Job Meter = High
DevOps Engineering on AWS
30 Hours
Online Instructor-led Training
USD 1399 (About this Course
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-medium business, and enterprise development scenarios.
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Course Objective
Target Audience
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Course Objective
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
- Set up Git on AWS and understand the array of options for enabling a Continuous Integration environment on AWS
- Use the core principles of Continuous Integration and Continuous Deployment
- 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, and Amazon EC2 Container Service), 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
Target Audience
This course is intended for:
- System Administrators
- Software Developers
DevOps Engineering on AWS
Course Details & Curriculum
Day 1
- What is DevOps?
- Infrastructure as Code, Part 1: Design and Security
- Infrastructure as Code, Part 2: CloudFormation and Configuration Management
Day 2
- Continuous Integration in the Cloud
- Continuous Delivery on AWS
- Deploying Applications on AWS, Part 1
Day 3
- Deploying Applications on AWS, Part
- Putting It All Together
- Performance-Tuning Your Deployments
- Administering and Automating Your Infrastructure
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