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Monitoring Azure Workloads Effectively

You can't fix what you can't see. Azure Monitor provides comprehensive observability, but effective monitoring requires intentional design.

The Three Pillars

Metrics: Numeric measurements over time Logs: Discrete events with context Traces: Request flow across services

Application Insights

Instrument applications for deep visibility:

from applicationinsights import TelemetryClient

tc = TelemetryClient('instrumentation-key')
tc.track_event('OrderPlaced', {'order_id': '123'})

Alerts That Matter

Avoid alert fatigue:

  • Alert on symptoms, not causes
  • Set meaningful thresholds
  • Include runbooks
  • Suppress duplicates

Dashboards

Build dashboards for different audiences:

  • Executive: SLO status, trends
  • Operations: Real-time health
  • Development: Performance metrics