It's the moment of truth! In this chapter, you will build your first real infrastructure with Terraform, putting together everything you've learned: the AWS services from Part II and the Terraform language from Part III. We start with the foundation of any architecture: a VPC with subnets. Remember the concepts from Chapter 6, which you will now write in code.
What we are going to build
Throughout the chapter, we will set up a simple but complete architecture:
┌──────────── VPC (10.0.0.0/16) ────────────┐ │ │ │ ┌─ Public subnet (10.0.1.0/24) ─┐ │ │ │ (our server will go here) │ │ │ └───────────────────────────────┘ │ │ │ │ + Internet Gateway (gateway to internet) │ │ + Route Table (routes) │ └────────────────────────────────────────────┘
In this subchapter, we create the VPC, a subnet, and basic internet connectivity. In the following ones, we will add the server, the firewall, the IP, and the outputs.
Step 1: Configure the provider
Every project starts by configuring the AWS provider (remember subchapter 11.1). We create a file, for example main.tf:
terraform {
required_providers {
aws = {
source = "hashicorp/aws"
version = "~> 5.0"
}
}
}
provider "aws" {
region = "eu-west-1" # Ireland (choose your region, Chapter 3)
}Step 2: Create the VPC
The VPC is our private network (remember subchapter 6.1). With a range of 10.0.0.0/16:
resource "aws_vpc" "principal" {
cidr_block = "10.0.0.0/16"
enable_dns_support = true
enable_dns_hostnames = true
tags = {
Name = "mi-primera-vpc"
}
}cidr_blockdefines the address range (subchapter 6.1).- The
enable_dns_*options allow resources to have DNS names (useful for the server to have a name). tagsgives a human-readable name to the resource (it's highly recommended to tag everything).
Step 3: Create a public subnet
Inside the VPC, we create a subnet (subchapter 6.2). We place it in a specific availability zone:
resource "aws_subnet" "publica" {
vpc_id = aws_vpc.principal.id # ← reference to the VPC
cidr_block = "10.0.1.0/24"
availability_zone = "eu-west-1a"
map_public_ip_on_launch = true # automatic public IP
tags = {
Name = "subred-publica"
}
}Notice vpc_id = aws_vpc.principal.id: it's a reference (subchapter 10.3). We tell the subnet "you belong to the VPC I created before." This creates the dependency: Terraform knows it must create the VPC first.
map_public_ip_on_launch = true makes resources in this subnet automatically receive a public IP, part of what makes it "public."
Step 4: Create the Internet Gateway
For the subnet to be truly public, it needs a gateway to the internet (subchapter 6.3):
This creates the Internet Gateway and connects it to our VPC.
Step 5: Create the Route Table and associate it
The Internet Gateway alone is not enough: you have to tell the subnet to use that gateway to access the internet. This is done with a route table (subchapter 6.4):
resource "aws_route_table" "publica" {
vpc_id = aws_vpc.principal.id
route {
cidr_block = "0.0.0.0/0" # all internet
gateway_id = aws_internet_gateway.igw.id # goes out through the IGW
}
tags = {
Name = "rt-publica"
}
}
resource "aws_route_table_association" "publica" {
subnet_id = aws_subnet.publica.id
route_table_id = aws_route_table.publica.id
}This is exactly what we saw in subchapter 6.4: the route 0.0.0.0/0 → Internet Gateway is what makes the subnet public. The route_table_association connects the table to our subnet.
The result
With these five steps, you have a functional network:
✓ VPC (10.0.0.0/16) ✓ Public subnet (10.0.1.0/24) in eu-west-1a ✓ Internet Gateway connected ✓ Route Table that sends internet traffic through the IGW ✓ Association of the table to the subnet
If you now run terraform init and terraform plan (subchapter 11.4), you would see something like:
Plan: 5 to add, 0 to change, 0 to destroy. + aws_vpc.principal + aws_subnet.publica + aws_internet_gateway.igw + aws_route_table.publica + aws_route_table_association.publica
And with terraform apply (typing yes), Terraform would create the entire network in the correct order automatically, thanks to the references between resources.
The power of this: you just defined a complete network in a few lines of text. You can reuse, version in Git, and recreate this same configuration as many times as you want (remember the problems of manual provisioning from Chapter 9). And if you delete it with
destroy, it disappears cleanly.
What you should remember
- Every architecture starts with the network: VPC + subnets + connectivity.
- The steps: configure the provider, create the VPC, the subnet, the Internet Gateway, the Route Table, and its association.
- References (
aws_vpc.principal.id) connect resources and create dependencies, so Terraform creates them in the correct order. - The route
0.0.0.0/0to the Internet Gateway is what makes the subnet public (just as we saw in Chapter 6, now in code). - Tag (
tags) all your resources with readable names: it's a good practice.
