AWS Lambda with a Python library for processing.

[Denzil77777]

Good day to you,

One of the questions from DOJO, is as below;

Category: CSAA – Design Cost-Optimized Architectures

A wellness company is currently working on a wearable device that monitors key health metrics such as heart rate, sleep, and steps per day. The device is designed to send data to an Amazon S3 bucket for storage and analysis. On a daily basis, the device produces 1 MB of data. In order to quickly process and summarize this data, the company requires 512 MB of memory and must complete the task within a maximum of 10 seconds.

I did choose the right answer; Use AWS Lambda with a Python library for processing, not in my 1st and 2nd attempts.

I am trying to understand this AWS Service/ Concept.

May you kindly explain please.

Kind Regards,

Denzil

[Neil-TutorialsDojo]

Hi Denzil,

Thank you for posting here.

AWS Lambda is a serverless computing service that allows you to run code without provisioning or managing servers. It automatically runs your code in response to events or triggers, such as changes in data stored in Amazon S3. Lambda functions can be written in various programming languages, including Python.

Key points about AWS Lambda:

• Serverless: You don’t have to manage any servers or infrastructure.
• Event-driven: Lambda functions are triggered by events, such as file uploads to S3.
• Pay per use: You only pay for the compute time your code consumes.
• Automatic scaling: Lambda automatically scales your code to handle increased workloads.
• AWS Lambda supports various programming languages, including Python.
• You can include Python libraries in your Lambda function deployment package to perform the necessary data processing and summarization tasks.

Here is an AWS Lambda Cheat Sheet you can read:
https://tutorialsdojo.com/aws-lambda/

Hope this helps.

Regards,
Neil @ Tutorials Dojo

[Denzil77777]

Good day to you, Neil,

Thank you for that great explataion.

Kind Regards,

Denzil