LAMBDA Function In AWS

▪ AWS Lambda is a serverless compute service that runs your code in response to events

 ▪ These events may include changes in state or an update,AWS Lambda automatically runs code in response to multiple events, like posting something using POST method or reading something by using GET method.

 ▪ AWS Lambda allows you to add custom logic to AWS resources such as Amazon S3 buckets and Amazon DynamoDB tables, so you can easily apply compute to data as it enters or moves through the cloud.

  ▪ First, you create your function by uploading your code (or building it right in the Lambda console) and choosing the memory, timeout period, and AWS Identity and Access Management (IAM) role

▪ Then, you specify the AWS resource to trigger the function, which can be a particular Amazon S3 bucket, Amazon DynamoDB table.

▪ When the resource changes, Lambda will run your function, launching and managing the compute resources as needed to keep up with incoming requests.

 ▪ You can use AWS Lambda to create new backend application services triggered on demand using the Lambda application programming interface (API) or custom API endpoints built using Amazon API Gateway

 ▪ AWS Lambda seamlessly deploys your code, handles all the administration, maintenance, and security patches, and provides built-in logging and monitoring through Amazon CloudWatch.

 ▪ AWS Lambda invokes your code only when needed, and automatically scales to support the rate of incoming requests without any manual configuration.

▪ There is no limit to the number of requests your code can handle. AWS Lambda typically starts running your code within milliseconds of an event. Since Lambda scales automatically, the performance remains consistently high as the event frequency increases. Since your code is stateless, Lambda can start as many instances as needed without lengthy deployment and configuration delays.

➡With AWS Lambda, you pay for execution duration rather than server unit.

When using Lambda functions, you only pay for requests served and the compute time required to run your code.Billing is metered in increments of one millisecond, enabling easy and cost-effective automatic scaling from a few requests per day to thousands per second

✴ Thankyou very much @vimladaga sir for providing this AWS training for us with right approach to learn. : )

✴ Use-cases of Lambda Function ✴

1. Operating serverless websites
2. Rapid document conversion
3. Predictive page rendering
4. Working with external services
5. Log analysis on the fly
6. Automated backups and everyday tasks
7. Processing uploaded S3 objects
8. Backend cleaning
9. Bulk real-time data processing

Thanks for reading : )