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  • +44 20 7131 0263
  • Advanced Developing on AWS

    Duration
    3 days
    Delivery
    (Online and onsite)
    Price
    Price Upon Request

    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.

    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 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.

    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 Micro Services

    • 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

    Experienced software developers who are already familiar with AWS services

    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.

    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.

    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 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.

    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 Micro Services

    • 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

    Experienced software developers who are already familiar with AWS services

    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.
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