In the next subchapter, we will put an EC2 server inside this public subnet.
Cloud, AWS & Terraform — From Zero to Expert
Chapter 1 · What is cloud computing
- 1.1 The traditional client-server model
- 1.2 Problems the cloud came to solve
- 1.3 On-premise vs cloud vs hybrid
- 1.4 The three service models: IaaS, PaaS, SaaS
- 1.5 The five pillars of cloud (according to NIST)
- 1.6 Real advantages: elasticity, pay-as-you-go, global availability
Chapter 2 · The cloud market and major providers
- 2.1 AWS, Azure and GCP: differences and market share
- 2.2 Why learn AWS first
- 2.3 Concepts that are universal among providers
Chapter 3 · Regions, availability zones and edge
- 3.1 What is an AWS region and how to choose it
- 3.2 Availability Zones: high availability by design
- 3.3 Edge locations and CloudFront
- 3.4 Latency, resilience and data sovereignty
Chapter 4 · Compute: EC2
- 4.1 Instances: types, families and when to choose each
- 4.2 AMIs, key pairs and Security Groups
- 4.3 Instance lifecycle
- 4.4 Elastic IPs and Placement Groups
- 4.5 Savings Plans vs Reserved vs On-Demand vs Spot
Chapter 5 · Storage: S3
- 5.1 Buckets, objects and keys
- 5.2 Storage classes (Standard, IA, Glacier…)
- 5.3 Versioning and object lifecycle
- 5.4 Bucket policies and ACLs
- 5.5 Static website hosting
Chapter 6 · Networking: VPC
- 6.1 What is a VPC and why you need it
- 6.2 Public and private subnets
- 6.3 Internet Gateway and NAT Gateway
- 6.4 Route Tables and Network ACLs
- 6.5 VPC Peering and endpoints
Chapter 7 · Identity and access: IAM
- 7.1 Users, groups, roles and policies
- 7.2 The principle of least privilege
- 7.3 Identity-based vs resource-based policies
- 7.4 MFA and temporary credentials (STS)
- 7.5 IAM security best practices
Chapter 8 · Managed databases
- 8.1 RDS: engines, Multi-AZ and read replicas
- 8.2 Aurora and its advantages over vanilla RDS
- 8.3 DynamoDB: key-value / document model
- 8.4 ElastiCache for in-memory cache
- 8.5 When to use each type of database
Chapter 9 · Why Infrastructure as Code
- 9.1 Problems with manual provisioning
- 9.2 Declarative vs imperative IaC
- 9.3 Terraform vs CloudFormation vs Pulumi vs CDK
- 9.4 The plan → apply → destroy cycle
Chapter 10 · HCL: the Terraform language
- 10.1 Resource, variable, output, locals blocks
- 10.2 Data types: string, number, bool, list, map, object
- 10.3 Expressions, references and built-in functions
- 10.4 Conditionals and loops (count, for_each, for)
Chapter 11 · Providers and state
- 11.1 How the AWS provider works
- 11.2 The terraform.tfstate file and its importance
- 11.3 Local state vs remote state (S3 + DynamoDB)
- 11.4 Essential commands: init, plan, apply, destroy, fmt, validate
Chapter 12 · Your first real infrastructure in Terraform
- 12.1 Create a VPC with subnets from scratch
- 12.2 Launch a public EC2 instance
- 12.3 Associate a Security Group and an Elastic IP
- 12.4 Outputs and references between resources
- 12.5 Team workflow: PR review of plans
Chapter 13 · Load balancing and auto scaling
- 13.1 Application Load Balancer vs Network Load Balancer
- 13.2 Target Groups, listeners and rules
- 13.3 Auto Scaling Groups: policies and metrics
- 13.4 Warm pools and lifecycle hooks
Chapter 14 · Serverless with Lambda
- 14.1 The Lambda execution model
- 14.2 Triggers: API Gateway, S3, DynamoDB Streams, SQS
- 14.3 Dependency management and layers
- 14.4 Cold starts and strategies to reduce them
- 14.5 Limits and anti-patterns
Chapter 15 · Messaging and events
- 15.1 SQS: standard vs FIFO queues, DLQ
- 15.2 SNS: topics, subscriptions, fan-out
- 15.3 EventBridge: event buses and rules
- 15.4 Patterns: pub/sub, decoupling, saga
Chapter 16 · Content delivery and DNS
- 16.1 Route 53: record types and routing policies
- 16.2 CloudFront: distributions, caches and origins
- 16.3 ACM: free SSL/TLS certificates
- 16.4 WAF integrated with CloudFront
Chapter 17 · Containers on AWS
- 17.1 Docker: quick review of key concepts
- 17.2 ECR: private image registry
- 17.3 ECS: task definitions, services, Fargate vs EC2
- 17.4 EKS: when Kubernetes and when not
