Understanding Launch Type and Share Type in Azure Functions

 When working with Azure Functions, especially in a Premium or App Service Plan, you might encounter two settings that affect the hosting and execution behavior of your functions:

  • Launch Type: Single

  • Share Type: Single

While these may seem like low-level technical configurations, understanding them helps when you're optimizing performance, scaling behavior, or debugging cold starts.

What is Launch Type: Single?

Launch Type determines how Azure starts up the Azure Functions host process (the environment where your functions run).

  • When set to Single, the system launches one instance of the function app's host process per worker.

  • This ensures isolation per instance and reduces the chance of resource contention between multiple function apps.

Why it matters:

  • This is the default and safest approach when you want predictable resource usage.

  • It helps avoid cross-function interference when you're running multiple function apps on the same plan.

What is Share Type: Single?

Share Type is more about resource sharing within a function app's host.

  • When set to Single, it ensures that the function app does not share its worker with other function apps.

  • Essentially, the function app gets dedicated resources within its instance.

Why it matters:

  • Helps with performance tuning when latency or throughput is critical.

  • Especially useful for apps that require consistent CPU/memory availability.

When Should You Use These?

Use Launch Type: Single and Share Type: Single when:

  • You're running high-performance or latency-sensitive Azure Functions.

  • You want isolation to avoid noisy neighbor issues.

  • You’re deploying multiple function apps on the same App Service Plan and want to avoid competition for resources.

Conclusion

Although Launch Type: Single and Share Type: Single are advanced hosting settings, they play a key role in how your Azure Functions behave under the hood. When dealing with performance-critical scenarios, these options allow you to fine-tune execution, isolation, and reliability—giving you better control over how Azure runs your serverless workloads.

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