Performance Monitoring Dashboard Workflow

Continuous improvement cycle for IT management graph query performance

flowchart TD A["📋 STAGE 1: BASELINE\nMeasure Initial Performance\np50, p95, p99 latency\nDocument Query Patterns"] --> B B["📊 STAGE 2: MONITORING SETUP\nDeploy Prometheus + Grafana\nConfigure Alert Thresholds\np95 > 100ms = WARNING\np95 > 500ms = CRITICAL\nEnable Slow Query Logging"] --> C C["👁️ STAGE 3: CONTINUOUS MONITORING\nCollect Metrics Every 10-60s\nTrack Daily/Weekly Trends\nMonitor Graph Size Growth"] --> D D{{"Performance\nAcceptable?"}} D -- "✅ Yes" --> C D -- "❌ No" --> E E["🔍 STAGE 4: INVESTIGATION\nAnalyze Slow Query Logs\nCheck CPU / Memory / Disk I/O\nReview Graph Density & Degree\nIdentify Bottleneck Type"] --> F F{{"Root Cause\nIdentified?"}} F -- "❌ No" --> G["⚠️ Escalate to\nExpert Review"] G --> E F -- "✅ Yes" --> H H{{"Bottleneck\nType?"}} H -- "Query Design" --> I1["✏️ Query Optimization\nRewrite inefficient queries\nAdd missing node indexes\nLimit traversal depth"] H -- "Data Model" --> I2["🗄️ Model Optimization\nRefactor high-degree nodes\nAdd reverse relationships\nSplit dense subgraphs"] H -- "Capacity" --> I3["⚡ Capacity Scaling\nVertical: more CPU/RAM\nHorizontal: add cluster nodes\nSSD upgrade for I/O bound"] I1 --> J I2 --> J I3 --> J J["🚀 Implement Changes\nTest in non-production first\nRollback plan required\nDeploy with monitoring"] --> K K["✅ STAGE 6: VALIDATION\nRe-run baseline query suite\nCompare p95 latency to baseline\nVerify SLA requirements met"] --> L L{{"Improvement\nSufficient?"}} L -- "❌ No" --> E L -- "✅ Yes" --> M M["📝 Update Baseline & Document\nRecord new performance baseline\nDocument what worked\nAdd to optimization playbook"] --> C style A fill:#1565C0,color:#fff style B fill:#2E7D32,color:#fff style C fill:#F57F17,color:#fff style D fill:#EF6C00,color:#fff style E fill:#BF360C,color:#fff style F fill:#BF360C,color:#fff style G fill:#B71C1C,color:#fff style H fill:#4A148C,color:#fff style I1 fill:#880E4F,color:#fff style I2 fill:#880E4F,color:#fff style I3 fill:#880E4F,color:#fff style J fill:#880E4F,color:#fff style K fill:#1B5E20,color:#fff style L fill:#1B5E20,color:#fff style M fill:#1A237E,color:#fff
Best Practices: Most performance issues (85%) stem from poorly designed queries, not the database itself. Always test optimizations in non-production first. Establish baselines during low-load periods. Alert on trends, not just thresholds — gradual degradation is easy to miss.
Baseline
Setup
Monitoring
Investigation
Optimization
Validation
Document