DevOps Engineering on AWS

• Utilizar las prácticas recomendadas de DevOps para desarrollar, entregar y mantener aplicaciones y servicios a gran velocidad en AWS
• Identificar las ventajas, los roles y las responsabilidades de equipos pequeños y autónomos de DevOps
• Diseñar e implementar una infraestructura en AWS que admita proyectos de desarrollo de DevOps
• Utilizar AWS Cloud9 para escribir, ejecutar y depurar el código

• Haber asistido anteriormente a los cursos de Systems Operations on AWS o Developing on AWS
• Disponer de conocimientos prácticos en uno o varios lenguajes de programación de alto nivel, como C#, Java, PHP, Ruby o Python
• Conocimientos intermedios sobre la administración de sistemas Linux o Windows a nivel de la línea de comandos
• Dos o más años de experiencia en el aprovisionamiento, la operación y la administración de entornos de AWS

Modulo 0: Course overview

• Course objective
• Suggested prerequisites
• Course overview breakdown

Modulo 1: Introduction to DevOps

• What is DevOps?
• The Amazon journey to DevOps
• Foundations for DevOps

Modulo 2: Infrastructure Automation

• Introduction to Infrastructure Automation
• Diving into the AWS CloudFormation template
• Modifying an AWS CloudFormation template
• Demonstration: AWS CloudFormation template structure, parameters, stacks, updates, importing resources, and drift detection

Modulo 3: AWS Toolkits

• Configuring the AWS CLI
• AWS Software Development Kits (AWS SDKs)
• AWS SAM CLI
• AWS Cloud Development Kit (AWS CDK)
• AWS Cloud9
• Demonstration: AWS CLI and AWS CDK
• Hands-on lab: Using AWS CloudFormation to provision and manage a basic infrastructure

Modulo 4: Continuous integration and continuous delivery (CI/CD) with development tools

• CI/CD Pipeline and Dev Tools
• Demonstration: CI/CD pipeline displaying some actions from AWS CodeCommit, AWS CodeBuild, AWS CodeDeploy and AWS CodePipeline
• Hands-on lab: Deploying an application to an EC2 fleet using AWS CodeDeploy DevOps Engineering on AWS

Modulo 5: Continuous integration and continuous delivery (CI/CD) with development tools

• AWS CodePipeline
• Demonstration: AWS integration with Jenkins
• Hands-on lab: Automating code deployments using AWS CodePipeline

Modulo 6: Introduction to Microservices

• Introduction to Microservices

Modulo 7: DevOps and containers

• Deploying applications with Docker
• Amazon Elastic Container Service and AWS Fargate
• Amazon Elastic Container Registry and Amazon Elastic Kubernetes service
• Demonstration: CI/CD pipeline deployment in a containerized application

Modulo 8: DevOps and serverless computing

• AWS Lambda and AWS Fargate
• AWS Serverless Application Repository and AWS SAM
• AWS Step Functions
• Demonstration: AWS Lambda and characteristics
• Demonstration: AWS SAM quick start in AWS Cloud9
• Hands-on lab: Deploying a serverless application using AWS Serverless Application Model (AWS SAM) and a CI/CD Pipeline

Modulo 9: Deployment strategies

• Continuous Deployment
• Deployments with AWS Services

Modulo 10: Automated testing

• Introduction to testing
• Tests: Unit, integration, fault tolerance, load, and synthetic
• Product and service integrations DevOps Engineering on AWS

Modulo 11: Security automation

• Introduction to DevSecOps
• Security of the Pipeline
• Security in the Pipeline
• Threat Detection Tools
• Demonstration: AWS Security Hub, Amazon GuardDuty, AWS Config, and Amazon Inspector

Modulo 12: Configuration management

• • Introduction to the configuration management process
  • AWS services and tooling for configuration management
  • Hands-on lab: Performing blue/green deployments with CI/CD pipelines and Amazon Elastic

Modulo 13: Observability

• Introduction to observability
• AWS tools to assist with observability
• Hands-on lab: Using AWS DevOps tools for CI/CD pipeline automations

Modulo 14: Reference architecture (Optional module)

• Reference architectures

Modulo 15: Course summary

• Components of DevOps practice
• CI/CD pipeline review
• AWS Certification

• Documentación del curso DevOps Engineering on AWS

• Formador Certificado por AWS
• Más de 5 años de experiencia profesional
• Más de 4 años de experiencia docente
• Profesional activo en empresas del sector IT