Most developers assume Azure Functions “just scale automatically.”
The truth? One wrong configuration setting can silently flood your telemetry, expose secrets, overload downstream systems, or trigger a midnight production outage.

In this episode, Bhanu from Azure Counsel breaks down the 5 most dangerous configuration mistakes that cripple real-world Azure Functions deployments — and shows you how to fix them using production-grade patterns.

This is not a beginner tutorial. It’s a practical guide for engineers who care about security, observability, concurrency control, and cost stability.

⚠️ Important for 2026 and beyond
With the November 10, 2026 retirement of the Azure Functions In-Process model, migrating to the Isolated Worker model is no longer optional. This episode focuses on the configuration patterns you must adopt to survive that transition safely.

🎯 What You’ll Learn:

• Why default Azure Functions settings are unsafe for production

• How misconfigured host.json can destroy performance and inflate Application Insights costs

• Why hardcoding connection strings is a security risk

• The correct way to use Managed Identity + Key Vault references

• When to use static vs. dynamic concurrency

• How to tune Service Bus and Event Hub triggers without melting downstream services

• How to prevent HTTP triggers from causing 429 storms

• Why logging to disk (fileLoggingMode) hurts performance

• How to design layered configuration for dev vs. prod

🧠 Key Takeaways:

• Control telemetry volume using metrics.aggregator tuning

• Implement structured logging instead of file-based logging

• Regulate parallelism using trigger-specific limits

• Protect backend systems with concurrency governance

• Build resilient deployments with feature flags and slots

👨‍💻 Who This Episode Is For:

• Cloud Architects designing enterprise serverless systems

• Senior Developers preparing for AZ-204 or AZ-305

• DevOps Engineers optimizing latency and cost

• Teams migrating legacy In-Process Functions to .NET Isolated Worker

• Engineers tired of “it worked in dev” failures

🔧 Technical Focus Areas:

• Azure Functions v4 (Isolated Worker model)

• Service Bus & Event Hub trigger tuning

• Cosmos DB Change Feed lease optimization

• Application Insights sampling & logging strategy

• Infrastructure as Code (Bicep & Terraform)

If your Azure Functions have ever:
• suddenly slowed down
• blown up your telemetry bill
• exposed secrets
• overwhelmed downstream systems
• or failed only in production

This episode gives you the mental model and configuration blueprint to stop those failures before they happen.

🎥 Watch the full visual walkthrough on YouTube:
https://youtu.be/1Y4J6YSqy08