You already have subnets and internet gateways. But what's missing is what directs the traffic through your network and what filters it at the subnet level. These are the Route Tables and the Network ACLs. They are the components that make "public" and "private" actually mean something.
Route Tables: your network's GPS
A Route Table is a set of rules that decide where traffic goes according to its destination. Each subnet is associated with a route table, which tells it: "if the traffic is going to this place, send it this way."
Analogy: A route table is like the traffic signs and GPS of your property. At each intersection, they indicate: "to go to street X, turn here; to get to the highway (internet), go straight to the main gate."
What a route table looks like
Each rule (route) says: "traffic to this destination goes through this target." Example of a table for a public subnet:
| Destination | Target | Means |
|---|---|---|
10.0.0.0/16 |
local | "Traffic within my VPC stays on the local network" |
0.0.0.0/0 |
Internet Gateway | "Everything else (internet) goes out the main gate" |
And a table for a private subnet:
| Destination | Target | Means |
|---|---|---|
10.0.0.0/16 |
local | "Traffic within my VPC stays local" |
0.0.0.0/0 |
NAT Gateway | "To go out to the internet, I use the NAT (outbound only)" |
See the difference? What makes a subnet public or private is precisely this table:
- If the route to
0.0.0.0/0(all internet) points to the Internet Gateway → public subnet. - If it points to the NAT Gateway (or doesn't exist) → private subnet.
This is the "secret" of subnets: a subnet doesn't have a magic "public" or "private" label. It's public or private depending on where its route table sends it. The rule
0.0.0.0/0 → Internet Gatewayis what makes it public.
The local route is always present and cannot be deleted: it ensures that all resources within the same VPC can communicate with each other.
Network ACLs: the subnet firewall
Now for filtering. You already know about Security Groups from Chapter 4 (the firewall for each instance). Network ACLs (NACLs) are another firewall, but at the level of the entire subnet, not individual instances.
Analogy: If the Security Group is the doorman of each building (controls who enters each instance), the Network ACL is the access control for the whole neighborhood (controls what traffic enters and leaves the entire subnet).
Traffic arriving at an instance passes through two controls:
- First the Network ACL of the subnet (the neighborhood control).
- Then the Security Group of the instance (the building doorman).
Security Group vs Network ACL: the differences
This is a classic comparison worth keeping clear:
| Feature | Security Group | Network ACL |
|---|---|---|
| Level | Instance | Subnet |
| Rules | Only "allow" | "Allow" and "deny" |
| State | Stateful | Stateless |
| Evaluation | All rules at once | By numeric order, stops at first match |
| Default | Blocks everything not allowed | Default allows everything |
Let's clarify the two concepts that cause the most confusion:
Stateful vs Stateless
- Security Group (stateful): if you allow an inbound connection, the outbound response is automatically allowed. It "remembers" the connection. You don't have to create a rule for the response.
- Network ACL (stateless): remembers nothing. If you allow inbound traffic, you must explicitly allow outbound traffic as well for the response to return. Each direction is configured separately.
That's why NACLs are fussier: a common mistake is to allow inbound but forget to allow the outbound response, and then "nothing works" even though the inbound rule looks correct.
Allow and Deny
- Security Groups only allow whitelisting (you define what is allowed; the rest is blocked). You can't write a "deny" rule.
- Network ACLs also allow explicit deny rules. This is useful, for example, to block a specific IP that's attacking you, something a Security Group can't do.
Which should I use? In practice
For most cases:
Use Security Groups as your main network security tool. They are simpler (stateful) and sufficient for almost everything. Leave Network ACLs with their default configuration (which allows everything) unless you need something specific, like blocking a malicious IP at the subnet level.
NACLs are an additional layer of defense in depth, not your first line. Many teams use them little and rely on Security Groups.
How it all fits together
Internet │ ▼ [Subnet's Network ACL] ← 1st filter (neighborhood level, stateless, allow/deny) │ ▼ [Instance's Security Group] ← 2nd filter (building level, stateful, allow only) │ ▼ [Your EC2 instance] And the Route Tables decide WHERE each traffic goes (to internet via IGW, via NAT, or local within the VPC).
What you should remember
- Route Tables decide where traffic goes according to its destination. The route
0.0.0.0/0to the Internet Gateway is what makes a subnet public; to the NAT (or absent), it makes it private. - Network ACLs are a firewall at the subnet level: stateless (you configure inbound and outbound separately) and allow deny rules (useful for blocking IPs).
- Security Groups are the firewall at the instance level: stateful and only "allow" type. They are your main tool.
- Use Security Groups as the base; add Network ACLs only for specific needs (defense in depth).
In the last VPC subchapter, we'll see how to connect your VPC with other networks: VPC Peering (joining VPCs) and endpoints (reaching AWS services privately).
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
