Deploy to the cloud

Deploy your AI application directly to Netlify for fast, reliable hosting with automatic HTTPS and global CDN distribution.

What you'll learn ⏱️ 4 minutes

  • Prerequisites for Netlify deployment

  • Step-by-step deployment process

  • Configuration options

  • Managing your deployed application

Prerequisites

Application Ready

  • Complete your AI application in the Builder interface

  • Test functionality to ensure it works as expected

  • Optional: Run optimization to improve performance before deployment

Deployment Process

Step 1: Initiate Deployment

  1. In the Builder interface, locate the deployment buttons

  2. Click Deploy

Step 2: Name your site

  1. Choose a name for your site

  2. Select a password

Step 3: Deploy

  1. Click the deploy button to view your application on the web.

Step 4: Deployment Complete

  1. Deployment process runs automatically

  2. Live URL provided when deployment finishes

  3. Your AI application is now live and accessible

What Gets Deployed

Complete Application

  • All source files generated by Empromptu

  • Dependencies and libraries needed for functionality

  • Configuration files for proper operation

  • AI capabilities fully integrated and functional

Cloud Features Included

  • Automatic HTTPS: Secure connections enabled by default

  • Global CDN: Fast loading from locations worldwide

  • Custom domain support: Add your own domain if desired

  • Form handling: Built-in form processing capabilities

Post-Deployment Management

Accessing Your Application

  • Live URL: Provided immediately after deployment

Making Updates

To update your deployed application:

  1. Make changes in the Builder interface

  2. Re-deploy to Netlify using the same process

  3. New version goes live automatically

  4. Previous versions remain available in Netlify dashboard

Configuration Options

Site Settings

  • Site name: Choose memorable URL

  • Build settings: Usually configured automatically

  • Environment variables: Add if your application requires them

  • Domain settings: Configure custom domains

Advanced Features

  • Branch deploys: Deploy from different versions

  • Deploy previews: Test changes before going live

  • Split testing: A/B test different versions

  • Analytics: Monitor usage and performance

Troubleshooting Common Issues

Deployment Fails

Check: Netlify account permissions and authentication Solution: Re-authenticate and try deployment again

If any failures happen, please chat with us or email [email protected]

Application Not Loading

Check: Build process completed successfully in Netlify dashboard Solution: Review build logs in Netlify for any errors

Features Not Working

Check: All necessary files were included in deployment Solution: Redeploy from Builder to ensure complete file transfer

Custom Domain Issues

Check: DNS settings and domain configuration Solution: Follow Netlify's domain setup documentation

Benefits of Netlify Deployment

Reliability

  • 99.9% uptime: Enterprise-grade hosting reliability

  • Global CDN: Fast loading from anywhere in the world

  • Automatic scaling: Handles traffic spikes seamlessly

Security

  • HTTPS by default: Secure connections automatically configured

  • DDoS protection: Built-in security features

  • Form spam filtering: Automatic protection for forms

Developer Experience

  • Instant deploys: Fast deployment process

  • Preview deployments: Test changes safely

  • Rollback capability: Revert to previous versions easily

Best Practices

Before Deployment

  • Test thoroughly in Builder interface

  • Optimize performance using LLMOps tools

  • Review application for any issues

  • Plan domain strategy if using custom domains

After Deployment

  • Test live application to ensure everything works

  • Monitor performance through Netlify analytics

  • Set up monitoring for ongoing performance tracking

  • Plan update strategy for future improvements

Next Steps

After deploying to Netlify:

  • Monitor performance: Track real user interactions with your AI application

  • Continue optimization: Use deployment data to improve performance

  • Deploy updates: Learn how to deploy improvements and updates

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