Learn how to create AWS Lambda functions that execute on a scheduled interval, much like a cron job would. In this lesson we will create a Lambda function that checks for a string of text on a website to verify the website is up and operational. The lambda function logs to CloudWatch Metrics and sends a notification email using an SNS queue if the check fails.
Installing the AWS CLI on your local workstation may be one of the biggest boosts to productivity you can make if you use AWS often. Almost all AWS features are available via the CLI allowing you to script, schedule and automate many AWS related tasks.
In this lesson, I’ll show you how to setup and verify the AWS CLI.
In this lesson, you will take a sample Node.js and Express web application to Amazon Web Services by leveraging the managed service, Elastic Beanstalk. This lesson will cover packaging the application, configuring a new Elastic Beanstalk application, and deploying the packaged application to an environment within your application.
This lesson teaches you how to use dependencies, such as faker.js in your Lamdba functions. We will update the lambda code from the Lambda and API Gateway lesson to generate random work history and endorsements using the faker npm module then upload our code to Lambda and test.
In this lesson, you will learn how to create a simple AWS Lambda function to submit a name via an API Gateway and return a resume for that person. At the end of the lesson, you will be able to create a Lambda function, and API Gateway, and understand how to submit data via the API Gateway that will be accessible via the Lambda function