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I have an application, basically an AI-interviewer. I want to deploy it on the Azure container App. How can I achieve this? Any documentation available?

Ready to get your AI-interviewer app up and running on Azure Container Apps? Here’s a friendly step-by-step to help you out: 1. First, make sure your app is containerized with Docker. If you don’t have a Dockerfile yet, no worries—you can create one tailored to your app’s needs. 2. Next, set up the environment variables your app needs. For example, if you’re using LiveKit, you might want to include

LIVEKIT_CONFIG

and any optional variables for TURN server TLS setup. 3. Don’t forget to configure the ports your app uses—like HTTP, RTC UDP/TCP, and any others important for your setup. 4. It’s also a good idea to define health checks (liveness and readiness probes) so you can keep an eye on how your app is doing. 5. Finally, deploy your container using Azure Container Apps. You can take inspiration from Kubernetes manifests or Docker setups and tweak them to fit Azure’s format. If you want to dive deeper, there’s a deployment examples repo with Dockerfile and Kubernetes configs that you can adapt for Azure Container Apps. And hey, if you hit any bumps or have questions, just give me a shout—I’m here to help! Sources: README.md | Deployment and scaling | LiveKit Docs | livekit-server/templates/deployment.yaml