478 lines
9.4 KiB
Markdown
478 lines
9.4 KiB
Markdown
# DBIS Core Banking System - Monitoring Guide
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This guide provides comprehensive monitoring strategies, architecture, and best practices for the DBIS Core Banking System.
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## Monitoring Architecture
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```mermaid
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graph TB
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subgraph "Application Layer"
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APP1[App Instance 1]
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APP2[App Instance 2]
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APPN[App Instance N]
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end
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subgraph "Monitoring Infrastructure"
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METRICS[Metrics Collector]
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LOGS[Log Aggregator]
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TRACES[Distributed Tracer]
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ALERTS[Alert Manager]
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end
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subgraph "Storage & Analysis"
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METRICS_DB[Metrics Database<br/>Prometheus/InfluxDB]
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LOG_DB[Log Storage<br/>ELK/Splunk]
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TRACE_DB[Trace Storage<br/>Jaeger/Zipkin]
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end
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subgraph "Visualization"
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DASHBOARDS[Dashboards<br/>Grafana/Kibana]
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ALERT_UI[Alert Dashboard]
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end
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APP1 --> METRICS
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APP2 --> METRICS
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APPN --> METRICS
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APP1 --> LOGS
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APP2 --> LOGS
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APPN --> LOGS
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APP1 --> TRACES
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APP2 --> TRACES
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APPN --> TRACES
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METRICS --> METRICS_DB
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LOGS --> LOG_DB
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TRACES --> TRACE_DB
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METRICS_DB --> DASHBOARDS
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LOG_DB --> DASHBOARDS
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TRACE_DB --> DASHBOARDS
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METRICS_DB --> ALERTS
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ALERTS --> ALERT_UI
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```
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## Key Metrics to Monitor
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### Application Metrics
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```mermaid
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graph LR
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subgraph "Application Metrics"
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REQ[Request Rate]
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LAT[Latency]
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ERR[Error Rate]
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THR[Throughput]
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end
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subgraph "Business Metrics"
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PAY[Payment Volume]
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SET[Settlement Time]
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FX[FX Trade Volume]
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CBDC[CBDC Transactions]
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end
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subgraph "System Metrics"
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CPU[CPU Usage]
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MEM[Memory Usage]
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DISK[Disk I/O]
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NET[Network I/O]
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end
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```
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#### Critical Metrics
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1. **API Response Times**
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- p50, p95, p99 latencies
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- Per-endpoint breakdown
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- SLA compliance tracking
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2. **Error Rates**
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- Total error rate
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- Error rate by endpoint
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- Error rate by error type
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- 4xx vs 5xx errors
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3. **Request Throughput**
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- Requests per second
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- Requests per minute
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- Peak load tracking
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4. **Business Metrics**
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- Payment volume (count and value)
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- Settlement success rate
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- FX trade volume
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- CBDC transaction volume
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### Database Metrics
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```mermaid
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graph TD
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subgraph "Database Metrics"
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CONN[Connection Pool]
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QUERY[Query Performance]
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REPL[Replication Lag]
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SIZE[Database Size]
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end
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CONN --> HEALTH[Database Health]
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QUERY --> HEALTH
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REPL --> HEALTH
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SIZE --> HEALTH
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```
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#### Key Database Metrics
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1. **Connection Pool**
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- Active connections
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- Idle connections
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- Connection wait time
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- Connection pool utilization
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2. **Query Performance**
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- Slow query count
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- Average query time
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- Query throughput
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- Index usage
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3. **Replication**
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- Replication lag
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- Replication status
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- Replica health
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4. **Database Size**
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- Table sizes
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- Index sizes
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- Growth rate
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### Infrastructure Metrics
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1. **CPU Usage**
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- Per instance
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- Per service
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- Peak usage
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2. **Memory Usage**
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- Per instance
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- Memory leaks
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- Garbage collection metrics
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3. **Disk I/O**
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- Read/write rates
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- Disk space usage
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- I/O wait time
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4. **Network I/O**
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- Bandwidth usage
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- Network latency
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- Packet loss
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## Logging Strategy
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### Log Levels
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```mermaid
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graph TD
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FATAL[FATAL<br/>System Unusable]
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ERROR[ERROR<br/>Error Events]
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WARN[WARN<br/>Warning Events]
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INFO[INFO<br/>Informational]
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DEBUG[DEBUG<br/>Debug Information]
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TRACE[TRACE<br/>Detailed Tracing]
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FATAL --> ERROR
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ERROR --> WARN
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WARN --> INFO
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INFO --> DEBUG
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DEBUG --> TRACE
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```
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### Structured Logging
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All logs should be structured JSON format with the following fields:
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```json
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{
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"timestamp": "2024-01-15T10:30:00Z",
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"level": "INFO",
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"service": "payment-service",
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"correlationId": "abc-123-def",
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"message": "Payment processed successfully",
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"metadata": {
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"paymentId": "pay_123",
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"amount": 1000.00,
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"currency": "USD",
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"sourceAccount": "acc_456",
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"destinationAccount": "acc_789"
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}
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}
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```
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### Log Categories
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1. **Application Logs**
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- Business logic execution
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- Service interactions
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- State changes
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2. **Security Logs**
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- Authentication attempts
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- Authorization failures
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- Security events
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3. **Audit Logs**
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- Financial transactions
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- Data access
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- Configuration changes
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4. **Error Logs**
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- Exceptions
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- Stack traces
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- Error context
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## Alerting Strategy
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### Alert Flow
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```mermaid
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sequenceDiagram
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participant Metric as Metric Source
