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Advanced Developing on AWS

 

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

Duration: 3 days

Who is it for: Experienced software developers who are already familiar with AWS services.

Layout: This course includes presentations, demonstrations, and hands-on labs

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

Modules

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

Gaining Agility

  • DevOps
  • CI/CD
  • Application configuration
  • Secrets management
  • CI/CD Services in AWS
  • Demonstration: Demo AWS Secrets Manager

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

Polyglot Persistence & Distributed Complexity

  • Polyglot persistence
  • DynamoDB best practices
  • Distributed complexity
  • Step functions

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

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

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