Advanced Developing on AWS
Price
$2,550.00 (AUD) $2,550.00 (NZD) $2,550.00 (SGD)
Duration
3 Days
Modality
Live Online
Course code
AWS-ADV-DEV
Course Overview
The Advanced Developing on AWS course uses the real-world scenario of taking a legacy, on premise 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-premise, legacy applications and repackaging them into cloud-based, cloud native architectures; and applying the tenets of the 12 factor application methodology.
Course Objectives
In this course, you will learn how to:
- Analyze a monolithic application architecture to determine logical or programmatic break points where the application can be broken up across different AWS services.
- Apply 12 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.
Target Audience
This course is intended for:
- Experienced software developers who are already familiar with AWS services.
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
This course is intended for:
- Experienced software developers who are already familiar with AWS services.
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.
Module Breakdown - For a course module breakdown click here
Module 1
The Cloud Journey
- Level setting / recap of some core fundamentals, such as
- AWS Global Infrastructure
- Authentication
- SDK usage
- Architectural styles and patterns
- Introduction to our monolithic application, Cloud Air and introduce our compelling event project timeline
- Migration to AWS and design guardrails
- Factor app and considerations for AWS
- Using AWS Elastic Beanstalk to meet our compelling event / Rehost (Lift and Shift
Module 2
Gaining Agillity
- DevOps – from a developer’s perspective
- Build / Release / Run
- Continuous Integration / Continuous Delivery / Continuous Deployment
- Separating configuration from code
- Secrets Management
- CodeCommit, CodeBuild, CodeDeploy, CodePipeline & CodeStar
Module 3
Monolith to Microservices
- Learning the characteristics of Microservices
- Domain-Driven Design and bounded context
- Microservices organization and structure
- Evolution of architecture
- Serverless mindset
- Peeling the onion: identifying candidate microservices in our monolithic codebases
- Building Microservices using Lambda & API Gateway
- CloudFormation
- Testing and debugging using SAM CLI
- AWS Cloud Development Kit (CDK).
Module 4
Polyglot Persistence and Distributed Complexity
- Polyglot persistence for Microservices
- DynamoDB and scaling for heavy read and write workloads
- Decentralized Data Stores
- Transaction integrity in a distributed system
- CAP Theorem
- Tracking transactions through distributed microservices
- Preventing I/O Explosion
- Coordination and visibility of Microservices in AWS
- AWS Step Functions
Module 5
Resilience and Scale in AWS
- Command Query Responsibility Segregation (CQRS)
- Event Sourcing
- Smart endpoints and dumb pipes
- Amazon Kinesis Streams
- AWS IoT Publish/Subscribe
- AWS IoT Message Broker
- Synchronous Decoupling
- Asynchronous Decoupling
- Amazon SQS and Amazon SNS
- Consumption vs Journal models
- Serverless Event Bus
- Designing for failure
- Circuit Breaker Patterns
- Caching
- Idempotency
Module 6
Security and Observability
- Authentication with Amazon Cognito
- API Authorization, throttling, quotas and tracking
- Debugging and Traceability using AWS X-Ray