You already know the six pillars (subchapter 27.1) and the tool to evaluate yourself (subchapter 27.2). But the Well-Architected Framework only brings value if you truly apply it in your day-to-day work, not if you leave it as a document that gets reviewed once and then forgotten. In this subchapter, which closes Chapter 27, we’ll see how to integrate the framework in practice so it continuously improves your architectures.
The Mistake: Treating It as a One-Time Task
The biggest mistake with the Well-Architected Framework is treating it as a box to check: you do a review once (maybe because someone asked for it), generate a report, and file it away forever. That’s not very useful, because:
- Architectures constantly change (you add features, grow, modify things).
- What was fine a year ago may no longer be fine (more users, new threats...).
- An improvement that is not implemented doesn’t improve anything.
The framework is valuable when it becomes a continuous practice, part of how you work, not an isolated task.
Analogy: applying the framework is like taking care of your health. Getting a medical checkup once in your life and forgetting about it won’t keep you healthy. What works is regular checkups + continuous healthy habits: regular checkups to detect problems in time, and good habits in your daily life. It’s the same with architecture: regular reviews (the tool) plus good practices incorporated into your way of working.
How to Really Apply It: The Keys
- Start Early, Not at the End
Apply the principles from the design phase, not when the system is already built. It’s much cheaper and easier to build well from the start than to fix things later. When you’re about to design something, review the six pillars as a guide for the questions you should ask yourself (how do I secure it? what happens if it fails? how much will it cost?...).
❌ Applying it at the end: you build → discover serious problems → rebuild (expensive) ✓ Applying it early: you design with the pillars in mind → build it right the first time
- Make It Periodic, Not One-Off
Schedule regular reviews (with the Well-Architected Tool, subchapter 27.2): for example, every so often or after major changes. This way you detect how your architecture has evolved and what new risks have appeared. A periodic review maintains quality over time.
- Prioritize Risks, Don’t Try to Fix Everything
A review may reveal many possible improvements. Don’t try to do them all at once (it’s overwhelming and unrealistic). Prioritize: tackle the high risks first (the most serious), and progressively improve the others. Remember the balance between pillars (subchapter 27.1): decide what matters most for your case.
From the list of improvements: 1st → HIGH risks (serious impact) → address now 2nd → MEDIUM risks → plan for later 3rd → minor improvements → when there’s time
- Make It Part of Team Culture
The most powerful thing is for thinking about the six pillars to become part of how the team works, just as we saw with FinOps for costs (subchapter 25.5). When designing anything, the team should naturally ask about security, reliability, cost, etc. It’s not the responsibility of one person or a single review: it’s a shared mindset.
- Accept There’s No Perfection, Aim for Continuous Improvement
Don’t chase the “perfect” architecture (it doesn’t exist, remember the balance between pillars). Aim for continuous improvement: always being a little better than before. Every review that reduces a high risk is a win. It’s a journey, not a destination.
The Virtuous Cycle
When applied well, the framework creates a cycle that improves your systems over time:
Design with the pillars in mind
│
▼
Build the system
│
▼
Review periodically (Well-Architected Tool)
│
▼
Prioritize and implement improvements (high risks first)
│
└──────────► (and start again with every change)Each cycle leaves your architecture a little better: more secure, more reliable, more efficient.
Real-world example: a team decides to integrate the Well-Architected Framework into their way of working. They adopt three habits: (1) every new project starts with a review of the six pillars in the design phase; (2) they do a review with the tool every quarter and after every major change; (3) in each review, they tackle high risks first and record their progress. After a year, their systems are noticeably more robust and secure, and—most importantly—the team naturally thinks in these dimensions when designing. The framework stopped being a document and became their way of working. That’s the difference between knowing it and applying it.
What You Should Remember
- The biggest mistake is treating the framework as a one-time task; its value lies in applying it continuously. Like taking care of your health: regular checkups + continuous habits, not a single checkup.
- Keys to really applying it:
- Start early (from the design phase), not at the end: building it right the first time is cheaper than rebuilding.
- Make it periodic (regular reviews with the tool), not one-off: architectures evolve.
- Prioritize risks (high first), don’t try to fix everything at once.
- Make it part of team culture (a shared mindset, like FinOps), not just one person’s responsibility.
- Aim for continuous improvement, not perfection (there’s no perfect architecture, only the one that fits your priorities).
- Applied this way, it creates a virtuous cycle (design → build → review → improve) that leaves your systems better with each cycle.
You’ve completed Chapter 27! You now know how to evaluate and improve architectures with the Well-Architected Framework. In Chapter 28 we’ll look at concrete and advanced architectures: serverless architectures at scale, where you’ll apply many of these principles to real designs.
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
