My Experience: Cost optimization for Azure OpenAI deployments

My Experience: Cost optimization for Azure OpenAI deployments Context Many developers struggle to implement AI solutions efficiently on Azure. The Journey Why I Started I was facing this challenge while working on a project for a client. The existing solution was: Slow (took 5 minutes to complete) Expensive (costing $500/month) Difficult to maintain (required constant manual intervention) I knew there had to be a better way using Azure services. What I Tried First Approach 1: Azure Functions [ FunctionName ( "MyFunction" )] public static async Task < IActionResult > Run ( [ HttpTrigger ( AuthorizationLevel . Function , "post" )] HttpRequest req , ILogger log ) { // Implementation return new OkObjectResult ( "Success" ); } Result : Partial success, but cold starts were an issue. What Worked After experimenting, I found the winning combination: Azure Service A : For handling X Azure Service B : For processing Y Azure Service C : For storage Here's the final architecture: # Deploy infrast