Course Overview

This three-day advanced course covers advanced development topics such as architecting for a cloud-native environment; deconstructing on-premises, legacy applications and repackaging them into cloudbased, cloud native architectures; and applying the tenets of the Twelve-Factor Application methodology.

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Level: Advanced

Duration: 3 Days

Delivery Type: Instructor-Led Training

Course Objectives

• 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

Prerequisites

Required

• In-depth knowledge of at least one high-level programming language
• Working knowledge of core AWS services and public cloud implementation
• Developing on AWS

Who Should Go For This Training?

• Experienced software developers who are already familiar with AWS services

Course Outline

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 3: 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 4: Polyglot Persistence & Distributed Complexity

• Polyglot persistence
• DynamoDB best practices
• Distributed complexity
• Steps 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