Chapter 18 · Modules: reuse and composition
- 18.1 Anatomy of a Terraform module
- 18.2 Input variables, outputs and dependencies
- 18.3 Local modules vs Terraform Registry modules
- 18.4 Module versioning with Git tags
- 18.5 Design of generic vs domain-specific modules
Chapter 19 · Workspaces and environment management
- 19.1 Terraform workspaces: use cases and limitations
- 19.2 Directory strategy per environment (dev/stg/prod)
- 19.3 Terragrunt: DRY for environment configurations
- 19.4 Environment variables and .tfvars files
Chapter 20 · Remote backends and locking
- 20.1 Configure S3 + DynamoDB as backend
- 20.2 State locking: avoiding team corruption
- 20.3 State migration between backends
- 20.4 terraform import: bring existing resources into state
Chapter 21 · Infrastructure testing
- 21.1 Terraform validate and fmt in CI
- 21.2 Checkov and tfsec: static security analysis
- 21.3 Terratest: integration tests in Go
- 21.4 Contract testing between modules
Chapter 22 · Terraform in CI/CD
- 22.1 Basic pipeline: lint → plan → apply in GitHub Actions
- 22.2 Atlantis: GitOps for Terraform
- 22.3 Terraform Cloud / HCP Terraform
- 22.4 Drift detection and automatic reconciliation
Chapter 23 · Defense in depth
- 23.1 AWS Organizations and Service Control Policies
- 23.2 AWS Config: continuous compliance
- 23.3 GuardDuty: threat detection
- 23.4 Security Hub: centralized view
- 23.5 KMS: key management and rotation
- 23.6 Secrets Manager vs Parameter Store
Chapter 24 · Observability: logs, metrics and traces
- 24.1 CloudWatch Logs, metrics and alarms
- 24.2 CloudWatch Dashboards and Contributor Insights
- 24.3 X-Ray: distributed tracing
- 24.4 OpenTelemetry on AWS
- 24.5 Managed Grafana and Managed Prometheus
Chapter 25 · Cost optimization
- 25.1 AWS Cost Explorer and budgets with alerts
- 25.2 Trusted Advisor and Compute Optimizer
- 25.3 Rightsizing: how to detect overprovisioning
- 25.4 Savings Plans vs Reserved Instances: strategic decision
- 25.5 FinOps: culture and processes to control spending
Chapter 26 · High availability and disaster recovery
- 26.1 RTO and RPO: defining objectives
- 26.2 Strategies: backup/restore, pilot light, warm standby, multi-site
- 26.3 Route 53 health checks and automatic failover
- 26.4 AWS Backup: centralized backup policy
Chapter 27 · AWS Well-Architected Framework
- 27.1 The six pillars: operational excellence, security, reliability, performance efficiency, cost optimization, sustainability
- 27.2 Well-Architected Tool: formal reviews
- 27.3 How to apply the framework in design decisions
Chapter 28 · Serverless architectures at scale
- 28.1 Event-driven architecture with Lambda + EventBridge
- 28.2 Saga pattern for distributed transactions
- 28.3 Step Functions: orchestration of complex workflows
- 28.4 Lambda@Edge and CloudFront Functions
Chapter 29 · Data platforms on AWS
- 29.1 Data Lake with S3, Glue and Athena
- 29.2 Kinesis Data Streams and Firehose for streaming
- 29.3 Redshift: data warehousing at scale
- 29.4 Lake Formation: data governance
Chapter 30 · Multi-account and landing zones
- 30.1 Why separate workloads into different accounts
- 30.2 AWS Control Tower and Account Factory
- 30.3 Centralized log and security management
- 30.4 Terraform at multi-account scale with shared modules
Chapter 31 · Platform Engineering and Internal Developer Platform
- 31.1 Golden paths and abstractions over Terraform
- 31.2 AWS Service Catalog
- 31.3 Backstage as a developer portal
- 31.4 Terraform modules as internal product
Chapter 32 · Relevant AWS certifications
- 32.1 Cloud Practitioner: is it worth it?
- 32.2 Solutions Architect Associate → Professional
- 32.3 DevOps Engineer Professional
- 32.4 Specialty: Security, Database, Networking
- 32.5 HashiCorp Terraform Associate
Chapter 33 · Projects to consolidate what you've learned
- 33.1 Project 1: serverless blog (S3 + CloudFront + Lambda + DynamoDB)
- 33.2 Project 2: REST API with ECS Fargate + RDS + ALB
- 33.3 Project 3: data platform with Glue + Athena + Redshift
- 33.4 Project 4: multi-account landing zone with Terraform and Control Tower
