AWS: API (Lambda), Dynamo, and Frontend Applications

AWS: API (Lambda), Dynamo, and Frontend Applications
Last updated 8/2025
Duration: 1h 15m | .MP4 1280×720 30 fps(r) | AAC, 44100 Hz, 2ch | 700.51 MB

What you’ll learn
– Create Dynamo table, mass insert of records with PYTHON script and Dynamo index definition.
– Undestand the interface of Lambda function with PHP frontend and Dynamo table.
– Permissions to Lambda function to access Dynamo tables.
Requirements
– Basic database and programming with AWS architecture.

Description
DynamoDB Non-relational Database Structure

Lambda Function Using Node.js

The AWS Lambda function is written in Node.js and is designed to asynchronously handle API calls. It receives parameters from the frontend, parses them from the request body, and performs queries using a GSI (Global Secondary Index) on the DynamoDB table. The function uses structured key conditions and error handling to manage missing or malformed data inputs.

Exposing Lambda as an API with Function URL

The Lambda function is made accessible as a RESTful API using the ‘Function URL’ feature in AWS. This enables external systems, such as frontend applications, to make HTTP requests directly to the function, simplifying API integration.

Frontend PHP Integration with Lambda API

Monitoring with AWS CloudWatch

AWS CloudWatch is used to monitor performance and detect potential security issues across the application stack, including the database, Lambda functions, and frontend access patterns. Logs provide visibility into execution times, errors, and anomalies for ongoing optimization and security auditing.

Who this course is for:
– System architects that want to explore the advantages of using CLOUD monitoring of performance like Cloudwatch.
More Info

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