This course is intended for experienced software developers who are already familiar with AWS services.
In this course, you will:
- Analyze a monolithic application architecture to determine logical or programmatic break points where the application can be broken up across different AWS services
- Apply Twelve-Factor Application manifesto concepts and steps while migrating from a monolithic architecture
- Recommend the appropriate AWS services to develop a microservices based cloud-native application
- Use the AWS API, CLI, and SDKs to monitor and manage AWS services
- Migrate a monolithic application to a microservices application using the 6 Rs of migration
- Explain the SysOps and DevOps interdependencies necessary to deploy a microservices application in AWS
We recommend that attendees of this course have:
- In-depth knowledge of at least one high-level programming language
- Working knowledge of core AWS services and public cloud implementation
- Completion of the Developing on AWS classroom training, and then a minimum of 6 months of application of those concepts in a real world environment
- Course: polish
Day 1
Module 1: The cloud journey
• Common off-cloud architecture
• Introduction to Cloud Air
• Monolithic architecture
• Migration to the cloud
• Guardrails
• The six R’s of migration
• The Twelve-Factor Application Methodology
• Architectural styles and patterns
• Overview of AWS Services
• Interfacing with AWS Services
• Authentication
• Infrastructure as code and Elastic Beanstalk
• Demonstration: Walk through creating base infrastructure with AWS CloudFormation in the AWS console
• Hands-on lab 1: Deploy your monolith application using AWS Elastic Beanstalk
Module 2: Gaining Agility
• DevOps
• CI/CD
• Application configuration
• Secrets management
• CI/CD Services in AWS
• Demonstration: Demo AWS Secrets Manager
Day 2
Module 5: Monolith to MicroServices
• Microservices
• Serverless
• A look at Cloud Air
• Microservices using Lambda and API Gateway
• SAM
• Strangling the Monolith
• Hands-on lab: Using AWS Lambda to develop microservices
Module 6: Polyglot Persistence & Distributed Complexity
• Polyglot persistence
• DynamoDB best practices
• Distributed complexity
• Step functions
Day 3
Module 5: Resilience and Scale
• Decentralized data stores
• Amazon SQS
• Amazon SNS
• Amazon Kinesis Streams
• AWS IoT Message Broker
• Serverless event bus
• Event sourcing and CQRS
• Designing for resilience in the cloud
• Hands-on lab: Exploring the AWS messaging options
Module 6: Security and Observability
• Serverless Compute with AWS Lambda
• Authentication with Amazon Cognito
• Debugging and traceability
• Hands-on lab: Developing microservices on AWS
• Hands-on lab 8: Automating deployments with Cloud Formation