AWS, AZURE, IBM, GCP With Serverless Framework.

Sign in to the Azure dashboard, sign up for a free account with a credit card, and note the subscription and access key information for later command-line use.

Sign up for Google Cloud Platform, sign in, and access the dashboard; create a service account with owner access, generate a key in JSON, and securely store it.

Deploy serverless functions across aws, gcp, and azure using the cervalis framework; install cervalis, generate a service file, write and deploy your first ws function, and handle errors.

Install the serverless framework on your computer, following the guided steps for Mac, Windows, and Linux. Update Node to the latest version (12.16.1 recommended) to ensure a smooth setup.

Configure credentials, generate boilerplate, and create an AWS serverless template to prepare your first deployment with the Serverless Framework.

Deploy a simple lambda function with the serverless framework, configure serverless.yml, deploy to a chosen stage and region, and invoke to verify a 200 response and endpoint.

Practice building serverless functions on AWS by implementing get and delete endpoints, exporting them, and deploying with the Serverless Framework to test real endpoints.

Learn error handling by using logs to locate and fix issues across AWS, Azure, IBM, and GCP with serverless framework, including debugging a missing function and redeploying.

Configure Google Cloud Build and APIs, create a service account with appropriate roles, generate credentials, and deploy Cloud Functions using the Serverless Framework, then test and troubleshoot the deployment.

In this exercise, you create two cloud functions, 'create' and 'destroy', using Serverless Framework for GCP; adjust the handler and path, deploy, and verify responses.

Explore how the GCP URL structure, including service name and stage, is generated in serverless deployments, compare it with AWS routing, and highlight multicar architecture and ID handling considerations.

We act as consultants delivering a proof-of-concept app for a bakery, focusing on core requirements, best practices, and separating application from business logic using service functions.

Build a serverless estimates application with the serverless framework, test locally, and deploy to GCP and Azure, using tullio to send SMS and avoid vendor lock through simple code changes.

Set up api credentials for twitter, verify your phone number, and start a free trial to prepare for using twitter in your next project.

Configure the serverless.yaml in aws using templates for gcp and azure to accelerate learning, create a new project directory, and set environment variables for your functions.

Explore local testing and development deployment using the serverless framework across AWS, Azure, IBM, and GCP, with offline testing, API calls, and error handling.

Deploy and test on GCP using the serverless framework, manage credentials and environment variables, and debug JSON requests and responses.

Set up and test a serverless Azure workflow locally, deploy to development, run hello and goodbye functions, configure environment variables, and verify via Postman.

Register the business logic in the registry and separate it from the application logic in a calculator, enabling multiple cloud teams to reuse logic and add features like square root.

Create a business logic package for a multi-cloud calculator, set a version in package.json, implement add, subtract, multiply, and divide in an index file, test locally before publishing to npm.

Azure-based business logic for a multiclass calculator within a serverless framework, deploying and testing endpoints locally and via Postman, with environment configuration and error handling.

Practice a multi-cloud deployment to Google Cloud, deploy the function, check logs, use the key file, configure public access, and debug error handling and request logic in GCP.

Learn to create data structures with header and body, test endpoints, and publish content using the serverless framework, including login, versioning, and deployment.

Sign up for a GCP MongoDB cluster, choose the free version, set up security with a username and password, configure network access, then connect and explore.

Develop Azure development using the serverless framework by building three functions, implementing get and status endpoints, testing locally, installing packages, and deploying updated services.

Create a new multi cloud front-end project, install the necessary package, and scaffold a hello world page. Run the dev server on port 3001 and verify in the browser.

Develop a serverless failover scenario by building a failover function and cross-cloud data checks for multi-cloud environments. Render and monitor the results in a React UI using useEffect and useState.

Deploy a front-end to Netlify by building with yarn, fixing a build error via default export, wiring getData, pushing to GitHub, and configuring environment variables for the first deployment.

Learn to automate code delivery from GitHub to AWS using the Serverless Framework; test locally, and integrate Stripe for bakery storefront payments.

Sign up for the pro version, verify your email, and set up an app name, then explore two service deployments and configure the Cervalis template.

Learn to add functions to serverless.yaml using the serverless framework, configure two functions for item retrieval and posting, and test locally with MongoDB.

Develop and deploy two serverless functions: get item and buy item, by wiring database calls to the items collection, handling client validation, and exporting with module.exports.

Set up stripe, grab the test secret key, and create a charge via the stripe API using amount, currency, and source, then save the charge to the database.

Explore Stripe front-end integration by building a React form that collects credit card details, creates a token, and sends it to the back end for processing.

Build a React frontend exercise using Netflix as a model, complete on your own with direct guidance available if you run into problems.

Explore how microservices enable independent services for authentication, item service, and payment, and design a multi-cloud backend architecture using dedicated services across Azure, IBM, and GCP.

Generate a JWT token for authentication by signing user data with a secret key, set an expiry of one hour, and test token-based authorization across microservices.

This lecture guides configuring a GCP serverless setup, installing plugins and dependencies, handling authorization with request.headers, creating a recipe API, and deploying on Google Cloud Functions with token management.

Set up IBM cloud and serverless functions, install the serverless framework, sign up for IBM, configure OpenWhisk, deploy a get price function, and test with Postman.

Congratulations on reaching the end; continue your journey toward becoming a cloud architect by building more applications and exploring ideas with like-minded peers, guided by the instructor.