"})\n/\nsum by (action) (app_jobs_processed_total{cluster=\"$cluster\", namespace=\"default\"})\n",
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"legendFormat": "{{action}}"
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}
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],
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"title": "Job Success Rate",
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"type": "stat"
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},
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{
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"datasource": {
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"type": "loki",
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"uid": "${loki}"
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},
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"gridPos": {
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"h": 9,
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"w": 10,
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"x": 3,
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"y": 19
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},
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"id": 9,
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"options": {
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"enableLogDetails": true,
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"showTime": false,
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"sortOrder": "Descending",
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"wrapLogMessage": true
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},
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"span": 0,
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"targets": [
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{
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"expr": "{namespace=\"default\", cluster=\"$cluster\", job=\"app-service\"} | logfmt | level=\"error\""
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}
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],
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"title": "Errors",
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"type": "logs"
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},
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{
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"datasource": {
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"type": "loki",
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"uid": "${loki}"
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},
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"gridPos": {
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"h": 9,
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"w": 11,
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"x": 13,
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"y": 19
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},
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"id": 10,
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"options": {
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"enableLogDetails": true,
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"showTime": false,
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"sortOrder": "Descending",
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"wrapLogMessage": true
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},
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"span": 0,
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"targets": [
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{
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"expr": "{namespace=\"default\", cluster=\"$cluster\", job=\"app-service\"} | logfmt"
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}
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],
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"title": "All",
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"type": "logs"
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},
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{
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"gridPos": {
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"h": 3,
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"w": 24,
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"x": 0,
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"y": 28
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},
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"id": 11,
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"options": {
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"content": "Performance monitoring examines factors that affect system response times, including operation duration, queue lengths, and processing delays. This section provides metrics and traces for performance analysis.\n",
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"mode": "markdown"
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},
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"span": 0,
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"title": "Performance Analysis",
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"type": "text"
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},
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{
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"datasource": {
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"type": "prometheus",
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"uid": "${prom}"
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},
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"description": "Number of concurrent processing threads available for handling operations",
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"gridPos": {
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"h": 6,
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"w": 5,
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"x": 0,
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"y": 31
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},
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"id": 12,
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"span": 0,
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"targets": [
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{
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"expr": "max(app_worker_threads_active{cluster=\"$cluster\", namespace=\"default\"})",
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"instant": true
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}
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],
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"title": "Concurrent Job Drivers",
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"type": "stat"
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},
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{
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"datasource": {
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"type": "tempo",
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"uid": "${tempo}"
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},
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"gridPos": {
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"h": 6,
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"w": 19,
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"x": 5,
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"y": 31
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},
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"id": 13,
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"span": 0,
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"targets": [
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{
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"filters": [
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{
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"id": "span-name",
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"operator": "=",
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"scope": "span",
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"tag": "name",
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"value": [
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"provisioning.sync.process"
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]
