AWS DevOps Professional
$275.00
Description
DevOps Engineering on AWS demonstrates how to use the most common DevOps patterns to develop, deploy, and maintain applications on AWS. The course covers the core principles of the DevOps methodology and examines a number of use cases applicable to startup, small and medium-sized business, and enterprise development scenarios.
Course Objectives
This course is designed to teach you 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 understand the array of options for enabling a Continuous Integration environment on AWS
- Use AWS CodePipeline to design and implement a Continuous Integration and Delivery pipeline on AWS
- Implement several common Continuous Deployment 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 EC2 Container Service, and Amazon EC2 Container Registry), and decide which technology best fits a given scenario
- 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
Intended Audience
This course is intended for:
- System Administrators
- Software Developers
Prerequisites
We recommend that attendees of this course have the following prerequisites
- Attended Developing on AWS or System Operations on AWS course
- Working knowledge of one or more high-level programming languages (C#, Java, PHP, Ruby, Python, etc.)
- 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)
Course Features
- Lectures 26
- Quizzes 0
- Duration 50 hours
- Skill level All levels
- Language English
- Students 1
- Certificate No
- Assessments Yes
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SDLC Automation
- Apply concepts required to automate a CI/CD pipeline
- Determine source control strategies and how to implement them
- Apply concepts required to automate and integrate testing
- Apply concepts required to build and manage artifacts securely
- Determine deployment/delivery strategies (e.g., A/B, Blue/green, Canary, Red/black) and how to implement them using AWS Services
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Configuration Management and Infrastructure as Code
- Determine deployment services based on deployment needs
- Determine application and infrastructure deployment models based on business needs
- Apply security concepts in the automation of resource provisioning
- Determine how to implement lifecycle hooks on a deployment
- Apply concepts required to manage systems using AWS configuration management tools and services
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Monitoring and Logging
- Determine how to set up the aggregation, storage, and analysis of logs and metrics
- Apply concepts required to automate monitoring and event management of an environment
- Apply concepts required to audit, log, and monitor operating systems, infrastructures, and applications
- Determine how to implement tagging and other metadata strategies
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Policies and Standards Automation
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Incident and Event Response
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High Availability, Fault Tolerance, and Disaster Recovery
- Determine appropriate use of multi-AZ versus multi-region architectures
- Determine how to implement high availability, scalability, and fault tolerance
- Determine the right services based on business needs (e.g., RTO/RPO, cost)
- Determine how to design and automate disaster recovery strategies
- Evaluate a deployment for points of failure
Students List
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