Programm
Tag 1
Module 1: Introduction to DevOps
Module 2: Infrastructure automation
Module 4: Continuous integration and continuous delivery (CI/CD) with development tools
Tag 2
Module 4: Continuous integration and continuous delivery (CI/CD) with development tools (continued)
Module 5: Introduction to Microservices
Module 6: DevOps and containers
Module 7: DevOps and serverless computing
Module 8: Deployment strategies
Module 9: Automated testing
Tag 3
Module 10: Security automation
Module 11: Configuration management
Module 12: Observability
Module 13: Reference architecture (Optional module)
Module 14: Course summary
Module 1: Introduction to DevOps
- What is DevOps?
- The Amazon journey to DevOps
- Foundations for DevOps
Module 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
- 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
Module 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
Tag 2
Module 4: Continuous integration and continuous delivery (CI/CD) with development tools (continued)
- AWS CodePipeline
- Demonstration: AWS integration with Jenkins
- Hands-on lab: Automating code deployments using AWS CodePipeline
Module 5: Introduction to Microservices
- Introduction to Microservices
Module 6: 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
Module 7: 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
Module 8: Deployment strategies
- Continuous Deployment
- Deployments with AWS Services
Module 9: Automated testing
- Introduction to testing
- Tests: Unit, integration, fault tolerance, load, and synthetic
- Product and service integrations
Tag 3
Module 10: 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
Module 11: 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 Container Service (Amazon ECS)
Module 12: Observability
- Introduction to observability
- AWS tools to assist with observability
- Hands-on lab: Using AWS DevOps tools for CI/CD pipeline automations
Module 13: Reference architecture (Optional module)
- Reference architectures
Module 14: Course summary
- Components of DevOps practice
- CI/CD pipeline review
- AWS Certification
Ziele
"DevOps Engineering on AWS" demonstriert die Verwendung der gängigsten DevOps-Muster zur Entwicklung, Bereitstellung und Wartung von Anwendungen in AWS.
Der Kurs behandelt die zentralen Prinzipien der DevOps-Methode und untersucht eine Reihe von Anwendungsfällen für Szenarien bei Startups, kleinen und mittelständischen Unternehmen und zur Unternehmensentwicklung.
.... Zur Videobeschreibung
Der Kurs behandelt die zentralen Prinzipien der DevOps-Methode und untersucht eine Reihe von Anwendungsfällen für Szenarien bei Startups, kleinen und mittelständischen Unternehmen und zur Unternehmensentwicklung.
.... Zur Videobeschreibung
Voraussetzungen
Besuch der Seminare AWSS01 Systems Operations on Amazon Web Services und AWSD01 Developing on Amazon Web Services
- Praktische Kenntnisse in zumindest einer höheren Programmiersprache (C#, Java, PHP, Ruby, Python usw.)
- Fortgeschrittene Anfängerkenntnisse beim Verwalten von Linux- oder Windows-Systemen auf Befehlszeilenebene
- Praktische AWS-Erfahrung, sowohl mit der AWS Management Console als auch mit der AWS-Befehlszeilenschnittstelle.