You deployed your Azure Function…
But now your logs are missing, out of order, or so vague they’re useless.
Worse — your Application Insights bill is exploding while you’re still debugging blind in production.

Sound familiar? 😅

In this episode, Bhanu from Azure Counsel breaks down the exact logging architecture used to build traceable, distributed Azure Functions systems — without burning money on telemetry.

This is not about Console.WriteLine.
It’s about structured logging, correlation IDs, and cost-aware telemetry design for real production workloads.

⚠️ Critical for 2026 and Beyond
With the November 10, 2026 retirement of the Azure Functions In-Process model, your logging strategy must change.
This episode focuses on ILogger + dependency injection for the Isolated Worker model and how logging behavior differs from the old runtime.

🎯 What You’ll Learn:

• How to correctly configure APPLICATIONINSIGHTS_CONNECTION_STRING for local and production

• Why most logs disappear or arrive out of order

• How to tune log levels globally and per function to suppress noise

• How Azure drops telemetry when sampling is misconfigured

• How maxTelemetryItemsPerSecond can cut 90% of your ingestion cost

• When to use LogInformation, LogWarning, and LogCritical

• How to centralize logging using a helper class

• How to inject Correlation IDs for distributed tracing

• Why your error logging strategy defines production stability

🧠 Key Takeaways:

• Pay for insight, not noise

• Preserve statistical accuracy while reducing cost

• Prevent silent outages caused by sampling misconfiguration

• Build traceable request flows across microservices

• Stop debugging blind in production

👨‍💻 Who This Episode Is For:

• Cloud Architects designing high-volume telemetry systems

• Senior Developers building Azure Functions with C#

• DevOps Engineers managing Log Analytics cost and alerts

• Teams migrating to .NET 8/10 Isolated Worker

• Engineers tired of runaway Application Insights bills

🔧 Technical Focus Areas:

• Azure Functions v4 & Isolated Worker model

• Application Insights & Log Analytics

• host.json sampling and aggregator settings

• Structured logging with ILogger

• Distributed tracing & Correlation IDs

If your Azure Functions have ever:
• lost logs
• flooded Application Insights
• missed exceptions
• or cost more to monitor than to run

This episode gives you the logging blueprint to fix it permanently.

🎥 Watch the full walkthrough on YouTube:

https://youtu.be/nDR_LwzS3U8