AWS Lambda and the Serverless Framework - Hands On Learning!

Sign up for AWS, create your first Lambda function in the console with Python 3.9, deploy and test with a sample event, then use the Serverless Framework to automate deployment.

Install node and the serverless framework, configure AWS credentials, and create a serverless-admin profile to deploy lambda functions via CloudFormation and streamline CI/CD workflows.

Learn to deploy only a single function with the serverless framework, using SLS deploy function -F hello, dramatically speeding updates compared to deploying the entire stack.

Invoke the hello function from the CLI using serverless, then fetch and view the resulting logs with the logs command and monitor them in CloudWatch.

Delete your serverless backend completely with the serverless remove command, cleaning up S3 resources, CloudFormation stacks, and all dependencies. Prevent lingering logs and charges by ensuring a full backend cleanup.

Explore deploying, running, logging, and destroying Lambda functions with the serverless framework, and leverage its CLI, CI/CD integration, and CloudWatch log support.

Learn to create a serverless service for any runtime using the serverless framework and AWS Lambda, exploring Python, Java, Kotlin templates and their file structures.

Master YAML basics for serverless projects by exploring key-value pairs, nesting, arrays, multi-line strings, and anchors, then compare YAML with JSON and learn practical examples using the serverless framework.

Discover concepts of AWS Lambda and Serverless Framework, including functions, events, triggers, resources, and services, and learn how the CLI deploys code and infrastructure with a single job per function.

Configure and deploy AWS Lambda functions using the serverless framework, setting timeouts and memory in serverless.yml: short timeout 3 seconds and 128 megabytes, long timeout 6 seconds and 256 megabytes.

Learn how provider-level settings in serverless YAML propagate to all functions by default, with timeout and memory size inherited and selectively overridden at the function level.

Provision IAM permissions for lambda functions, granting secure access to services like S3 storage and DynamoDB using the serverless framework and boto3 with role-based policies.

Define and deploy environment variables in AWS Lambda with the serverless framework to externalize configuration. Override global and per-function variables to test Gina and Marc.

Learn how to deploy AWS Lambda functions in a VPC with subnets and security groups, and how the Serverless Framework configures VPC settings and IAM roles for secure access.

Explore aws lambda pricing, including the free tier and pay-per-call and per-duration charges, and see how memory size and regions affect costs.

Install and verify the AWS CLI across macOS, Linux, and Windows, connect the AWS Toolkit for VS Code with credentials, and explore AWS services using aws help.

Verify your AWS configuration by using the AWS sts get-caller-identity command and set credentials with AWS configure, adding your access key id and secret key from your AWS profiles.

Install and run docker desktop on macOS by downloading docker.dmg, installing it in applications, and verifying the setup with a terminal command for local AWS Lambda development, noting enterprise licensing.

Learn to create and deploy AWS SAM serverless applications using the SAM template and CLI, test locally with Docker, and deploy to AWS cloud.

Build and run your first aws sam hello world app using the aws cli and sam cli, test locally with docker, and deploy to cloud via api gateway and lambda.

deploy the SAM app to AWS cloud with guided SAM deploy, provisioning resources via CloudFormation, packaging artifacts in S3, and exposing a hello world Lambda through API Gateway.

Host and test your AWS Lambda API locally with AWS SAM, running sam local start-api and calling the hello endpoint. Rebuild updates with sam build before deploying to AWS Cloud.

Invoke your Lambda function directly using sam local invoke with the function name HelloWorldFunction and events/event.json, referencing template.yaml, then review logs showing status code 200 and the response body.

Delete the stack in the backend with AWS CloudFormation delete-stack --stack-name sam-app --region us-east1, then verify the Lambda is gone by refreshing the backend.

Create a serverless project with AWS SAM and AWS Toolkit in VS Code, run and test it locally, push to the AWS cloud, and test the hello world function there.

Deploy a serverless lambda app to AWS with the AWS toolkit, resolve profile issues, select a SAM template and S3 bucket, and verify a REST API returning hello world.

Run and debug your AWS Lambda project locally from VS Code by creating a sam-vscode debug configuration from CloudFormation, launching Docker, and fetching a hello world response from '/hello'.

Create a serverless project with AWS SAM and the AWS Toolkit in VS Code, run and test locally, then deploy to AWS Cloud and validate the deployment.

Explore AWS Step Functions to build visual, state-machine workflows that orchestrate tasks with parallel execution, error handling, and optional human approval.

Design and run your first step function using a hello world workflow, exploring the Amazon states language and a simple pass state that connects hello to world.

Explore building and debugging a Step Functions state machine in AWS using Workflow Studio, adding a wait state to orchestrate Hello and World flows, with clear inputs and outputs.

Configure a dynamic wait time in a Step Functions wait state by reading an integer from the input with SecondsPath, avoiding hard-coded values.

Explore task states in step functions by invoking a Lambda function to process input and produce output, using the Serverless Framework or AWS SAM and testing with sample ages.

Create and test step functions in VS Code with the AWS SAM CLI and AWS toolkit, render state machine graphs, download definitions, and run executions with varied inputs.

Create a state machine from a VS Code template using the AWS Toolkit, publish to us-east-1, render its graph, and run executions with IsHelloWorld to observe success and failure.

Update a state machine by changing the next step and publishing the quick update to step functions; preview, test with true or false input, and verify the Hello World end.

Learn to use the AWS Toolkit in VS Code to create, test, and deploy Step Functions state machines, visualize ASL graphs, and use templates for quick starts.

Create a thumbnail generator service by wiring S3 events to Lambda, generating thumbnails, storing metadata in DynamoDB, and exposing data via API Gateway using serverless.yml configurations.

Build a serverless thumbnail generator in python by parsing s3 events, fetching the image, resizing it to a configured thumbnail_size, and uploading the thumbnail back to s3.

Learn to configure serverless.yml for an s3 thumbnail generator by setting a custom bucket variable, wiring s3 events, and deploying the app with the serverless-python-requirements plugin.

Learn to attach a pillow layer to an AWS Lambda function, deploy with Serverless, and debug thumbnail generation from S3 uploads using logs in CloudWatch.

Set up a DynamoDB table named img-url-table to store thumbnail metadata, configure the DynamoDB table environment variable, and wire it to a Lambda-driven API for retrieving image data.

Save the thumbnail url and metadata to the DynamoDB table when a thumbnail uploads to S3, by calling save_thumbnail_url_to_dynamodb with url_path, url, and image size, including approxReducedSize.

Build an AWS API Gateway to expose thumbnail metadata stored in DynamoDB, enabling list all and get by id endpoints with CORS enabled.

Test and manage API items with Postman by retrieving all items, fetching by ID, and performing deletions; verify responses like all_good_response and itemDeleted, ensuring an empty list after deletes.

Explore how an image uploaded to S3 triggers Lambda to create a thumbnail, store metadata in DynamoDB, and expose results via a REST API.