AWS DynamoDB - Insert Data Using AWS Lambda

Connecting AWS Lambda (compute) to DynamoDB (database) is one of the most fundamental patterns in serverless architecture. It allows you to save user data, logs, or transaction records without managing a single server.

In this guide, we build a simple system where:

1. We create a DynamoDB table.
2. We create a Lambda function.
3. We grant the Lambda permission to write to the table (IAM).
4. We write Python code (boto3) to insert data dynamically.

The Architecture

• Lambda: Executes your Python script.
• IAM Role: The "security badge" that lets Lambda talk to the database.
• DynamoDB: The NoSQL database storing the items.

Implementation:

Follow the below steps to insert data into the DynamoDB table using AWS lambda:

Step 1: Login into AWS console.

Step 2: Search for dynamodb.

Step 3: Select Dynamodb and press on create table

Step 4: Now give the table name and keys accordingly to your requirement 

Now table will be created.

Step 5: Now we need to create Identity and Access Management(IAM) role for that go and search for IAM role.

Step 6: Click on role in access management and click on create role.

Step 7: Here we need to select AWS service and lambda.

Step 8: Here we need to add permission, as we are using dynamo db we need to add AmazonDynamoDBFullAccess Permissions policies

Step 9: Now give the role name and select create role

Step 10: Press on create function.

Step 11: Give name and Runtime.

Step 12: Change the Execution role to Use an existing role and select your role.

Step 13: Now go to the code section and add the below code.

#importing packages
import json
import boto3
#function definition
def lambda_handler(event,context):
    dynamodb = boto3.resource('dynamodb')
    #table name
    table = dynamodb.Table('sample')
    #inserting values into table
    response = table.put_item(
       Item={
            'sample': 'bhagi',
           
        }
    )
    return response

Output:

Troubleshooting Common Errors