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AWS Lambda for Beginners | Part-1)Lambda Function Setup S3 Trigger with Lambda and dynamoDB [HINDI]
#awstutorial #cloudcomputing #Trainwith100rabh
What is AWS Lambda?
How AWS Lambda work?
AWS Lambda Example.
Welcome to this AWS Lambda Tutorial for Beginners! 🚀 In this video, you'll learn step-by-step how to create your first Lambda function on AWS. If you're new to cloud computing or serverless architecture, this beginner-friendly guide will walk you through the basics of AWS Lambda, explain what serverless is, and show you how to set up and deploy your own Lambda function from scratch.
- What is AWS Lambda? Overview of serverless computing and the benefits of using AWS Lambda functions.
- Step-by-step guide to creating and deploying your first Lambda function.
- Key concepts like triggers, events, and Lambda function handlers.
- How to set up AWS Lambda in the AWS Management Console.
- Practical examples to help you understand Lambda functions in real-world scenarios.
Why AWS Lambda? AWS Lambda is Amazon's serverless compute service that lets you run code without provisioning or managing servers. This tutorial will help you understand the core principles of serverless architecture, allowing you to build and deploy scalable, cost-effective applications. Lambda is perfect for handling tasks like data processing, backend automation, event-driven applications, and more!
Keywords:
AWS Lambda, AWS Lambda Tutorial for Beginners, AWS Tutorial, Serverless Computing, Create Lambda Function, How to use AWS Lambda, Lambda function AWS, Lambda Tutorial, Lambda function example, Amazon Web Services, Cloud Computing, AWS for Beginners, Serverless for Beginners, Deploy Lambda Function, AWS Lambda setup.
Code used in this lab ****************************
import boto3
from uuid import uuid4
def lambda_handler(event, context):
s3 = boto3.client("s3")
dynamodb = boto3.resource('dynamodb')
for record in event['Records']:
bucket_name = record['s3']['bucket']['name']
object_key = record['s3']['object']['key']
size = record['s3']['object'].get('size', -1)
event_name = record ['eventName']
event_time = record['eventTime']
dynamoTable = dynamodb.Table('newtable')
dynamoTable.put_item(
Item={'unique': str(uuid4()), 'Bucket': bucket_name, 'Object': object_key,'Size': size, 'Event ': event_name, 'EventTime': event_time})
Видео AWS Lambda for Beginners | Part-1)Lambda Function Setup S3 Trigger with Lambda and dynamoDB [HINDI] канала TrainWithSaurabh
What is AWS Lambda?
How AWS Lambda work?
AWS Lambda Example.
Welcome to this AWS Lambda Tutorial for Beginners! 🚀 In this video, you'll learn step-by-step how to create your first Lambda function on AWS. If you're new to cloud computing or serverless architecture, this beginner-friendly guide will walk you through the basics of AWS Lambda, explain what serverless is, and show you how to set up and deploy your own Lambda function from scratch.
- What is AWS Lambda? Overview of serverless computing and the benefits of using AWS Lambda functions.
- Step-by-step guide to creating and deploying your first Lambda function.
- Key concepts like triggers, events, and Lambda function handlers.
- How to set up AWS Lambda in the AWS Management Console.
- Practical examples to help you understand Lambda functions in real-world scenarios.
Why AWS Lambda? AWS Lambda is Amazon's serverless compute service that lets you run code without provisioning or managing servers. This tutorial will help you understand the core principles of serverless architecture, allowing you to build and deploy scalable, cost-effective applications. Lambda is perfect for handling tasks like data processing, backend automation, event-driven applications, and more!
Keywords:
AWS Lambda, AWS Lambda Tutorial for Beginners, AWS Tutorial, Serverless Computing, Create Lambda Function, How to use AWS Lambda, Lambda function AWS, Lambda Tutorial, Lambda function example, Amazon Web Services, Cloud Computing, AWS for Beginners, Serverless for Beginners, Deploy Lambda Function, AWS Lambda setup.
Code used in this lab ****************************
import boto3
from uuid import uuid4
def lambda_handler(event, context):
s3 = boto3.client("s3")
dynamodb = boto3.resource('dynamodb')
for record in event['Records']:
bucket_name = record['s3']['bucket']['name']
object_key = record['s3']['object']['key']
size = record['s3']['object'].get('size', -1)
event_name = record ['eventName']
event_time = record['eventTime']
dynamoTable = dynamodb.Table('newtable')
dynamoTable.put_item(
Item={'unique': str(uuid4()), 'Bucket': bucket_name, 'Object': object_key,'Size': size, 'Event ': event_name, 'EventTime': event_time})
Видео AWS Lambda for Beginners | Part-1)Lambda Function Setup S3 Trigger with Lambda and dynamoDB [HINDI] канала TrainWithSaurabh
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27 июля 2025 г. 20:13:22
00:18:22
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