📊 Azure Monitoring - Advanced

Custom Metrics and Dashboards

from azure.monitor.query import MetricsQueryClient

client = MetricsQueryClient(credential)

# Query custom metrics
metrics = client.query_resource(
  resource_id,
  metric_names=["CustomMetric"],
  timespan="PT1H"
)

Log Analytics and KQL

AppInsights
| where timestamp > ago(1d)
| summarize avg(duration) by operation_Name
| where avg_duration > 100
| order by avg_duration desc

Alert Management

# Create metric alert
az monitor metrics alert create \
  --name "High Latency Alert" \
  --resource-group myResourceGroup \
  --scopes /subscriptions/.../myApp \
  --condition "avg Duration > 500" \
  --window-size 5m \
  --evaluation-frequency 1m

Key Takeaways

• **Custom metrics** track business KPIs

• **Log Analytics** enables advanced querying

• **Alerts** proactively notify issues

• **Dashboards** visualize key insights

Next Steps

Explore identity and access management.