Advanced Developing on AWS (AWS-ADV-DEV)

The Advanced Developing on AWS course uses the real-world scenario of taking a legacy, on-premises monolithic application and refactoring it into a serverless microservices architecture. 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 cloud-based, cloud-native architectures; and applying the tenets of the Twelve-Factor Application methodology.

Course Information

Price: $2,025.00
Duration: 3 days
Certification: None
Exam: 
Learning Credits:
Continuing Education Credits:
Course Delivery Options

Check out our full list of training locations and learning formats. Please note that the location you choose may be an Established HD-ILT location with a virtual live instructor.

Train face-to-face with the live instructor.

Access to on-demand training content anytime, anywhere.

Attend the live class from the comfort of your home or office.

Interact with a live, remote instructor from a specialized, HD-equipped classroom near you. An SLI sales rep will confirm location availability prior to registration confirmation.

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Prerequisites:

We recommend that attendees of this course have the following prerequisites:

  • 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 course, and then a minimum of 6 months of application of those concepts in a real-world environment.

 

Target Audience:

Experienced software developers who are already familiar with AWS services

 

Course Objectives:

In this course, you will learn how to:

  • Analyze a monolithic application architecture to determine logical or programmatic breakpoints 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.

 

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 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

 

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