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},
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{
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"id": "k8s-cluster-name",
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"operator": "=",
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"scope": "resource",
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"tag": "k8s.cluster.name",
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"value": [
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"$cluster"
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]
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}
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],
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"query": "{name=\"app.operation.process\"}",
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"queryType": "traceqlSearch"
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}
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],
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"title": "Recent Operation Traces",
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"type": "table"
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},
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{
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"datasource": {
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"type": "prometheus",
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"uid": "${prom}"
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},
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"description": "Histogram showing p99, p95, p50, and p10 percentiles for job processing duration based on number of resources changed",
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"fieldConfig": {
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"defaults": {
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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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"color": "yellow",
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"value": 2
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},
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{
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"color": "red",
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"value": 5
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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": 10,
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"w": 8,
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"x": 0,
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"y": 55
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},
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"id": 14,
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"span": 0,
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"targets": [
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{
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"expr": "histogram_quantile(0.99, sum(rate(app_operation_duration_seconds_bucket{cluster=\"$cluster\", namespace=\"default\"}[7d])) by (le, resources_changed_bucket, action)) and on(resources_changed_bucket, action) sum(rate(app_operation_duration_seconds_bucket{cluster=\"$cluster\", namespace=\"default\"}[7d])) by (resources_changed_bucket, action) > 0",
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"legendFormat": "{{action}} q0.99 - size {{resources_changed_bucket}}",
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"refId": "B"
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},
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{
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"expr": "histogram_quantile(0.9, sum(rate(app_operation_duration_seconds_bucket{cluster=\"$cluster\", namespace=\"default\"}[7d])) by (le, resources_changed_bucket, action)) and on(resources_changed_bucket, action) sum(rate(app_operation_duration_seconds_bucket{cluster=\"$cluster\", namespace=\"default\"}[7d])) by (resources_changed_bucket, action) > 0",
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"legendFormat": "{{action}} q0.95 - size {{resources_changed_bucket}}",
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"refId": "C"
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},
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{
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"expr": "histogram_quantile(0.5, sum(rate(app_operation_duration_seconds_bucket{cluster=\"$cluster\", namespace=\"default\"}[7d])) by (le, resources_changed_bucket, action)) and on(resources_changed_bucket, action) sum(rate(app_operation_duration_seconds_bucket{cluster=\"$cluster\", namespace=\"default\"}[7d])) by (resources_changed_bucket, action) > 0",
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"legendFormat": "{{action}} q0.5 - size {{resources_changed_bucket}}",
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"refId": "D"
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},
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{
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"expr": "histogram_quantile(0.1, sum(rate(app_operation_duration_seconds_bucket{cluster=\"$cluster\", namespace=\"default\"}[7d])) by (le, resources_changed_bucket, action)) and on(resources_changed_bucket, action) sum(rate(app_operation_duration_seconds_bucket{cluster=\"$cluster\", namespace=\"default\"}[7d])) by (resources_changed_bucket, action) > 0",
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"legendFormat": "{{action}} q0.1 - size {{resources_changed_bucket}}",
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"refId": "E"
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}
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],
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"timeFrom": "7d",
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"title": "7d avg of job durations",
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"transformations": [
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{
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"id": "reduce",
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"options": {
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"mode": "seriesToRows",
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"reducers": [
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"mean"
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]
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}
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},
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{
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"id": "seriesToRows"
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},
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{
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"id": "organize",
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"options": {
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"renameByName": {
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"Field": "Type",
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"Mean": "Avg Duration",
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"Metric": "Legend",
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"Value": "Duration"
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}
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}
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}
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],
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"type": "table"
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},
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{
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"datasource": {
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"type": "prometheus",
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"uid": "${prom}"
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},
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"description": "Histogram showing p99, p95, p50, and p10 percentiles for job processing duration based on number of resources changed",
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"gridPos": {
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"h": 10,
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"w": 16,
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"x": 8,
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"y": 55
