A direct deploy over production means a restart and a few seconds of errors. With deployment slots, you deploy next to production, warm up the instance, and do an instant swap: zero downtime and rollback in a few seconds.
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Do not create Azure resources manually from the portal anymore. With Bicep, you define them in versioned, reproducible code integrated into the pipeline: essential syntax, environment-specific parameters, what-if, and deployment from GitHub Actions.
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How to pass the same artifact through dev, staging, and production using GitHub Environments: protection rules, environment-specific secrets, and a real approval gate before production.
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What does professional CI/CD actually mean for a .NET application? The fundamentals of a serious GitHub Actions pipeline: build, tests, promotable artifact, and the principle of "build once, deploy many."
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Kusto Query Language applied to a realistic incident, from alert to cause: the Application Insights tables, essential operators, correlation on operation_Id, and queries to keep on hand for the day you need them.
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Business metrics with System.Diagnostics.Metrics: Counter, Histogram, and ObservableGauge, dimensions with controlled cardinality, dashboards in Azure Workbooks, and alerts that catch incidents before users.
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Trace the id that traverses services: OpenTelemetry in ASP.NET Core and Azure Functions Isolated Worker, exporting to Application Insights, context propagation through Service Bus, and custom spans with ActivitySource.
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Serilog correctly configured for production: the Application Insights sink, enrichers for automatic context, levels per namespace, compact request logging, and the cost traps of excessive logging.
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