Learn how to create automatable and repeatable deployments of networks and systems on the AWS platform

In this course, you will create automatable and repeatable deployments of networks and systems on the AWS platform. We will explore the AWS features and tools related to configuration and deployment and common techniques for configuring and deploying systems.

Level

Intermediate

Modality

Classroom training, hands-on labs

Length

3 days

This course is intended for:

  • System administrators
  • Software developers in a DevOps role

In this course, you will learn how to:

  • Use standard AWS infrastructure features such as Amazon Virtual Private Cloud (Amazon VPC), Amazon Elastic Compute Cloud (Amazon EC2), Elastic Load Balancing (ELB), and AWS Auto Scaling from the command line
  • Use AWS CloudFormation to produce stacks of AWS resources that can be deployed in an automated, repeatable fashion
  • Build functioning virtual private networks (VPNs) with Amazon VPC using the AWS Management Console
  • Deploy Amazon EC2 instances using command line calls and troubleshoot common problems with instances
  • Monitor the health of Amazon EC2 instances and other AWS services
  • Manage user identity, AWS permissions, and security in the cloud
  • Manage resource consumption in an AWS account using Amazon CloudWatch, tagging, and AWS Trusted Advisor
  • Select and implement the best strategy for creating reusable Amazon EC2 instances
  • Configure a set of Amazon EC2 instances that launch behind a load balancer, with the system scaling up and down in response to demand
  • Edit and troubleshoot a basic AWS CloudFormation stack definition
We recommend that attendees of this course have the following prerequisites:
 
  • AWS Technical Essentials
  • Background in software development or systems administration
  • Experience maintaining operating systems at the command line, such as PowerShell for Linux, cmd, or Windows PowerShell
  • Basic knowledge of networking protocols, such as TCP/IP and HTTP

This course is delivered through a mix of:

  • Classroom training
  • Hands-on labs
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