Your VPC is divided into public and private subnets. But how does it actually connect to the internet? This is where two components with similar names but different functions come in: the Internet Gateway and the NAT Gateway. It's common to confuse them, so let's make them crystal clear with analogies.
Internet Gateway (IGW): the main door to the internet
The Internet Gateway is the component that connects your VPC to the internet. It allows traffic to enter and exit between your network and the outside world. Without it, your VPC is completely isolated from the internet.
Analogy: The Internet Gateway is the main gate of your property that opens onto the public street. Visitors (users accessing your website) come in through it, and your shipments go out. Without that gate, no one from outside can enter and you can't go out.
Key features:
- There is one per VPC (it's a component at the VPC level).
- It is bidirectional: allows inbound and outbound traffic.
- Only public subnets use it (remember: a subnet is public precisely because it has a route to the IGW).
- It is free and highly available (managed by AWS).
Important: having an Internet Gateway does not mean everything in your VPC is exposed. Only resources in public subnets, with a public IP and a route rule to the IGW, are accessible. Security Groups (Chapter 4) still control what specific traffic is allowed.
NAT Gateway: the one-way exit
Here is the component that solves the problem we raised in the previous subchapter: how do you allow private resources to go out to the internet (to download updates, call an external API…) without letting the internet come in to them?
The NAT Gateway (Network Address Translation Gateway) does exactly that: it is a one-way exit door for private subnets.
Analogy: The NAT Gateway is like a back door with a doorman who only lets people out, not in. Your employees (private resources) can go out to run errands (download updates, call external services) and return with what they went to get. But no one from the street can use that door to come in. The initiative always starts from inside.
How it works in practice:
[Private resource] → [NAT Gateway] → [Internet Gateway] → Internet
(private subnet) (public subnet)
▲ │
└──── the response returns ──────────────────────────────┘
✗ The internet CANNOT initiate a connection to the private resource- A server in the private subnet wants to download an update.
- Its request goes out through the NAT Gateway (which is in a public subnet).
- The NAT Gateway uses the Internet Gateway to reach the internet.
- The response comes back the same way to the private server.
- But the internet cannot initiate a connection to that private server. It only responds to what the server requested.
Real example: Your database is in a private subnet (well protected). Once a month it needs to download security patches from the internet. Thanks to the NAT Gateway, it can do so securely: it goes out to get the patches, but remains unreachable from outside. The best of both worlds: protected but able to update.
Internet Gateway vs NAT Gateway: the table that clarifies everything
| Internet Gateway | NAT Gateway | |
|---|---|---|
| Connects to internet | Yes | Yes (outbound only) |
| Allows inbound from internet | Yes | No |
| Allows outbound to internet | Yes | Yes |
| Used by subnets… | Public | Private |
| Where is it placed | VPC level | In a public subnet |
| What for | Web servers, load balancers | So private resources can update |
| Cost | Free | Paid (per hour + per data) |
⚠️ Beware of NAT Gateway costs
Unlike the Internet Gateway (free), the NAT Gateway costs money: you pay for every hour it is active and for every GB of data that passes through it. In large architectures, it can become a surprise on your bill.
Practical tip: The NAT Gateway is one of the frequent causes of unexpected VPC costs. For high availability you need one per AZ, which multiplies the cost. There are cheaper alternatives for certain cases (like a self-managed "NAT instance", or using VPC endpoints to talk to AWS services without going through NAT, which we’ll see in subchapter 6.5). Keep it on your radar when optimizing costs (Chapter 25).
Summary of the complete flow
Putting together everything we've covered in this chapter:
Internet
│
┌─ Internet Gateway ─┐ (main door, bidirectional)
│ │
┌── Public subnet ──┐
│ Web server │ ←──── accessible from internet
│ NAT Gateway ─────┼───┐
└───────────────────┘ │ (provides outbound for private)
│
┌── Private subnet ──┐ │
│ Database ─────────┼───┘ ←── goes out to internet via NAT,
│ │ but is NOT accessible from outside
└────────────────────┘What you should remember
- The Internet Gateway (IGW) is the main bidirectional door between your VPC and the internet. Used by public subnets. It's free.
- The NAT Gateway is a one-way exit: lets private resources go out to the internet (to update, etc.) but prevents the internet from coming in. Placed in a public subnet. Paid.
- The mental rule: IGW = inbound and outbound (public); NAT = outbound only (protected private).
- Watch the cost of the NAT Gateway: per hour + per data, and you need one per AZ for high availability.
In the next subchapter we’ll look at the "traffic rules" that make all this work: Route Tables (which path traffic follows) and Network ACLs (a subnet-level firewall).
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
