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Azure MCP Server

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azure-functions-deployment-best-practices.txt1.56 kB
Azure Functions deployment best practices: - Refer to this GitHub repo for best practices on generating Bicep templates using Azure Verified Modules (AVM): - https://github.com/Azure-Samples/functions-quickstart-javascript-azd/tree/main/infra - https://github.com/Azure-Samples/functions-quickstart-dotnet-azd-eventgrid-blob/tree/main/infra - Default hosting plan is flex consumption plan. - If Flex Consumption is not an option, prefer Elastic Premium (EP) SKU. - Always use Linux OS for Python-based Functions. - Configure Function authentication or stronger mechanisms; avoid anonymous access. - Enable private networking options such as Virtual Network (VNET) integration or private endpoints for enhanced security. - Deploy one Function per Function App for optimal horizontal scaling. - Ensure the Function App instance is sized appropriately to balance performance and cost efficiency. - **Failure Recovery**: Always clean up partial deployments before retrying - Use `azd down` to delete failed deployment resources and deployed code - **Alternative Methods**: If all the resources were provisioned successfully but the app failed to be deployed with error message "deployment failed: Input string was not in a correct format. Failure to parse near offset 40. Format item ends prematurely.", use Azure CLI deployment to upload the function app code. - Always enable Application Insights to monitor Function Apps, including exception tracking and dependency monitoring.

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