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AI/Run Deployment Guide on AWS

This guide provides step-by-step instructions for deploying the AI/Run CodeMie application to Amazon EKS and related AWS services. By following these instructions, you will:

  • Get along with AI/Run CodeMie architecture
  • Deploy AWS infrastructure using Terraform
  • Configure and deploy all AI/Run CodeMie application components
  • Integrate and configure AI models

How to Use This Guide​

For successful deployment, please follow these steps in sequence:

  1. First, verify all prerequisites and set up your AWS environment accordingly. Next, deploy the required infrastructure using Terraform.
  2. Finally, deploy and configure the AI/Run CodeMie components on EKS cluster.
  3. Complete post-installation configuration

Each section contains detailed instructions to ensure a smooth deployment process. The guide is structured to walk you through from initial setup to a fully functional AI/Run CodeMie environment on AWS.

Deployment Guide Structure​

Prerequisites​

Review all requirements before starting the deployment, including AWS account access, domain configuration, and required tools.

Architecture​

Understand the AI/Run CodeMie deployment architecture and resource requirements.

Infrastructure Deployment​

Deploy AWS infrastructure using Terraform, including EKS cluster, networking, and supporting services.

Components Deployment​

Install and configure all AI/Run CodeMie application components on your EKS cluster.

Post-Installation Configuration​

Complete required and optional configuration steps after deployment.

AI Models Integration​

Configure LLM and embedding models from various providers.

Update AI/Run CodeMie​

Learn how to update your AI/Run CodeMie installation.

Extensions​

Optional extensions and additional features you can enable.

FAQ​

Frequently asked questions about deployment and configuration.