LEARN Complete DEVOPS Pipeline with AWS

Explore AWS Cloud9, a cloud-based IDE to write, run, and debug code in your browser with an integrated editor and terminal; set up environments and test Python with peer programming.

Run a Flask web app on Cloud9, preview in the browser, clone a Flask project, and build a to-do list with SQLAlchemy database integration and CRUD tasks.

Learn how to manage and delete a Cloud9 environment in an AWS devops workflow, including enrollment removal, instance shutdown, and integrating Cloud9 with a core pipeline.

Set up a virtual environment to isolate project dependencies, install Flask and other libraries, and manage them with a single requirements file for streamlined, repeatable setup.

Build a Flask web app by importing Flask, creating an app, and using route decorators to return responses; render HTML with render_template and run on localhost port 5000.

Configure a Flask app to use SQLAlchemy by creating a database instance and defining a model with id, title, and complete, then build routes to list and add to-do items.

Implement create, read, update, and delete functions to manage tasks in a database-backed app, sending data to a server and handling a three-column to-do table.

Learn to build a simple web app that lists tasks in a table and supports adding, updating, and deleting tasks, with data persistence across sessions using HTML pages.

Discover how to create your first repository in AWS CodeCommit, commit and update files, and collaborate with branches, pull requests, and approval rules, including cloning to a local system.

Learn to create a new branch from master, add and commit changes, and push them to the remote repository using git commands like clone, add, and push origin master.

Learn how to use AWS CodeBuild to compile, test, and package code for deployment. Configure build projects with sources, runtimes, build commands, artifacts, and logs in S3 and CloudWatch.

Demonstrates building and testing a devops pipeline: switch from main to master, install dependencies, run three unit tests for URLs and attacks, and deploy via pipeline.

Learn to generate logs and tests, create artifacts with timestamps, and build an xml report with enrollment variables in a DevOps pipeline with AWS.

Learn how to create a simple AWS code pipeline that automates from source to deployment, configuring source, build with CodeBuild, and deploy to Elastic Beanstalk.

Create and troubleshoot an AWS CodePipeline with source, build, and deploy stages; resolve S3 bucket errors, manage artifacts, run tests, and deploy via Beanstalk.

Set up a CodeStar project, configure the repository and deployment pipeline, and provision a Cloud9 environment to manage the end-to-end AWS toolchain.

Explore building an AWS devops pipeline with CodeStar, Cloud9, and Elastic Beanstalk, including creating an artifacts bucket, repository, and CloudFormation resources for a sample application.

Explore AWS Codestar workflows with CloudFormation stacks for Elastic Beanstalk and infrastructure, and learn to manage build and deploy stages, metrics, and Jira integration for team collaboration.