🤖 Amazon Bedrock: Building a Simple Blog Summarizer 📝

>>> A hands-on introduction to Amazon Bedrock using Lambda, API Gateway, CDK, and GitHub Actions

Amazon Bedrock: Building a Simple Blog Summarizer by Sai Manasa

Hello World…when learning a new service, I always like to start with something small and practical before diving into more advanced concepts. Amazon Bedrock is no different. In this blog, we’ll build a simple Blog Summarizer using Amazon Bedrock and Amazon Nova Lite. The application accepts an article as input and generates key points, a five-bullet summary, and a conclusion. Along the way, we’ll also use AWS Lambda, API Gateway, CDK, and GitHub Actions to automate the deployment process. It’s a beginner-friendly project that provides a hands-on introduction to building Generative AI applications on AWS. Let’s get started! 🚀

Table of Contents

• Overview
• Solution Architecture
• Why Amazon Bedrock?
• Flow
• Project Structure
• Step-by-step Implementation

Overview

In this project, we’ll build a simple Blog Summarizer using Amazon Bedrock and Amazon Nova Lite. The application accepts a blog article as input and generates:

• Key points from the article
• A five-bullet summary
• A concise conclusion

To make the application more practical, we’ll also expose it through an HTTP API Gateway, use AWS Lambda to invoke the Bedrock model, define the infrastructure using AWS CDK, and automate deployments using GitHub Actions.

Why Amazon Bedrock?

• Amazon Bedrock allows developers to build Generative AI applications without managing underlying infrastructure.
• It provides access to multiple foundation models through a unified API.
• Benefits: Fully managed service No GPU management Serverless experience Supports multiple model providers Easy integration with AWS services

Flow:

Git Push
 ↓
GitHub Actions
 ↓
CDK Deploy
 ↓
API Gateway
 ↓
Lambda
 ↓
Amazon Bedrock (Nova Lite)
 ↓
Structured JSON Response

Project Structure

This separation keeps infrastructure and application code independent.

Step-by-Step Implementation

Step 1: Create the Repository Structure

First, create a repository to organize all Amazon Bedrock projects.

amazon-bedrock/
│
├── .github/
│   └── workflows/
│
└── 01-blog-summarizer/
    ├── infra/
    └── lambda/

This structure separates:

• Infrastructure code (CDK)
• Application code (Lambda)
• CI/CD workflows (GitHub Actions)

Step 2: Initialize the CDK Application

Navigate to the infra folder.

cd 01-blog-summarizer/infra

Initialize CDK.

cdk init app --language python

Install dependencies.

pip install -r requirements.txt

Bootstrap CDK.

cdk bootstrap

This prepares your AWS env for CDK deployments.

Step 3: Create the Lambda Function

• Repository:

[embed]GitHub - saimanasak/amazon-bedrock: amazon-bedrock | aws generative-ai | genai | llm | rag… amazon-bedrock | aws generative-ai | genai | llm | rag bedrock-agents | prompt-engineering | aws-lambda | aws-cdk |…github.com

• Create a folder for Lambda code.

[embed]

Step 4: Define Infrastructure Using CDK

Stack:

[embed]

app.py:

[embed]

Step 5: Configure GitHub Actions

Create a workflow file.

.github/workflows/01-blog-summarizer.yaml

The pipeline performs:

• Checkout code
• Install dependencies
• Configure AWS credentials
• Run CDK Synth
• Run CDK Deploy

[embed]

Every push to the repository automatically deploys the infrastructure.

Step 6: Test the Application

Send a POST request.

POST /summarize

Request body:

{
    "article": "Kubernetes is an open-source container orchestration platform..."
}

Sample response:

{
    "key_points": [
        "...",
        "..."
    ],
    "five_bullet_summary": [
        "...",
        "...",
        "...",
        "...",
        "..."
    ],
    "conclusion": "..."
}

The application successfully generates a structured summary using Amazon Bedrock.

Let’s Connect

Feel free to get in touch, share your ideas or feedback, or ask any questions. I’m excited to engage with you and learn from each other as we navigate this exciting field!

LinkedIn: Sai Manasa

GitHub: Sai Manasa

[embed]saimanasak - Overview DevOps Engineer | Bibliophile . saimanasak has 26 repositories available. Follow their code on GitHub.github.com

Happy Learning :)