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LinkedIn Learning

AWS Essential Training for Architects

via LinkedIn Learning

Overview

Explore AWS from the architect’s perspective, focusing on the foundations you need to build scalable and reliable cloud-based application architectures.

Amazon Web Services (AWS) is one of the most widely used cloud platforms, and the top pick for many organizations looking to scale and reduce costs by adopting a cloud infrastructure strategy. This course explores AWS from the architect’s perspective, focusing on the foundations you need to build scalable and reliable cloud-based application architectures. Instructor Jeff Winesett covers everything from high-level principles and best practices to hands-on implementation, optimization, and security. He takes three different approaches—manual, automated, and serverless—so you can see how AWS fits a variety of workflows and architectures. Each lesson is backed with practical examples, grounding services like Elastic Load Balancing, RDS, DynamoDB, and CloudFront in a real-world context.

Syllabus

Introduction
  • Amazon Web Services essentials
1. Cloud Concepts
  • Cloud services
  • Cloud benefits
  • Cloud elasticity
  • Cloud constraints
  • Cloud administration
2. Cloud Practices
  • Design for failure
  • Implement elasticity
  • Decouple your components
  • Optimize for performance
  • Keep things secure
  • Optimize for cost
3. Keep Things Secure
  • The shared security model
  • IAM: Master account
  • Creating a new AWS account
  • IAM: Groups, roles, and permissions
  • Creating a new user
  • Creating a key pair
  • Security groups
  • Creating a security group
  • VPC
4. Designing for Failure
  • Virtual servers (EC2) and Elastic IP
  • Regions and Availability Zones
  • The Amazon Machine Image (AMI)
  • Understanding bootstrapping
  • Elastic Block Storage (EBS)
  • Launching a new EC2 instance
  • Elastic Load Balancing (ELB)
  • Setting up an ELB
  • Connecting to the new server via HTTP
  • Connecting to the instance via SSH
  • Relational Database Service (RDS)
  • Create a MySQL RDS database
5. Implement Elasticity/Automate Infrastructure
  • Creating a custom AMI
  • Autoscaling
  • Cloud monitoring (CloudWatch)
  • Setting up Auto Scaling: Part 1
  • Setting up Auto Scaling: Part 2
  • Testing the Auto Scaling
  • Elastic Beanstalk
  • Use Elastic Beanstalk: Part 1
  • Use Elastic Beanstalk: Part 2
  • OpsWorks
  • CloudFormation and CloudFormer
  • CodeDeploy
6. Further Optimize for Performance
  • Caching: AWS Elasticache
  • Caching: AWS CloudFront
  • Search: AWS CloudSearch
7. Going Serverless
  • S3 and Glacier
  • Use S3 for web application hosting
  • Serverless architectures: API Gateway
  • Serverless architectures: AWS Lambda
  • Lambda and the Gateway API
  • Scalable NoSQL data store (DynamoDB)
  • Creating a DynamoDB table
  • Deploy the API and test the application
8. Additional Services for Decoupling Components
  • Simple Queue Service (SQS)
  • Simple Workflow Service (SWF)
  • Simple Notification Service (SNS)
9. Optimize for Cost
  • Keeping tabs on the tab
  • Matching supply with demand
  • Utilizing cost effective resources
Conclusion
  • Next steps

Taught by

Jeff Winesett

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