Create Service Health Monitoring

[adriandarian]

Create comprehensive monitoring system for all services and repositories.

Details

Real-time monitoring with alerting, dashboards, and health reporting.

Monitoring Stack

Infrastructure

• Prometheus (metrics collection)
• Grafana (visualization)
• Loki (log aggregation)
• Alertmanager (alerting)

Or Managed Services

• Datadog
• New Relic
• Splunk
• CloudWatch

Metrics Collected

System Metrics

• CPU usage
• Memory usage
• Disk I/O
• Network I/O
• Process counts
• Error rates

Application Metrics

• Request rates
• Response times (p50, p95, p99)
• Error rates
• Success rates
• Active users
• Cache hit rates

CI/CD Metrics

• Workflow run duration
• Success/failure rates
• Queue times
• Resource usage
• Artifact sizes

Repository Metrics

• Commit frequency
• PR merge time
• Issue resolution time
• Test execution time
• Build times

VS Code Extension Metrics

• Installation count
• Activation time
• Command execution
• Error rates
• User engagement

Health Checks

Endpoint Checks

• HTTP status codes
• Response time
• Certificate validity
• DNS resolution
• SSL/TLS validity

Service Checks

• Database connectivity
• API availability
• External service status
• Background job processing
• Queue health

Synthetic Monitors

• Simulated user journeys
• API transaction tests
• Multi-step workflows
• Geographic distribution

Alerting Rules

Critical Alerts

• Service completely down
• Error rate >50%
• Response time >5s (p95)
• Security breach detected
• Data loss detected

Warning Alerts

• Error rate >10%
• Response time >2s (p95)
• CPU >80%
• Memory >85%
• Disk >90%

Info Alerts

• New deployment
• Configuration change
• Scaling event
• Backup completed

Alert Routing

routes:
  - match: { severity: critical }
    receiver: pagerduty
    continue: true
  
  - match: { severity: critical }
    receiver: slack-critical
  
  - match: { severity: warning }
    receiver: slack-warnings
  
  - match: { severity: info }
    receiver: slack-info

Dashboards

Overview Dashboard

• Overall system health
• Active incidents
• Error rates
• Response times
• Service status map

Per-Service Dashboard

• Service-specific metrics
• Request volume
• Error breakdown
• Resource usage
• Dependency health

CI/CD Dashboard

• Workflow success rates
• Build times
• Queue depth
• Runner utilization
• Artifact storage

Repository Dashboard

• Activity metrics
• Issue/PR status
• Contributor activity
• Code quality trends

SLI/SLO Definition

Service Level Indicators (SLIs)

• Availability: % of time service is up
• Latency: p95 response time
• Error rate: % of failed requests
• Throughput: requests per second

Service Level Objectives (SLOs)

• Availability: 99.9% uptime
• Latency: p95 < 500ms
• Error rate: < 0.1%
• Throughput: > 100 RPS

Error Budgets

• Calculate remaining error budget
• Alert when budget low
• Review when budget exhausted

Log Management

Log Collection

• Application logs
• System logs
• Audit logs
• Security logs
• CI/CD logs

Log Analysis

• Error pattern detection
• Anomaly detection
• Trend identification
• Root cause analysis

Acceptance Criteria

• Monitoring stack deployed
• All metrics collected
• Health checks operational
• Alerting working reliably
• Dashboards comprehensive
• SLI/SLO defined and tracked
• Log management functional
• Documentation complete
• Team trained on system
• Tested with simulated failures