AWS Lambda Python: 8 Things You MUST Know ⚡
AWS Lambda is a compute service that lets you run your Python code without provisioning or managing servers.
Hi Guys, this is Abi from GokceDB and in this video, you are going to learn 8 things about building Lambda functions with Python. Let's get into it.
1. Lambda allows you to run your Python code to process events in an environment that includes Boto3, which is the AWS SDK for Python.
2. Boto3 makes it easy to integrate your Python application with AWS services such as Amazon S3, EC2, DynamoDB, and more.
3. As of this recording, Lambda supports four Python runtimes. These are Python 3.10, 3.9, 3.8 and 3.7.
4. You can use the built-in Python code editor in the Lambda console to write, test, and view the execution results of your Lambda function.
5. Your Lambda function runtime sends details about each invocation to a CloudWatch Logs log group. If your function returns an error, Lambda formats the error and returns it to the invoker.
6. The Lambda function handler is the method in your function code that processes events. When your function is invoked, Lambda runs the handler method until it returns a response, exits, or times out.
7. Your Lambda function's deployment package must include a .py file containing your function’s handler code, together with any additional modules your code depends on.
8. Your Lambda deployment package can either be a .zip file archive or a container image.
In summary, AWS Lambda provides runtimes for Python that allow you to run your code to process events using Boto3 SDK with credentials from an IAM role.
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