Managing EC2 and VPC on AWS with Python and Boto3

Managing EC2 and VPC_ AWS with Python and Boto3 Series

Learn how to implement EC2 and VPC resources on AWS using Python API - Boto3! Implement your infrastructure with code!

Created by : Rated :4.6 85033 views

Last Updated: 2024-11-20 07:11:37 English Course Type: Self Learning

You'll be able to implement any sort of infrastructure on AWS with Python using VPCs, Subnets and EC2s!
You'll learn how to code against AWS API using Python and Boto3!
You'll learn how to launch EC2 Instances on AWS using Python and Boto3!
You'll learn how to isolate and control your own infrastructure with Python using Route Tables, Internet Gateways, Security Groups and Rules!
You'll have very good understanding of VPC concepts like Subnets, Route Tables and Internet Gateways by putting all into real-world practice with Python code!
You'll be confident to work with AWS APIs using Python for any kind of AWS Resource on VPC and EC2 Instances!
You'll learn how to read and code against an API documentation!

Do you want to learn how to implement VPC and EC2 resources with Python code on AWS? Do you want to launch EC2 Instances with Python code on AWS? Are you preparing for AWS Solutions Architect Associate Exam and want to put your theory and skills into practice with VPC and EC2? This is the course for you!

In this course, we’ll start by taking a look at the tools and the environment that we need to work with AWS resources. We’ll be using Python 3 and as per the IDE I recommend you to use PyCharm from Jetbrains. It has a free community edition even!

After Iteach you how you can set up your environment on both MacOS and Windows, we’ll create our credentials for AWS as being the AWS Access Key and AWS Secret Access Key for programmatic access to AWS resources. You’ll learn how you can set your AWS credentials globally on your computers using AWS CLI. Before jumping into the implementation, for one last tip, I’ll show you how you can have auto-complete capabilities on your PyCharm IDE with PyBoto3!

Once we’re ready with our environment setup, we’ll start implementing our solution on AWS! And remember we’ll do everything with Python code; not a single thing manually or by hand! We’ll start by creating a VPC. For our own VPC, we’ll provide CIDR IP Block to isolate our resources within that VPC.

Then we will create two subnets; Public and Private. Public Subnet will be where we will put our internet-facing resources like Public EC2 instances and we will definitely launch an EC2 instance in it! To achieve this, we will create an Internet Gateway or IGW and attach it to our VPC. But of course that is not enough. We will create a Route Table for public routes over the internet and also add our Internet Gateway to the Route Table to allow internet access to our Public EC2 Instance. We will also not forget to associate our Public Subnet with this Public Route table so it can be exclusively used by the Public Subnet and its subresources. And finally, we will modify our Public Subnet so it can automatically assign public IP addresses to the resources we will launch within this Public Subnet. That's the way we are going to achieve internet access to and from our Public EC2 Instance and again we will do all of that with our Python code!

Besides, we will create a Private Subnet for our internal resources like a Private EC2 Instance which will only be accessible through the Private or Public Subnet; not open to the world. To achieve this, we will associate our Default Route Table with our Private Subnet and then we will not add our Internet Gateway to this Route Table so it will basically not have any internet access. We will also not enable auto-assign public IP addresses on Private Subnet which is disabled by default. That's basically how we are going to disable internet traffic on our Private EC2 Instance again we will do all this with our Python code!

We will not stop there of course so before we launch our Public EC2 Instance, we will develop a startup bash script to automatically run when we launch our EC2 Instance. In this script, we will first update our packages with yum package manager so we can stay up-to-date with the latest updates and security patches. Then we will install a HTTP server on it and make sure it's working by a startup check command. After we prepare our HTTP server, we will develop a simple HTML page as as greeting and we will write this page to disk to be served when we try to access our Public EC2 Instance. And remember, we will again do all of this with our Python code!

After finishing up launching our EC2 Instances, we'll nove on to learn how to describe EC2 Instances on AWS in detailed way; from their IP adresses to the subnet which they belong to. Then we'll learn how to learn how to manage EC2 Instances in various ways. We'll Stop, Start and Terminate EC2 Instances and again the best part is we will do all of that with our Python code!

Lots of information, hands-on practice and experience is waiting for you in this course on AWS. So, don't miss any more time and join me in this course to sharpen your skills on AWS using Python and Boto3!

