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AWS EC2 + pulumi - EBS volume management using Pulumi IaC tool

In this repo, I tried to develop infrastructure on aws with help of pulumi to achieve below use-cases

  • Get details of all EBS volumes attached to an EC2 instance (Source - EC2 Instance)
  • Create Snapshot of each EBS volume attached to source EC2 Instance
  • Create volumes from above created snapshots (Here we need to clone EBS volumes)
  • Attach these newly created cloned EBS volumes to target EC2 Instance

Table of contents

Technologies

Project is created with:

  • AWS - Cloud provider
  • Pulumi - Infrastructure as Code
  • Python - Base programing language of Pulumi

Operating-System

  • Redhat 8
  • Amazon Image

Pre-requisite

  • An AWS Account
  • An AWS CLI needs to be installed
  • Your AWS credentials.
    • You can create a new Access Key on this page.link
  • Python3 needs to be installed in machine
  • Pulumi Engine needs to be installed in machine. link

Set-up

  • Git needs to be installed in host machine

  • Install Python3, pulumi locally.

  • Set up AWS credentials in ~/.aws/credentials.

  • once aws-cli is installed in host machine, set up aws credentials using below command

    $ aws configure
    • This will ask for your AWS access key and AWS Secret as below
      • AWS Access Key ID [None] : ******
      • AWS Secret Access Key [None] : ******
      • Default region name : [leave it none , press enter]
      • Default output format : [leave it none, press enter]

  • Generate new pulumi project

    $ pulumi new

    Note : Create an empty directory and then run 'pulumi new' command as this command generates set of pre-defined files (requirements.txt, Pulumi.yaml,main.py) The pulumi new command creates a new Pulumi project with some basic scaffolding based on the cloud and language specified.

    If this is your first time running pulumi new or most other pulumi commands, you will be prompted to log in to the Pulumi service. The Pulumi CLI works in tandem with the Pulumi service in order to deliver a reliable experience. It is free for individual use, with features available for teams. Hitting ENTER at the prompt opens up a web browser allowing you to either sign in or sign up.

After logging in, the CLI will proceed with walking you through creating a new project.

First, you will be asked for a project name and description. Hit ENTER to accept the default values or specify new values.

Next, you will be asked for the name of a stack. Hit ENTER to accept the default value of dev.

Finally, you will be prompted for some configuration values for the stack. For AWS projects, you will be prompted for the AWS region. You can accept the default value or choose another value like us-west-2.

Usage

  • Files used in this project with their functionality listed
    • requirements.txt :- list of python libs needs to be installed
    • Pulumi.yaml :- Yaml file containing details about pulumi run-time virtual environment
    • main.py :- Python file where logic is being written
    • Pulumi.dev.yaml :- Input parameters like source-instance ID, Target Instance ID, AZ is mentioned in this file.

To run this project, execute below commands.

  • create dummy directory with some valid name 
    mkdir pulumi-workshop
cd pulumi-workshop
  • Next run 'pulumi new' command 
    pulumi new
  • Copy contents of main.py of this repo into your main.py (Auto-generated one)
  • Change Source-Instance-Id , Target-Instance-ID and region in Pulumi.dev.yaml file (Give your instance-ID detials here)
  • Run 'pulumi up' command 
    pulumi up
  • Pulumi will do dry run and show you output, how does your infra looks like. If you are fine with changes, Select 'Yes' and infra will be created.