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},
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"id": 15,
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"span": 0,
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"targets": [
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{
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"expr": "histogram_quantile(0.99, sum(rate(app_operation_duration_seconds_bucket{cluster=\"$cluster\", namespace=\"default\"}[5m])) by (le, resources_changed_bucket, action))",
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"legendFormat": "{{action}} q0.99 - size {{resources_changed_bucket}}",
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"refId": "B"
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},
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{
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"expr": "histogram_quantile(0.95, sum(rate(app_operation_duration_seconds_bucket{cluster=\"$cluster\", namespace=\"default\"}[5m])) by (le, resources_changed_bucket, action))",
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"legendFormat": "{{action}} q0.95 - size {{resources_changed_bucket}}",
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"refId": "C"
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},
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{
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"expr": "histogram_quantile(0.5, sum(rate(app_operation_duration_seconds_bucket{cluster=\"$cluster\", namespace=\"default\"}[5m])) by (le, resources_changed_bucket, action))",
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"legendFormat": "{{action}} q0.5 - size {{resources_changed_bucket}}",
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"refId": "D"
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},
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{
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"expr": "histogram_quantile(0.1, sum(rate(app_operation_duration_seconds_bucket{cluster=\"$cluster\", namespace=\"default\"}[5m])) by (le, resources_changed_bucket, action))",
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"legendFormat": "{{action}} q0.1 - size {{resources_changed_bucket}}",
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"refId": "E"
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}
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],
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"title": "Job Duration",
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"type": "timeseries"
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},
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{
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"datasource": {
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"type": "prometheus",
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"uid": "${prom}"
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},
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"description": "Total number of jobs waiting to be processed",
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"gridPos": {
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"h": 5,
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"w": 4,
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"x": 0,
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"y": 65
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},
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"id": 16,
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"span": 0,
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"targets": [
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{
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"expr": "clamp_min(sum(app_operation_queue_size{cluster=\"$cluster\", namespace=\"default\"}), 0)",
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"legendFormat": "Queue size"
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}
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],
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"title": "Queue Size",
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"type": "stat"
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},
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{
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"datasource": {
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"type": "prometheus",
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"uid": "${prom}"
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},
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"fieldConfig": {
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"defaults": {
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"unit": "s"
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}
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},
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"gridPos": {
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"h": 5,
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"w": 4,
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"x": 4,
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"y": 65
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},
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"id": 17,
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"span": 0,
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"targets": [
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{
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"expr": "avg(histogram_quantile(0.5, sum(rate(app_operation_queue_wait_seconds_bucket{cluster=\"$cluster\", namespace=\"default\"}[7d])) by (le)))",
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"legendFormat": "Queue size"
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}
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],
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"timeFrom": "7d",
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"title": "7d avg Queue Wait Time",
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"type": "stat"
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},
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{
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"datasource": {
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"type": "prometheus",
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"uid": "${prom}"
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},
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"description": "How long a job is in the queue before being picked up",
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"gridPos": {
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"h": 5,
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"w": 16,
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"x": 8,
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"y": 65
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},
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"id": 18,
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"span": 0,
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"targets": [
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{
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"expr": "histogram_quantile(0.99, sum(rate(app_operation_queue_wait_seconds_bucket{cluster=\"$cluster\", namespace=\"default\"}[$__rate_interval])) by (le))",
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"legendFormat": "q0.99",
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"refId": "B"
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},
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{
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"expr": "histogram_quantile(0.95, sum(rate(app_operation_queue_wait_seconds_bucket{cluster=\"$cluster\", namespace=\"default\"}[$__rate_interval])) by (le))",
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"legendFormat": "q0.95",
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"refId": "C"
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},
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{
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"expr": "histogram_quantile(0.5, sum(rate(app_operation_queue_wait_seconds_bucket{cluster=\"$cluster\", namespace=\"default\"}[$__rate_interval])) by (le))",
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"legendFormat": "q0.5",
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"refId": "D"
