🎨 AWS-CDK-BEDROCK-LAMBDA-POC 🎨

AWS FastAPI CDK deployment with sample Bedrock-based AI solution.

Summary/Overview 📝

Deployed on AWS with Infrastructure as Code on CDK-Python.
API developed with FastAPI.
AI Models on top of AWS Bedrock.
Unit and Integration Tests for the source code with PyTest.

AWS Architecture Diagram 🏆

The AWS infrastructure solution is deployed with CDK-Python with the resources defined on the cdk folder:

Folders Explained 📜

This repository consists of multiple folders/files, which are explained as follows:

Infrastructure as Code: (./cdk/).
Source Code: (./src/).
Python dependencies on top of custom Lambda Layers: (./lambda-layers).
Tests: (./tests/)

Demo Responses 🔮

Usage ✅

Follow these steps to configure the project locally:

Enable AWS Bedrock Models

Go to AWS Console, and request access to the Bedrock models that will be used.

Clone the repository

First, clone the repository:

git clone https://github.com/san99tiago/aws-cdk-bedrock-lambda-poc
cd aws-cdk-bedrock-lambda-poc

Configure CDK

Review the step by step commands for configuring the CDK at:

./important_commands.sh

Note: python dependencies for this project are managed by Poetry. Review ./pyproject.toml for details.

Note: for deploying or destroying the solution, see ("part 3") inside ./important_commands.sh.

Dependencies 💯

Software

Visual Studio Code
Visual Studio Code is my main code editor for high-level programming. This is not absolutely necessary, but from my experience, it gives us a great performance and we can link it with Git and GitHub easily.
Python
Python is a dynamic programming language that let us work fast, with easy and powerful integration of different software solutions.

Tools

CDK CLI (Toolkit)
To work with the CDK, it is important to install the main toolkit as a NodeJs global dependency. Please refer to the official AWS Getting started with the AWS CDK
AWS CLI
The AWS Command Line Interface (AWS CLI) is a unified tool to manage your AWS services. We will use it for connecting to our AWS account from the terminal (authentication and authorization towards AWS).

Special thanks 🍻

I am grateful to the talented individuals who have dedicated their time and effort to develop the exceptional open-source projects that have been used in the creation of this solution.

Author 🎹

Santiago Garcia Arango

As a curious DevOps Engineer, I am deeply passionate about implementing cutting-edge cloud-based solutions on AWS.
I firmly believe that today's greatest challenges must be solved by the expertise of individuals who are truly passionate about their work.

san99tiago / aws-cdk-bedrock-lambda-poc Goto Github PK