In this course, you will learn how to:
Use the principal concepts and practices behind the DevOps methodology
Design and implement an infrastructure on AWS that supports one or more DevOps development projects
Use AWS CloudFormation and AWS OpsWorks to deploy the infrastructure necessary to create development, test, and production environments for a software development project
Use AWS CodeCommit and AWS CodeBuild to understand the array of options for enabling a continuous integration (CI) environment on AWS
Use AWS CodePipeline to design and implement a continuous integration and continuous delivery (CI/CD) pipeline on AWS
Use AWS CodeStar to manage all software development activities in one place
Implement several common continuous deployment (CD) use cases using AWS technologies, including blue/green deployment and A/B testing
Distinguish between the array of application deployment technologies available on AWS, including AWS CodeDeploy, AWS OpsWorks, AWS Elastic Beanstalk, Amazon Elastic Container Service (Amazon ECS), and Amazon Elastic Container Registry (Amazon ECR), and decide which technology best fits a given scenario
Use Amazon EC2 Systems Manager for patch management
Leverage automated testing in different stages of a CI/CD pipeline
Fine-tune the applications you deliver on AWS for high performance, and use AWS tools and technologies to monitor your application and environment for potential issues
We recommend that attendees of this course have the following prerequisites:
Systems Operations on AWS or Developing on AWS
Working knowledge of one or more high-level programming languages, such as C#, Java, PHP, Ruby, or Python
Intermediate knowledge of administering Linux or Windows systems at the command-line level
Working experience with AWS using both the AWS Management Console and the AWS Command Line Interface (AWS CLI)
Domain 1: Continuous Delivery and Process Automation
1.1 Demonstrate an understanding of application lifecycle management:
Application deployment management strategies such as rolling deployments and A/B.
Version control, testing, build tools and bootstrapping.
1.2 Demonstrate an understanding of infrastructure configuration and automation.
1.3 Implement and manage continuous delivery processes using AWS services.
1.4 Develop and manage scripts and tools to automate operational tasks using the AWS SDKs, CLI,
Domain 2: Monitoring, Metrics, and Logging
2.1 Monitor availability and performance.
2.2 Monitor and manage billing and cost optimization processes.
2.3 Aggregate and analyze infrastructure, OS and application log files.
2.4 Use metrics to drive the scalability and health of infrastructure and applications.
2.5 Analyze data collected from monitoring systems to discern utilization patterns.
2.6 Manage the lifecycle of application and infrastructure logs
2.7 Leverage the AWS SDKs, CLIs and APIs for metrics and logging.
Domain 3: Security, Governance, and Validation
3.1 Implement and manage Identity and Access Management and security controls.
3.2 Implement and manage protection for data in-flight and at rest.
3.3 Implement, automate and validate cost controls for AWS resources.
3.4 Implement and manage automated network security and auditing.
3.5 Apply the appropriate AWS account and billing set-up options based on business requirements.
3.6 Implement and manage AWS resource auditing and validation.
3.7 Use AWS services to implement IT governance policies.
Domain 4: High Availability and Elasticity
4.1 Determine appropriate use of multi- Availability Zone versus multi-region architectures.
4.2 Implement self-healing application architectures.
4.3 Implement the most appropriate front-end scaling architecture.
4.4 Implement the most appropriate middle-tier scaling architecture.
4.5 Implement the most appropriate data storage scaling architecture.
4.6 Demonstrate an understanding of when to appropriately apply vertical and horizontal scaling