1. 𝗦𝗲𝗿𝘃𝗲𝗿𝗹𝗲𝘀𝘀 𝗖𝗼𝗺𝗽𝘂𝘁𝗶𝗻𝗴:

AWS Lambda is a serverless computing service offered by Amazon Web Services (AWS). It allows you to run your code without provisioning or managing servers.

2. 𝗘𝘃𝗲𝗻𝘁-𝗗𝗿𝗶𝘃𝗲𝗻 𝗘𝘅𝗲𝗰𝘂𝘁𝗶𝗼𝗻:

Lambda functions are triggered by various events such as changes to data in an Amazon S3 bucket, updates to a DynamoDB table, or HTTP requests via API Gateway.

3. 𝗟𝗮𝗻𝗴𝘂𝗮𝗴𝗲 𝗦𝘂𝗽𝗽𝗼𝗿𝘁:

AWS Lambda supports multiple programming languages including Python, Node.js, Java.

4. 𝗣𝗮𝘆 𝗣𝗲𝗿 𝗨𝘀𝗮𝗴𝗲:

Lambda follows a Pay Per Usage model, meaning you are billed only for the compute time consumed by your functions.

5. 𝗔𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗰 𝗦𝗰𝗮𝗹𝗶𝗻𝗴:

AWS Lambda automatically scales your functions based on the incoming request rate. It provisions the necessary compute resources to handle the load and manages scaling for you.

6. 𝗘𝘃𝗲𝗻𝘁 𝗦𝗼𝘂𝗿𝗰𝗲𝘀:

Lambda functions can be triggered by various event sources such as AWS services like S3, DynamoDB, SNS, CloudWatch, and custom events from your applications.

7. 𝗣𝗲𝗿𝗺𝗶𝘀𝘀𝗶𝗼𝗻𝘀 𝗮𝗻𝗱 𝗦𝗲𝗰𝘂𝗿𝗶𝘁𝘆:

Lambda functions can be associated with IAM roles to control access to AWS resources. You can define granular permissions for each function, allowing it to access specific services or resources.

8. 𝗙𝘂𝗻𝗰𝘁𝗶𝗼𝗻 𝗩𝗲𝗿𝘀𝗶𝗼𝗻𝗶𝗻𝗴:

You can create different versions of your Lambda functions and deploy new versions without impacting the existing ones. This allows you to test and roll back changes easily.

9. 𝗠𝗼𝗻𝗶𝘁𝗼𝗿𝗶𝗻𝗴 𝗮𝗻𝗱 𝗟𝗼𝗴𝗴𝗶𝗻𝗴:

AWS Lambda provides built-in monitoring and logging capabilities.

10. 𝗖𝗿𝗼𝘀𝘀-𝗔𝗰𝗰𝗼𝘂𝗻𝘁 𝗔𝗰𝗰𝗲𝘀𝘀:

Lambda functions can access resources in other AWS accounts using cross-account IAM roles.

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