We have the network and the server, but we still need to protect it with a firewall (Security Group) and, optionally, give it a fixed IP address (Elastic IP). Remember the concepts from Chapter 4 (subchapters 4.2 and 4.4); now we write them in Terraform and complete our first functional infrastructure.
Step 1: Create the Security Group (the firewall)
The Security Group (subchapter 4.2) controls what traffic enters and leaves the instance. For a web server, we want to allow HTTP, HTTPS, and, in a limited way, SSH for administration.
resource "aws_security_group" "web" {
name = "sg-servidor-web"
description = "Allows HTTP, HTTPS, and limited SSH"
vpc_id = aws_vpc.principal.id
# INGRESS rule: allow HTTP from anywhere
ingress {
description = "HTTP from internet"
from_port = 80
to_port = 80
protocol = "tcp"
cidr_blocks = ["0.0.0.0/0"]
}
# INGRESS rule: allow HTTPS from anywhere
ingress {
description = "HTTPS from internet"
from_port = 443
to_port = 443
protocol = "tcp"
cidr_blocks = ["0.0.0.0/0"]
}
# INGRESS rule: allow SSH ONLY from my IP
ingress {
description = "SSH only from my IP"
from_port = 22
to_port = 22
protocol = "tcp"
cidr_blocks = ["203.0.113.25/32"] # ← YOUR IP, not 0.0.0.0/0
}
# EGRESS rule: allow all outgoing traffic
egress {
from_port = 0
to_port = 0
protocol = "-1" # all protocols
cidr_blocks = ["0.0.0.0/0"]
}
tags = {
Name = "sg-servidor-web"
}
}Let's review the decisions, which apply what we've learned about security:
- HTTP (80) and HTTPS (443) from
0.0.0.0/0: correct, because we want anyone to be able to see the public website. - SSH (22) only from your IP (
/32): critical! Remember the beginner's mistake from subchapter 4.2. NEVER set SSH open to0.0.0.0/0. Here we limit it to a specific IP (the/32means "exactly this IP"). Replace203.0.113.25with your real IP. - Open egress: allows the server to access the internet (to download software from
user_data). Remember that Security Groups are stateful (subchapter 6.4), so responses to incoming connections are automatically allowed.
Now the instance from subchapter 12.2 already finds its Security Group, because it referenced it with
vpc_security_group_ids = [aws_security_group.web.id]. The pieces fit together.
Step 2 (optional): Create an Elastic IP
Remember the problem of changing IPs (subchapter 4.4): the public IP of an instance changes if you stop and start it. If you want a fixed IP, use an Elastic IP:
resource "aws_eip" "web" {
instance = aws_instance.web.id
domain = "vpc"
tags = {
Name = "eip-servidor-web"
}
}This reserves an Elastic IP and associates it with our instance. From now on, the server has a stable public address.
Remember the cost warning (subchapter 4.4): AWS charges for unused Elastic IPs and for public IPv4 addresses in general. For a single test instance it's fine, but in real architectures it's common to put a load balancer in front (Chapter 13) instead of one Elastic IP per server. For this first project, the Elastic IP is perfect to have a stable address.
The complete set
We now have a functional infrastructure! Let's summarize everything we've built in the chapter so far:
┌──────────── VPC (10.0.0.0/16) ─────────────────┐ │ Internet Gateway ──── Route Table (0.0.0.0/0) │ │ │ │ ┌─ Public Subnet (10.0.1.0/24) ──────────┐ │ │ │ │ │ │ │ ┌─ EC2 Instance ──────────────┐ │ │ │ │ │ Web server (Apache) │ │ │ │ │ │ Protected by Security Group │ │ │ │ │ │ Fixed Elastic IP associated │ │ │ │ │ └──────────────────────────────┘ │ │ │ └─────────────────────────────────────────┘ │ │ │ │ Security Group: HTTP/HTTPS open, SSH only to your IP │ └──────────────────────────────────────────────────┘
If you run terraform apply (typing yes), Terraform creates everything in the correct order and, in a couple of minutes, your server will be serving the web page "Hello from my first server on AWS with Terraform!" on its public IP.
What you should remember
- The Security Group is defined with
ingress(incoming) andegress(outgoing) rules, each with ports, protocol, and sources (cidr_blocks). - Apply real security: HTTP/HTTPS open to the public, but SSH only to your IP (
/32), never to0.0.0.0/0. - Since it's stateful, you don't need to manually open response traffic.
- An Elastic IP (
aws_eip) gives a fixed public address to the instance; remember its cost and that in production a load balancer is usually preferred. - With this you have your first functional infrastructure: network + web server + firewall + fixed IP, all in code.
In the next subchapter you'll learn how to extract useful information from your infrastructure (like the server's IP) with outputs and better understand references between resources.
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
