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Advanced Developing on AWS

Price
2,025 USD
3 Days
AWS-141
Classroom Training, Online Training
Amazon Web Services

AWS Training Pass

Take advantage of flexible training options with the AWS Training Pass and get Authorized AWS Training for a full year.

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Prices reflect a 22.5% discount for IBM employees (wherever applicable).
Prices reflect a 24% discount for Kyndryl employees (wherever applicable).
Prices reflect the Accenture employee discount.
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  • Date: 20-May-2024 to 22-May-2024
    Time: 9AM - 5PM US Eastern
    Location: Virtual
    Language: English
    Delivered by: LearnQuest
    Price: 2,025 USD
  • Date: 10-Jun-2024 to 12-Jun-2024
    Time: 9AM - 5PM US Eastern
    Location: Virtual
    Language: English
    Delivered by: LearnQuest
    Price: 2,025 USD
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Course Description

Overview

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.
  • Duration: 3 days

Objectives

Upon completion of the Advanced Developing on AWS course, students will be able 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 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

Audience

  • Experienced software developers who are already familiar with AWS services

Prerequisites

    We recommend that students 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

Topics

Day One 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 Two 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 Three 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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