Day 8: Introduction to Infrastructure as Code (IaC)
Welcome to Week 2 of the Zero to Platform Engineer in 30 Days challenge! 🚀 This week, we’re diving into Infrastructure as Code (IaC) and CI/CD pipelines, two cornerstones of modern platform engineering. Today, we’ll focus on understanding what IaC is, why it matters, and how it helps manage infrastructure efficiently.
What Is Infrastructure as Code (IaC)?
Infrastructure as Code (IaC) is the practice of managing and provisioning infrastructure (e.g., servers, networks, databases) through machine-readable configuration files instead of manual processes.
Key Characteristics of IaC:
- Declarative or Imperative: Define what the infrastructure should look like (declarative) or how to create it step by step (imperative).
- Version Controlled: IaC files are stored in repositories like Git, making it easy to track changes.
- Repeatable: Automate infrastructure provisioning consistently across environments.
Why IaC Matters
In traditional infrastructure management, scaling and maintaining environments can be time-consuming and error-prone. IaC solves this by:
- Improving Consistency: Eliminate human error with automated provisioning.
- Simplifying Scaling: Scale infrastructure on demand with code.
- Enabling Agility: Spin up environments quickly for development, testing, and production.
- Enhancing Collaboration: Teams can collaborate using version control systems like Git.
🎯 Real-World Use Case: Think about how a cloud provider like AWS enables you to create resources (e.g., EC2, S3) programmatically via tools like Terraform or AWS CloudFormation.
Popular IaC Tools
Here are some popular tools in the IaC space:
- Terraform / Opentofu
- Cloud-agnostic.
- Widely used for provisioning infrastructure across multiple providers (AWS, Azure, GCP).
- AWS CloudFormation
- AWS-native IaC tool.
- Best suited for managing resources within the AWS ecosystem.
- Pulumi
- Supports IaC in general-purpose programming languages (e.g., Python, TypeScript).
- Ansible
- Focused on configuration management but also supports provisioning.
In addition to tools like Terraform and CloudFormation, let’s talk about AWS CDK, a powerful framework for defining cloud infrastructure using familiar programming languages.
- AWS CDK (Cloud Development Kit)
- Define infrastructure using programming languages like TypeScript, Python, Java, and Go.
- Generates CloudFormation templates under the hood.
Hands-On: Getting Started with IaC
Let’s explore Terraform and AWS CDK to see how these tools work in practice.
Terraform Example: Creating an S3 Bucket
Step 1: Install Terraform
- Install terraform on your machine, following the official installation guide.
- Verify the installation:
terraform version
Step 2: Create a Terraform Configuration File
- Create a directory for your Terraform project:
mkdir terraform-iac-demo && cd terraform-iac-demo
- Create a file named main.tf:
provider "aws" {
region = "us-west-2"
}
resource "aws_s3_bucket" "zero-to-platform-engineer" {
bucket = 'zero-to-platform-engineer'
acl = "private"
}
Step 3. Initialize Terraform:
terraform init
Step 4. Plan and Apply the Configuration:
terraform plan
terraform apply
🎯 Pro tip: Use the -auto-approve flag to skip the confirmation prompt.
Step 5: Clean Up
terraform destroy
AWS CDK Example: Creating an S3 Bucket
Step 1: Install AWS CDK
- Install the AWS CDK on your machine, following the official installation guide.
- Verify the installation:
cdk --version
Step 2: Create a CDK Project
- Create a directory for your CDK project:
mkdir cdk-iac-demo && cd cdk-iac-demo
- Initialize the CDK project:
cdk init app --language typescript
Step 3: Define Your Infrastructure
- Open the lib/cdk-iac-demo-stack.ts file and add the following:
import * as cdk from 'aws-cdk-lib';
import { Construct } from 'constructs';
import * as s3 from 'aws-cdk-lib/aws-s3';
export class CdkIacDemoStack extends cdk.Stack {
constructor(scope: Construct, id: string, props?: cdk.StackProps) {
super(scope, id, props);
new s3.Bucket(this, 'ZeroToPlatformEngineerBucket', {
bucketName: 'zero-to-platform-engineer-bucket',
versioned: true,
removalPolicy: cdk.RemovalPolicy.DESTROY,
});
}
}
Step 4: Deploy the Infrastructure
- Bootstrap your environment:
cdk bootstrap aws://<account-id>/<region>
- Deploy the infrastructure:
cdk deploy
🎯 Pro tip: Use the —require-approval flag to skip the confirmation prompt.
🎯 When to Use AWS CDK:
- You’re working primarily with AWS.
- You prefer coding infrastructure in a general-purpose language.
🎯 When to Use Terraform:
- You need a multi-cloud solution.
- You prefer a declarative approach with a simpler setup.
Challenges for Today
- Create an S3 bucket using both Terraform and AWS CDK.
- Experiment with adding properties like versioning, encryption, or lifecycle rules.
- Reflect: Which tool felt easier or more intuitive?
What’s Next?
Tomorrow, we’ll explore advanced Terraform configurations, including managing Kubernetes resources programmatically.
Get ready to level up your platform engineering skills! 🚀
👉 Check it out here: Zero to Platform Engineer Repository
Feel free to clone the repo, experiment with the code, and even contribute if you’d like! 🚀
Follow the Series!
🎉 Don’t miss a single step in your journey to becoming a Platform Engineer! 🎉
This post is just the beginning. Here’s what we’ve covered so far and what’s coming up next:
-
Day 2: Day 2: Containers and Docker - The Building Blocks of Cloud Native
-
Day 3: Containers and Kubernetes - The Building Blocks of Cloud Native
-
Day 4: Deployments and Scaling in Kubernetes - Let’s Get Practical
-
Day 6: ConfigMaps and Secrets – Managing Configurations in Kubernetes
👉 Bookmark this blog and check back every day for new posts in the series. 📣 Share your progress on social media with the hashtag #ZeroToPlatformEngineer to connect with other readers!