Grafana: Making Metrics Beautiful

Focus: Business operations and user behavior

• Total Persons in Database (Gauge): Current count
• CRUD Operations Rate (Graph): Operations per second over time
• Operation Distribution (Pie Chart): Create vs Read vs Update vs Delete
• Validation Error Rate (Graph): Failed operations over time
• Service Execution Time (Graph): Performance by method
• Repository Operations (Counter): Database queries

Use Case: Track business KPIs, identify bottlenecks, monitor user activity

Focus: Technical health and resource usage

• JVM Memory Usage (Graph): Heap vs Non-Heap over time
• Thread Counts (Graph): Active threads, daemon threads
• GC Activity (Graph): Garbage collection frequency and duration
• HTTP Request Metrics (Graph): Total requests, response codes
• System Resources (Gauges): CPU load, file descriptors
• Database Connection Pool (Graph): Active vs idle connections

Use Case: Identify memory leaks, capacity planning, infrastructure monitoring

Focus: Frontend operations and user experience

• Frontend Operations Rate (Graph): User interactions per second
• Backend Communication Errors (Graph): Connection/timeout/server errors
• Page Render Times (Graph): List page vs Form page performance
• Success Rate Gauge: Percentage of successful operations
• Operations Distribution (Bar Chart): List vs View vs Create vs Update vs Delete
• JVM Metrics: Memory, threads (same as backend)

Use Case: Monitor user experience, identify frontend-backend communication issues

Grafana can send alerts when metrics cross thresholds:

• Example 1: Alert if response time > 500ms for 5 minutes
• Example 2: Alert if error rate > 5% for 1 minute
• Example 3: Alert if memory usage > 90%
• Example 4: Alert if backend errors > 10 per minute

Notification Channels: Email, Slack, PagerDuty, Webhook