So far, we have launched servers (EC2) and stored files (S3). But where do those servers "live" at the network level? How do they communicate with each other securely and isolated from the rest of the world? The answer is the VPC, AWS's networking service. It's a topic that scares many beginners, but with the right analogies, it's perfectly understandable.
What is a VPC
VPC stands for Virtual Private Cloud. It is your private and isolated network within AWS, where you place your resources (EC2 instances, databases…) and control how they communicate with each other and with the outside world.
Analogy: Imagine AWS is a huge city full of buildings (resources). A VPC is your own fenced plot within that city. Inside your plot, you decide how to organize the streets, which doors open to the public street, and which remain private. No one from outside enters without your permission, and what happens in your plot is isolated from others' plots.
Why You Need It
Without a network, your servers couldn't communicate in a controlled or secure way. The VPC gives you:
- Isolation: your resources are separated from those of other AWS customers. It's your private space.
- Control: you decide what is public (accessible from the internet) and what is private (only accessible internally).
- Security: you can place sensitive resources (like a database) in areas where the internet can't reach.
- Organization: you structure your network into subnets according to their function.
Why security matters so much here: one of the worst ideas in the cloud is to make your database directly accessible from the internet. With a VPC, you place the database in a private area, so only your own servers can talk to it. If an attacker looks for your database on the internet, they simply can't find it because it has no public ingress or egress.
A Reassuring Detail: You Already Have a VPC
When you create an AWS account, it comes with a default VPC already configured in each region, ready to use. That's why you can launch an EC2 instance "without thinking about networks": you're actually using that default VPC.
However, for serious projects, it's common to create your own VPC with the structure you need, instead of using the default one. Throughout this chapter (and in Chapter 12, where you'll build it with Terraform) you'll learn how to do it.
Your Network Blueprint: The CIDR Range
When you create a VPC, the first thing you define is its IP address range, expressed in a notation called CIDR. Don't worry: it's simpler than it seems.
A typical CIDR range for a VPC is:
This means: "my network will use IP addresses that start with 10.0.x.x." The /16 indicates how many addresses it covers (in this case, about 65,000 addresses available for your resources).
Analogy: The CIDR range is like deciding the street numbers of your plot.
10.0.0.0/16means "my neighborhood will have numbers from 10.0.0.0 to 10.0.255.255." Then you'll divide those numbers among different streets (subnets), which we'll see in the next subchapter.
Common private ranges (defined by internet standards for private networks):
10.0.0.0/16172.16.0.0/16192.168.0.0/16
You don't need to master CIDR now. The important thing: a VPC has an address range, and within it you'll organize everything. If you want a practical rule: use 10.0.0.0/16 for your VPC and that's it.
What's Inside a VPC (Overview)
A VPC is like a container that holds several pieces we'll see in this chapter:
┌──────────────── VPC (10.0.0.0/16) ────────────────┐ │ │ │ ┌─ Public Subnet ─┐ ┌─ Private Subnet ─┐ │ │ │ Web Server │ │ Database │ │ │ └─────────────────┘ └──────────────────┘ │ │ │ │ + Internet Gateway, Route Tables, NAT, etc. │ └────────────────────────────────────────────────────┘
- Subnets: divisions of your VPC, public or private (subchapter 6.2).
- Internet Gateway: the door to the internet (subchapter 6.3).
- NAT Gateway: internet egress for private resources (subchapter 6.3).
- Route Tables and Network ACLs: the "traffic rules" (subchapter 6.4).
- Peering and endpoints: connections with other networks (subchapter 6.5).
Don't worry if these are just names for now: we'll break them down one by one.
A VPC Lives in a Region
Remember Chapter 3: a VPC belongs to one region and can span multiple availability zones (AZ) in that region. This is key: by spreading your subnets across several AZs, you build the high availability we saw in subchapter 3.2. We'll see this when we talk about subnets.
What You Should Remember
- A VPC is your private and isolated network within AWS: your "fenced plot" in the AWS city.
- It gives you isolation, control, security, and organization: you decide what is public and what is private.
- Your account already comes with a default VPC, but for serious projects you'll create your own.
- A VPC is defined with a CIDR range (for example
10.0.0.0/16), which is the set of IP addresses in your network. - A VPC lives in one region and can extend across multiple AZs for high availability.
In the next subchapter, we'll divide the VPC into public and private subnets, the most important design decision for your network.
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