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},
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{
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"expr": "histogram_quantile(0.1, sum(rate(app_operation_queue_wait_seconds_bucket{cluster=\"$cluster\", namespace=\"default\"}[$__rate_interval])) by (le))",
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"legendFormat": "q0.1",
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"refId": "E"
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}
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],
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"title": "Queue Wait Time",
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"type": "timeseries"
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},
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{
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"gridPos": {
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"h": 3,
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"w": 24,
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"x": 0,
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"y": 52
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},
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"id": 19,
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"options": {
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"content": "Resource utilization monitoring for application containers",
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"mode": "markdown"
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},
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"span": 0,
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"title": "Resource Monitoring",
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"type": "text"
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},
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{
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"datasource": {
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"type": "prometheus",
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"uid": "${prom}"
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},
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"gridPos": {
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"h": 9,
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"w": 7,
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"x": 0,
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"y": 55
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},
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"id": 20,
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"span": 0,
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"targets": [
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{
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"expr": "count by (cluster, channel)(label_replace(label_replace(kube_pod_container_info{namespace=\"default\", container=\"app-worker\", pod=~\"app-worker.*\", cluster=~\"$cluster\"}, \"version\", \"$1\", \"image\", \".+:(.+)\"), \"channel\", \"$1\", \"container\", \".+-(.+)\"))",
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"legendFormat": "{{cluster}}"
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}
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],
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"title": "Running Pod(s)",
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"type": "timeseries"
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},
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{
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"datasource": {
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"type": "prometheus",
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"uid": "${prom}"
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},
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"gridPos": {
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"h": 9,
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"w": 8,
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"x": 7,
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"y": 55
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},
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"id": 21,
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"span": 0,
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"targets": [
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{
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"expr": "max(kube_pod_container_resource_requests{namespace=\"default\", resource=\"memory\", cluster=~\"$cluster\", container=\"app-worker\", pod=~\"app-worker.*\"})",
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"legendFormat": "Memory Request"
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},
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{
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|
"expr": "max(kube_pod_container_resource_limits{namespace=\"default\", resource=\"memory\", cluster=~\"$cluster\", container=\"app-worker\", pod=~\"app-worker.*\"})",
|
|
"legendFormat": "Memory Limit"
|
|
},
|
|
{
|
|
"expr": "max(container_memory_usage_bytes{namespace=\"default\",cluster=~\"$cluster\", container=\"app-worker\", pod=~\"app-worker.*\"}) by (pod)",
|
|
"legendFormat": "Container usage {{pod}}"
|
|
}
|
|
],
|
|
"title": "Memory Utilization",
|
|
"type": "timeseries"
|
|
},
|
|
{
|
|
"datasource": {
|
|
"type": "prometheus",
|
|
"uid": "${prom}"
|
|
},
|
|
"gridPos": {
|
|
"h": 9,
|
|
"w": 9,
|
|
"x": 15,
|
|
"y": 55
|
|
},
|
|
"id": 22,
|
|
"span": 0,
|
|
"targets": [
|
|
{
|
|
"expr": "sum(irate(container_cpu_usage_seconds_total{namespace=\"default\", cluster=~\"$cluster\", container=\"app-worker\", pod=~\"app-worker-.*\"}[$__rate_interval])) by (pod, container, cpu)",
|
|
"legendFormat": "Usage {{pod}}"
|
|
},
|
|
{
|
|
"expr": "sum(irate(container_cpu_cfs_throttled_seconds_total{namespace=\"default\", cluster=~\"$cluster\", container=\"app-worker\", pod=~\"app-worker-.*\"}[$__rate_interval])) by (pod, container)",
|
|
"legendFormat": "Throttling {{pod}}"
|
|
},
|
|
{
|
|
"expr": "max(kube_pod_container_resource_limits{namespace=\"default\", cluster=~\"$cluster\", container=\"app-worker\", pod=~\"app-worker-.*\", resource=\"cpu\"})",
|
|
"legendFormat": "CPU limit"
|
|
},
|
|
{
|
|
"expr": "max(kube_pod_container_resource_requests{namespace=\"default\", cluster=~\"$cluster\", container=\"app-worker\", pod=~\"app-worker-.*\", resource=\"cpu\"})",
|
|
"legendFormat": "CPU request"
|
|
}
|
|
],
|
|
"title": "CPU Utilization",
|
|
"type": "timeseries"
|
|
}
|
|
],
|
|
"repeat": null,
|
|
"repeatIteration": null,
|
|
"repeatRowId": null,
|
|
"showTitle": true,
|
|
"title": "Application Service",
|
|
"titleSize": "h6"
|
|
}
|
|
],
|
|
"schemaVersion": 15,
|
|
"style": "dark",
|
|
"tags": [
|
|
"as-code"
|
|
],
|
|
"templating": {
|
|
"list": [
|
|
{
|
|
"current": {
|
|
"value": "prometheus-datasource"
|
|
},
|
|
"hide": 0,
|
|
"label": "Data source",
|
|
"name": "datasource",
|
|
"options": [],
|
|
"query": "prometheus",
|
|
"refresh": 1,
|
|
"regex": "",
|
|
"type": "datasource"
|
|
},
|
|
{
|
|
"current": {
|
|
"value": "prometheus-datasource"
|
|
},
|
|
"name": "prom",
|
|
"query": "prometheus",
|
|
"refresh": 1,
|
|
"regex": "",
|
|
"type": "datasource"
|
|
},
|
|
{
|
|
"current": {
|
|
"value": "loki-datasource"
|
|
},
|
|
"name": "loki",
|
|
"query": "loki",
|
|
"refresh": 1,
|
|
"regex": "",
|
|
"type": "datasource"
|
|
},
|
|
{
|
|
"current": {
|
|
"text": "tempo-datasource",
|
|
"value": "tempo-datasource"
|
|
},
|
|
"name": "tempo",
|
|
"query": "tempo",
|
|
"refresh": 1,
|
|
"regex": ".*tempo.*",
|
|
"type": "datasource"
|
|
},
|
|
{
|
|
"current": {
|
|
"text": "demo-cluster",
|
|
"value": "demo-cluster"
|
|
},
|
|
"datasource": {
|
|
"type": "prometheus",
|
|
"uid": "${prom}"
|
|
},
|
|
"name": "cluster",
|
|
"query": "label_values(app_worker_threads_active,cluster)",
|
|
"refresh": 1,
|
|
"type": "query"
|
|
}
|
|
]
|
|
},
|
|
"time": {
|
|
"from": "now-6h",
|
|
"to": "now"
|
|
},
|
|
"timepicker": {
|
|
"refresh_intervals": [
|
|
"5s",
|
|
"10s",
|
|
"30s",
|
|
"1m",
|
|
"5m",
|
|
"15m",
|
|
"30m",
|
|
"1h",
|
|
"2h",
|
|
"1d"
|
|
],
|
|
"time_options": [
|
|
"5m",
|
|
"15m",
|
|
"1h",
|
|
"6h",
|
|
"12h",
|
|
"24h",
|
|
"2d",
|
|
"7d",
|
|
"30d"
|
|
]
|
|
},
|
|
"timezone": "utc",
|
|
"title": "Span Zero Demo Dashboard",
|
|
"uid": "span-zero-demo-dashboard",
|
|
"version": 0
|
|
}
|