---
title: "Prototype Deployment (Serverless)"
source: Panaversity Learn Agentic AI
source_url: https://github.com/panaversity/learn-agentic-ai
licence: Apache-2.0
domain: agentic-ai
subdomain: panaversity-agentic
date_added: 2026-04-25
---

# Prototype Deployment (Serverless)

## Overview
This section provides a comprehensive guide for deploying containerized AI Agents using Azure Container Apps in a serverless environment. The guide is designed for rapid prototyping and validation of AI Agents with minimal operational overhead.

## Directory Structure

### 1. Environment Setup
- [Azure Container Apps Provisioning](1-Environment-Setup/Azure-Container-Apps-Provisioning.md)
- [Dapr Sidecar Configuration](1-Environment-Setup/Dapr-Sidecar-Configuration.md)
- [Secrets Management with Azure Key Vault](1-Environment-Setup/Secrets-Management-Azure-KeyVault.md)

### 2. Containerization
- [Dockerfile Best Practices](2-Containerization/Dockerfile-Best-Practices.md)
- [Dependency Management with UV](2-Containerization/Dependency-Management-Poetry-or-Requirements.md)

### 3. CI/CD Pipeline
- [GitHub Actions Build and Deploy](3-CI-CD-Pipeline/GitHub-Actions-Build-and-Deploy.md)
- [Container Registry Integration](3-CI-CD-Pipeline/Container-Registry-Integration.md)

### 4. Validation and Testing
- [Smoke Testing Checklist](4-Validation-and-Testing/Smoke-Testing-Checklist.md)
- [Basic Load Testing with k6](4-Validation-and-Testing/Basic-Load-Testing-with-k6.md)

### 5. Submission and Feedback
- [Prototype URL Sharing](5-Submission-and-Feedback/Prototype-URL-Sharing.md)
- [Collecting Feedback and Iterating](5-Submission-and-Feedback/Collecting-Feedback-and-Iterating.md)

## Getting Started

1. Begin with the [Environment Setup](1-Environment-Setup/) section to configure your Azure Container Apps environment
2. Follow the [Containerization](2-Containerization/) guide to prepare your application
3. Set up your [CI/CD Pipeline](3-CI-CD-Pipeline/) for automated deployments
4. Use the [Validation and Testing](4-Validation-and-Testing/) tools to ensure quality
5. Share your prototype and collect feedback using the [Submission and Feedback](5-Submission-and-Feedback/) guides

## Prerequisites

- Azure subscription
- Azure CLI installed
- Docker installed locally
- GitHub account
- Basic understanding of container concepts
- Python 3.11+ installed
- UV package manager installed

## Best Practices

1. **Security**
   - Use Azure Key Vault for secrets management
   - Implement proper access control
   - Enable Dapr security features
   - Regular security audits

2. **Performance**
   - Optimize container images
   - Implement proper scaling
   - Use caching where appropriate
   - Monitor resource usage

3. **Reliability**
   - Implement health checks
   - Use proper error handling
   - Set up monitoring and alerting
   - Regular backups

4. **Cost Optimization**
   - Use appropriate scaling rules
   - Implement resource limits
   - Monitor usage patterns
   - Clean up unused resources

## Next Steps
- Progress to [Enterprise Deployment](../02_Enterprise-Deployment-Kubernetes/) when ready for production
- Review the [Planetary Scale Deployment](../03_Planetary-Scale-Deployment/) guide for global distribution
