A VPC is your fenced plot, but inside you need to organize it into zones. These zones are called subnets, and the most important decision is which will be public (accessible from the internet) and which will be private (hidden and protected). This is the heart of secure network design in AWS.
What is a subnet
A subnet is a division of the VPC with its own address range (a slice of the VPC's CIDR). Each subnet lives in a specific availability zone (AZ).
Analogy: If the VPC is your fenced plot, the subnets are the different streets or zones within it. One zone faces the main entrance (public); another is inside, with no direct access from outside (private).
For example, if your VPC is 10.0.0.0/16, you could divide it like this:
VPC: 10.0.0.0/16 ├── Public subnet A: 10.0.1.0/24 (in AZ-a) ├── Public subnet B: 10.0.2.0/24 (in AZ-b) ├── Private subnet A: 10.0.10.0/24 (in AZ-a) └── Private subnet B: 10.0.20.0/24 (in AZ-b)
Each /24 gives about 250 addresses. Notice there are subnets in two different AZs: that's for high availability, as we saw in Chapter 3.
Public vs Private Subnet: the key difference
Here's the central concept. The difference is not in the subnet itself, but in whether or not it has a route to the internet:
| Public subnet | Private subnet | |
|---|---|---|
| Accessible from the internet? | Yes | No |
| Do its resources have a public IP? | Yes | No |
| Has a route to the internet? | Yes (via Internet Gateway) | Not directly |
| What you put here | What needs to be accessible | What needs to be protected |
Practical definition: a subnet is public if it has a route to an Internet Gateway (the door to the internet, subchapter 6.3). If it doesn't, it's private. That route is what makes it public or not. We'll see this in detail in subchapter 6.4 (route tables).
What goes in each subnet
This is the design decision that defines the security of your architecture:
In the public subnet (the "reception")
Resources that need to be accessible from the internet:
- Web servers that users visit.
- Load balancers (Chapter 13) that receive traffic.
- NAT Gateways (subchapter 6.3).
In the private subnet (the "back office")
Sensitive resources that should not be exposed:
- Databases (never expose a database to the internet!).
- Application servers with internal business logic.
- Internal systems, queues, background processes.
Real example — typical web architecture:
Internet │ ▼ [Public subnet] ← Load balancer + web server │ (communicates internally) ▼ [Private subnet] ← Application server + DatabaseUsers only reach the public subnet. The database, in the private subnet, is invisible from the internet: only the application server (inside the VPC) can talk to it. Even if an attacker compromised something, the database still has no entry point from outside.
The golden security rule
Put in public subnets only what STRICTLY needs access from the internet. Everything else, in private subnets.
This applies the principle of defense in depth: the fewer things you expose, the smaller the attack surface. A database in a private subnet is much more secure than one accessible from the internet, even if both have a password.
Always spread across multiple AZs
Remember subchapter 3.2: for high availability, create subnets in at least two AZs. That way, if one AZ fails, your application keeps running from the other.
That's why the usual "minimum decent" design has four subnets: one public and one private in each of two AZs.
AZ-a AZ-b ┌─ public ─┐ ┌─ public ─┐ │ │ │ │ ┌─ private ─┐ ┌─ private ─┐ │ DB │ │ DB │ ← replica in another AZ
But then, how does the database access the internet to update itself?
A good question that always comes up: if the database or a server is in a private subnet (with no internet access), how do they download software updates, for example?
The answer is the NAT Gateway, which allows private resources to go out to the internet (to download things) without allowing the internet to come in to them. It's a one-way street outward. We'll see this in detail in the next subchapter.
What you should remember
- A subnet is a division of the VPC, located in one AZ, with its own IP range.
- Public = has a route to the internet (for what needs to be accessible). Private = no direct route to the internet (for sensitive things).
- Golden rule: expose only what's strictly necessary in public subnets; put databases and internal systems in private subnets.
- Spread subnets across multiple AZs for high availability (typical design: public + private in 2 AZs).
- Private resources can go out to the internet securely via a NAT Gateway (next subchapter).
In the next subchapter we'll see the two "doors" of your network: the Internet Gateway (public in/out) and the NAT Gateway (secure outbound for private 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
