Running Windows Workloads in AWS and deploying code with AWS CodeDeploy
7 sections • 30 lectures • 2h 5m total length
Signing Up for an AWS trial account
Installing the AWS CLI On Mac
Installing The AWS CLI On Windows
Creating an IAM User and configuring CLI for local use
The Default VPC & Creating a VPC using the VPC Wizard
Manual VPC Creation
Internet Gateway & Routing
Creating a Windows EC2 Instance
RDP Into The Windows Instance
Service Role For Code Deploy
Instance Role For EC2
Provision a EC2 for Code deploy
Prepare Application Content
Provision a S3 Bucket
Push Application to S3 bucket
Deploy Application to EC2 instance
Preparing A Network For The Auto Scaling Group
Creating a Launch Configuration
Creating a Auto Scaling Group
Deploying Code To The Auto Scaling Group
Load Balancing the Application
Scaling Up and Down
An AWS Account
In this course I show you how to set up an autoscaled EC2 Web App environment behind a Load Balancer in AWS. Along the way, I also provide in depth coverage of intermediate topics like setting up AWS Networking, Load Balancers , Auto Scaling Groups and deploying code using the AWS Code Deploy Service.
This course is an excellent path to experienced engineers coming from Azure or GCP to come to terms with AWS.
I do not expect you to have any experience on AWS. I will guide you step by step, right from setting up a free AWS trial account to setting up your AWS CLI on your desk top. I intend to bring up AWS beginners to an intermediate AWS level on what I call a Web App pattern. This is an autoscaled EC2 load balanced environment with application code pushed to it via the code deploy service.
Vice President - Cloud Architecture, J.P. Morgan Chase
4.6 Instructor Rating
I am a published author and work as a Cloud Architect with J.P. Morgan Chase where I am part of the Enterprise Cloud Solutions Architecture team responsible for creating cloud architectural blueprints, guidance, Infrastructure as Code and best practices for fostering cloud adoption across the three public cloud providers (AWS, Azure and Google).