A production runbook for building and qualifying an Azure Monitor burn-rate alert by separating the SLI, error budget, short and long windows, telemetry quality, notification, validation and rollback.
A production runbook for canarying a KQL transformation in an Azure Monitor Data Collection Rule, comparing volume and schema, detecting rejected records, then validating or rolling back without an observability gap.
A production runbook for qualifying a delayed Azure Monitor alert by separating application timestamps, Log Analytics ingestion, KQL query windows, evaluation frequency, action groups, validation and rollback.
A production runbook for qualifying an Azure Managed Grafana dashboard or alert with Azure Monitor datasource, managed identity, Log Analytics permissions, variables, traces, validation and rollback before changing KQL queries.
Build useful KQL queries to identify requests blocked by Azure Web Application Firewall on Application Gateway, with action, ruleId, URI, client IP, hostname and time window.