
Discover course objectives for AWS SAM framework and AWS Lambda, covering prerequisites, architecture, events, and pricing, with hands-on real-world examples and practical deployment and cleanup using the CLI.
Create your first AWS Lambda function in the AWS management console, test it with a sample event, monitor invocations and logs, deploy changes, and delete the function as needed.
Learn how AWS SAM defines serverless apps with a YAML template, deploy via CloudFormation, and manage Lambda functions and apps locally and in the cloud using the SAM CLI.
Invoke your lambda function directly with sam local invoke, using function name from template.yaml and an event JSON. View logs showing request IDs, memory size, status code, and response body.
deploy lambda functions in a VPC by selecting subnets and security groups, and verify the VPC execution role to ensure correct permissions.
Explore creating a step function workflow using the hello world template, design or code your state machine, configure execution roles, run a sample start execution, and view the execution history.
Create a step function state machine from a template in VS Code with the AWS toolkit, render graph, publish to Step Functions, and run executions to observe success or failure.
Set up a thumbnail generator with aws sam and lambda, read thumbnail size from environment variables, and process s3 events to resize images and upload thumbnails back to s3.
AWS SAM Framework (Serverless Application Model) and AWS Lambda is the best way to build scalable, reliable serverless applications and deploy AWS Lambda functions in Amazon Web Services. The great thing about serverless is that you don't need to manage any servers!
In this course, you will dive right in and learn how to deploy AWS Lambda functions and declare and configure those functions using the AWS SAM Framework (Serverless Application Model).
In a nutshell, you will:
No longer need to create serverless infrastructures using the AWS Management Console manually
Now have all your configurations and deployments in one single YAML file
You no longer need to package your functions into a zip file and manually upload them to the AWS cloud
With the AWS SAM CLI and SAM Framework, you do all that using the Command Line Interface quicker!
This is the best time to get well-versed in AWS SAM Framework and AWS Lambda Functions to configure, develop and deploy serverless applications quickly.
AWS Lambda functions abstract out all the burden of dealing with servers - you write a function and let AWS take it from there! In addition, you save in cost since you only pay per usage - if your Lambda functions are not running, you don't get billed.
With AWS Lambda functions, you can scale out or in quickly without having to reconfigure servers!
For this course, we'll deploy several real-world functions to AWS Lambda:
An automated thumbnail generation service on S3 (Python)
A REST API using AWS API Gateway & Lambda (nodeJS)
A REST API using AWS API Gateway & Lambda (Python 3)
An Email Service Using Lambda, SES, API Gateway, and NextJS for the front-end (NodeJS)
An Email Subscriber Service using SNS, API Gateway, S3, EventBridge (Schedule), DynamoDB, Lambda, SendGrid API (NodeJS)
A Face Recognition Service that recognizes faces and their features
Amazon Comprehend service paired with EventBridge that emails users on schedule with selected news headlines
After finishing the course, you can write any function you want.
In this course, you will be learning, by doing, everything you need to know to be proficient at using AWS Lambda and integrating with many different AWS services through the AWS SAM Framework!
Try this course, and you have 30 days to be refunded if you don't like it. You have nothing to lose!
---------------------------------
This course also comes with:
Lifetime access to all future updates
A responsive instructor in the Q&A Section
Udemy Certificate of Completion Ready for Download
A 30-Day "No Questions Asked" Money Back Guarantee!
Join me in this course if you want to learn about AWS Lambda and the AWS SAM Framework and master the AWS platform!