Beginner level of Python
Any Python Interpreter. Default is fine but I recommend PyCharm
An AWS Account - Free Tier Available!
General Knowledge on AWS Model would be nice

Beginners on AWS who wants to put their theory in practice
Beginners on AWS who wants to put their theory in practice
AWS Cloud Architect Associate Exam Preppers who wants to practice their theories with real projects
Who wants to learn how to implement Infrastructure-as-a-Code or IaaS on AWS
Who wants to learn how to develop infrastructures on AWS using Python
Who wants to learn how to launch Virtual Private Clouds, Public-Private Subnets and more with Python code on AWS
Who wants to learn how to launch EC2 Instances publicly and privately using Python on AWS

Section 1 : Introduction 5 Lectures 00:14:26
Lecture 1 :
Introduction Preview
Lecture 2 :
About This Course
Lecture 3 :
What We Will Build In This Course
Lecture 4 :
What Do You Need For This Course
Lecture 5 :
Source Code
Section 2 : Preparing The Environment for Development 5 Lectures 00:37:47
Lecture 1 :
Section Overview
Lecture 2 :
About Tools and Environment
Lecture 3 :
Create an AWS Account If You Don_t Already Have It!
Lecture 4 :
Logging in to AWS Console and A Walkthrough
Lecture 5 :
Let_s Create Our AWS Credentials!
Section 3 : Windows ENvironment Setup 5 Lectures 00:13:49
Lecture 1 :
Installing Python 3 and Pip
Lecture 2 :
Installing AWS SDK (CLI)
Lecture 3 :
Preparing CLI with AWS Credentials
Lecture 4 :
Installing Boto3
Lecture 5 :
Verifying The Setup
Section 4 : MacOS Environment Setup 5 Lectures 00:11:28
Lecture 1 :
Installing Python 3 and Pip
Lecture 2 :
Installing AWS SDK (CLI)
Lecture 3 :
Preparing CLI with AWS Credentials
Lecture 4 :
Installing Boto3
Lecture 5 :
Verifying The Setup
Section 5 : Virtual Private Cloud (VPC) with Boto3- Part 1 10 Lectures 00:45:03
Lecture 1 :
Section Overview
Lecture 2 :
Scenario: AWS Console Perspective of What We'll Build
Lecture 3 :
Setting Up Our Project with PyCharm IDE
Lecture 4 :
Let's Check Out Boto3 API Docs!
Lecture 5 :
[Tip] Auto-Complete Magic with Pyboto3 on PyCharm IDE!
Lecture 6 :
Creating a Virtual Private Cloud (VPC)
Lecture 7 :
Adding Name Tag To An AWS Resource (VPC)
Lecture 8 :
Create an Internet Gateway (IGW)
Lecture 9 :
Attaching the Internet Gateway to VPC
Lecture 10 :
Section Summary
Section 6 : Virtual Private Cloud (VPC) with Boto3- Part 2 8 Lectures 00:34:05
Lecture 1 :
Section Overview
Lecture 2 :
Creating a Public Subnet
Lecture 3 :
Creating a Route Table for Public Routes
Lecture 4 :
Adding IGW Route to Route Table
Lecture 5 :
Associating Public Subnet with Public Route Table
Lecture 6 :
Allowing Auto-Assign Public IP Address on Subnet
Lecture 7 :
Creating a Private Subnet
Lecture 8 :
Section Summary
Section 7 : Elastic Compute Cloud (EC2) with Boto3 Part 1 13 Lectures 01:08:48
Lecture 1 :
Section Overview
Lecture 2 :
Scenario: AWS Console Perspective of What We'll Build
Lecture 3 :
Creating a Key Pair
Lecture 4 :
Creating a Security Group
Lecture 5 :
Adding a Rule to Security Group
Lecture 6 :
Creating a Startup Script for EC2 Instance
Lecture 7 :
Launching an EC2 Instance Within Our Public Subnet
Lecture 8 :
Launching an EC2 Instance Within Our Private Subnet
Lecture 9 :
!!! It's Time to Launch the Whole Infrastructure!
Lecture 10 :
Let's Check if Everything is Running on AWS Console!
Lecture 11 :
Connecting to EC2 Instance and Verifying Startup Script Works
Lecture 12 :
Checking Public Access for Private EC2 Instance
Lecture 13 :
Section Summary
Section 8 : Elastic Compute Cloud (EC2) with Boto3 Part 2 7 Lectures 00:27:06
Lecture 1 :
Section Overview
Lecture 2 :
Describing EC2 Instance
Lecture 3 :
Modifying EC2 Instance
Lecture 4 :
Stopping EC2 Instance
Lecture 5 :
Starting EC2 Instance
Lecture 6 :
Terminating EC2 Instance
Lecture 7 :
Section Summary
Section 9 : Wrapping Up 3 Lectures 00:08:58
Lecture 1 :
What Have We Learned?
Lecture 2 :
What Comes Next?
Lecture 3 :
Thank You!

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Niyazi Erdogan,

536795 Course Views

9 Courses

Hi, I'm Niyazi ErdoÄŸan. I'm a software engineer and AWS Certified Solutions Architect with over ten years of experience in various fields. I'm living in one of the most beautiful cities in the world, Istanbul. I'm a self-taught programmer and I've been programming since I was in middle-school. My experience ranges from embedded development to server-side and client-side development technologies.