In the previous subchapters, we saw golden paths and the Service Catalog: ways to offer ready-to-use infrastructure to developers. But as a company grows, developers face another problem: fragmentation. There are many tools, many services, lots of documentation... scattered everywhere. Where do I find information about my service? How do I create a new one following the rules? Where is the documentation? To unify all this in one place, there is Backstage: a developer portal that has become the industry standard for building Internal Developer Platforms.
The problem: the developer lost among a thousand tools
In a large company with many services and tools, a developer (especially a new one) feels lost:
"I want to work on my service, but... where is its documentation? (in a wiki? in the code?) where do I see if it’s working well? (on which dashboard?) how do I create a new service properly? (who do I ask?) what services already exist? (is there something I can reuse?) where are the golden paths? (how do I use them?)" → information scattered across dozens of places = confusion and slowness
All that fragmentation makes developers waste time searching, duplicate work (because they don’t know what already exists), and take a long time to become productive. You need a single place that brings it all together. That’s Backstage.
What is Backstage
Backstage is an open source platform (originally created by Spotify) for building a developer portal: a single place where developers find everything they need to work—their services, their documentation, their tools, their golden paths—in a unified and organized way.
┌─────────────── Backstage (developer portal) ───────────────┐ │ 📋 Service catalog → what services exist and who owns them │ │ 📚 Documentation → all docs in one place │ │ 🚀 Golden paths / templates → create new things properly, easily │ │ 📊 Links to dashboards → see the status of each service │ │ 🔧 Integrated tools → everything accessible from here │ └──────────────────────────────────────────────────────────────────────┘
Analogy: Backstage is like a single, well-organized company intranet portal, but for developers. Instead of having to remember ten different addresses, search through scattered wikis, and ask colleagues “where is this?”, you go into one portal and from there access everything in an organized way: your projects, documentation, tools, guides to do new things. It’s the developer’s “one-stop shop” that brings order to the chaos of tools.
What Backstage offers
- Software catalog (what exists and who maintains it)
Backstage offers a catalog of all the company’s services, applications, and components: what exists, who is responsible for each thing, how they are related. This solves the “what’s already there?” and avoids reinventing what another team has already built. At a glance, you see the organization’s software map.
- Templates to create new things (the golden paths)
Backstage allows you to offer templates (software templates) that implement the golden paths (subchapter 31.1): “want to create a new service? Use this template and you’ll get one with all the structure, infrastructure (Terraform), pipelines, and best practices already set up.” It’s the way to offer golden paths in an accessible way, from the portal.
Developer in Backstage: "create new service" → chooses a template (golden path) → fills in some data → gets a new service with structure, infra, CI/CD, and best practices ready
- Centralized documentation
Backstage brings together the documentation for all services in one place (often alongside the code itself), so finding it is easy. No more searching through scattered and outdated wikis.
- Tool integration
Backstage integrates with the tools the company already uses (CI/CD, monitoring, cloud, the Service Catalog from subchapter 31.2...), showing everything in a unified way. It’s extensible via plugins, so each company adapts it to their tools.
Backstage as the face of the Internal Developer Platform
Here’s where the whole chapter comes together. Remember the concepts:
- Platform Engineering (subchapter 31.1): building an internal platform for developers.
- That platform is called the Internal Developer Platform (IDP): the set of tools, golden paths, and services that the platform team offers to developers.
- Backstage is, very often, the visible face (the portal) of that IDP: the place where developers access everything the platform offers.
Internal Developer Platform (IDP): all the platform "machinery" ├── golden paths (31.1) ├── Service Catalog / approved products (31.2) ├── Terraform modules, pipelines, tools... │ └── Backstage = the PORTAL through which developers access everything
Backstage doesn’t replace the other pieces; it unifies them into a coherent experience for the developer.
Real-world example: a company with 200 developers and hundreds of services was in chaos: scattered information, people didn’t know what existed or how to create services properly. They implemented Backstage as the developer portal. Now, a new developer enters Backstage and sees: the catalog of all services (and who owns each one), the documentation for each, and templates (golden paths) to create a new service with all the infrastructure and best practices set up in minutes. What used to take a newcomer weeks—to understand the landscape and be able to contribute—now takes days. And duplicate work stops, because everyone can see what already exists. Backstage turned the chaos of tools into an organized and productive experience.
What you should remember
- In large companies, developers get lost among a thousand tools, services, and scattered documentation, wasting time and duplicating work. They need a single place that brings it all together.
- Backstage is an open source platform (created by Spotify) for building a developer portal: a single place with services, documentation, tools, and golden paths, in a unified way. Like the developer’s single intranet portal (the “one-stop shop”).
- It offers: a software catalog (what exists and who maintains it), templates that implement the golden paths (create new things properly, easily), centralized documentation, and integration with existing tools (extensible with plugins).
- It’s usually the visible face (the portal) of the Internal Developer Platform (IDP): the place where developers access the whole platform (golden paths, Service Catalog, modules...). It doesn’t replace those pieces; it unifies them.
In the last subchapter of the chapter (and of Part VII), we’ll wrap up the idea with a key vision: treating Terraform modules as an internal product, with the product mindset that underpins all of Platform Engineering.
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
