Introduction to AWS Lambda
SPL-88 Version 2.2.9
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The lab provides a basic explanation of AWS Lambda. It will demonstrate the steps required to get started to create a Lambda function in an event-driven environment.
AWS Lambda is a compute service that runs your code in response to events and automatically manages the compute resources for you, making it easy to build applications that respond quickly to new information. AWS Lambda starts running your code within milliseconds of an event such as an image upload, in-app activity, website click, or output from a connected device. You can also use AWS Lambda to create new back-end services where compute resources are automatically triggered based on custom requests.
By the end of this lab you will be able to:
- Create an AWS Lambda function
- Configure an Amazon S3 bucket as a Lambda Event Source
- Trigger a Lambda function by uploading an object to Amazon S3
- Monitor AWS Lambda S3 functions through Amazon CloudWatch Log
Familiarity with Amazon S3 would be beneficial.
Notice the lab properties below the lab title:
- setup - The estimated time to set up the lab environment
- access - The time the lab will run before automatically shutting down
- completion - The estimated time the lab should take to complete
- At the top of your screen, launch your lab by clicking
If you are prompted for a token, use the one distributed to you (or credits you have purchased).
A status bar shows the progress of the lab environment creation process. The AWS Management Console is accessible during lab resource creation, but your AWS resources may not be fully available until the process is complete.
- Open your lab by clicking
This will automatically log you into the AWS Management Console.
Please do not change the Region unless instructed.
Common login errors
Error : Federated login credentials
If you see this message:
- Close the browser tab to return to your initial lab window
- Wait a few seconds
- Click again
You should now be able to access the AWS Management Console.
Error: You must first log out
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- Click click here
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- Click again
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