Architecting on AWS covers the fundamentals of AWS. It is designed to teach Solution Architects how to optimize the use of the AWS Cloud by understanding AWS services and how these services fit into a cloud solution. Your architectural solution may differ depending on industry and size of business. Because there is no one-size-fits-all design, this course highlights some AWS Cloud design patterns to help you learn how a service may fit in the overall cloud design. It also covers the best practices and lessons learned.
We strongly recommend that you meet the course prerequisites, including attending AWS Essentials, before you attend the Architecting on AWS course. Take a short self-assessment to see if you are ready.
This course is designed to teach you how to:
- Make architectural decisions based on the AWS recommended architectural principles and best practices
- Demonstrate basic knowledge of security best practices when using AWS
- Create a cloud migration roadmap and a plan
- Leverage AWS services to make your servers scalable
- Create a business continuity plan and achieve High Availability
This course is intended for:
- Solutions Architects
- Solution Design Engineers
We recommend that attendees of this course have the following prerequisites:
- Attended AWS Essentials course. Take a short self-assessment to see if you are ready.
- Working knowledge of distributed systems
- Familiarity with general networking concepts
- Working knowledge of multi-tier architectures
- Familiarity with cloud computing concepts
This course will be delivered through a mix of:
- Instructor-Led Training (ILT)
- Hands-on Labs
- 3 days
Note: course outline may vary slightly based on the regional location and/or language in which the class is delivered.
Day 1
- Leveraging Global Infrastructure
- Extending On-Premises into the Cloud
- Computing in the Cloud
- Designing Storage Subsystems
Day 2
- Distributed Environments
- Choosing a Datastore
- Designing Web-Scale Media Hosting
- Event Driven Scaling
- Infrastructure as Code
Day 3
- Orchestrating Batch Processing
- Reviewing Large Scale Design Patterns
- Designing for Cost
- Planning for High Availability and Disaster Recovery