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participant Collector as Metrics Collector
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participant Rule as Alert Rule
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participant Alert as Alert Manager
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participant Notify as Notification Channel
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Metric->>Collector: Metric Value
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Collector->>Rule: Evaluate Rule
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alt Threshold Exceeded
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Rule->>Alert: Trigger Alert
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Alert->>Notify: Send Notification
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Notify->>Notify: Email/SMS/PagerDuty
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end
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```
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### Alert Severity Levels
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1. **Critical**
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- System down
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- Data loss risk
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- Security breach
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- Immediate response required
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2. **High**
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- Performance degradation
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- High error rate
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- Resource exhaustion
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- Response within 1 hour
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3. **Medium**
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- Warning conditions
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- Degraded performance
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- Response within 4 hours
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4. **Low**
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- Informational
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- Minor issues
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- Response within 24 hours
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### Key Alerts
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#### Critical Alerts
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1. **System Availability**
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- Service down
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- Database unavailable
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- HSM unavailable
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2. **Data Integrity**
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- Ledger mismatch
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- Transaction failures
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- Data corruption
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3. **Security**
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- Authentication failures
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- Unauthorized access
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- Security breaches
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#### High Priority Alerts
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1. **Performance**
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- Response time > SLA
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- High error rate
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- Resource exhaustion
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2. **Business Operations**
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- Payment failures
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- Settlement delays
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- FX pricing errors
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## Dashboard Recommendations
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### Executive Dashboard
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```mermaid
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graph TD
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subgraph "Executive Dashboard"
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VOL[Transaction Volume]
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VAL[Transaction Value]
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SUCCESS[Success Rate]
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REVENUE[Revenue Metrics]
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end
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```
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**Key Metrics**:
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- Total transaction volume (24h, 7d, 30d)
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- Total transaction value
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- Success rate
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- Revenue by product
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### Operations Dashboard
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```mermaid
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graph TD
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subgraph "Operations Dashboard"
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HEALTH[System Health]
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PERFORMANCE[Performance Metrics]
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ERRORS[Error Tracking]
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CAPACITY[Capacity Metrics]
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end
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```
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**Key Metrics**:
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- System health status
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- API response times
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- Error rates by service
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- Resource utilization
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### Business Dashboard
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```mermaid
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graph TD
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subgraph "Business Dashboard"
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PAYMENTS[Payment Metrics]
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SETTLEMENTS[Settlement Metrics]
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FX[FX Metrics]
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CBDC[CBDC Metrics]
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end
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```
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**Key Metrics**:
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- Payment volume and value
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- Settlement success rate
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- FX trade volume
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- CBDC transaction metrics
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## Monitoring Tools
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### Recommended Stack
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1. **Metrics Collection**
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- Prometheus (open source)
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- InfluxDB (time-series database)
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- Grafana (visualization)
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2. **Log Aggregation**
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- ELK Stack (Elasticsearch, Logstash, Kibana)
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- Splunk (enterprise)
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- Loki (lightweight)
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3. **Distributed Tracing**
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- Jaeger (open source)
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- Zipkin (open source)
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- OpenTelemetry (standard)
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4. **Alerting**
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- Alertmanager (Prometheus)
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- PagerDuty (on-call)
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- Opsgenie (incident management)
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## Implementation Guide
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### Step 1: Instrumentation
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1. Add metrics collection to services
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2. Implement structured logging
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3. Add distributed tracing
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4. Configure health checks
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### Step 2: Infrastructure Setup
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1. Deploy metrics collection service
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2. Deploy log aggregation service
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3. Deploy tracing infrastructure
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4. Configure alerting system
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### Step 3: Dashboard Creation
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1. Create executive dashboard
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2. Create operations dashboard
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3. Create business dashboard
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4. Create custom dashboards as needed
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### Step 4: Alert Configuration
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1. Define alert rules
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2. Configure notification channels
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3. Test alert delivery
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4. Document runbooks
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## Best Practices
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1. **Correlation IDs**
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- Include correlation ID in all logs
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- Trace requests across services
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- Enable request-level debugging
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2. **Sampling**
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- Sample high-volume metrics
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- Use adaptive sampling for traces
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- Preserve all error traces
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3. **Retention**
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- Define retention policies
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- Archive old data
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- Comply with regulatory requirements
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4. **Performance Impact**
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- Minimize monitoring overhead
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- Use async logging
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- Batch metric updates
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## Recommendations
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### Priority: High
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1. **Comprehensive Monitoring**
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- Implement all monitoring layers
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- Monitor business and technical metrics
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- Set up alerting for critical issues
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2. **Dashboard Standardization**
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- Use consistent dashboard templates
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- Standardize metric naming
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- Enable dashboard sharing
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3. **Alert Tuning**
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- Start with conservative thresholds
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- Tune based on actual behavior
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- Reduce false positives
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4. **Documentation**
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- Document all dashboards
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- Document alert runbooks
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- Maintain monitoring playbook
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For detailed recommendations, see [RECOMMENDATIONS.md](./RECOMMENDATIONS.md).
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---
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## Related Documentation
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- [Best Practices Guide](./BEST_PRACTICES.md)
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- [Recommendations](./RECOMMENDATIONS.md)
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- [Development Guide](./development.md)
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- [Deployment Guide](./deployment.md)
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