Backstage

Backstage in Cloud-Native Engineering

Category: portal
Status: Active
Stars: 30,000
Last Updated: 2026-04-22
Primary Language: TypeScript
Documentation: https://backstage.io/

Purpose and Use Cases

Backstage is an open-source developer portal that provides a unified experience for developers to discover, consume, and manage internal services, tools, and infrastructure.

What Problem Does It Solve?

The fragmentation of developer tools and services across organizations, creating discovery, documentation, and management chaos. It centralizes service discovery, documentation, and tool integration.

When to Use This Project

Use Backstage when you have multiple microservices, need centralized service discovery, want to improve developer experience, manage technical documentation, or integrate development tools into a unified portal.

Key Use Cases

• Service Catalog: Central registry of all services and components
• Documentation Portal: Unified technical documentation
• CI/CD Integration: Build and deployment status display
• Tool Integration: Jenkins, GitHub, Kubernetes, Prometheus integrations
• API Documentation: OpenAPI/Swagger integration
• Resource Management: Kubernetes resource management
• Security Governance: RBAC and policy enforcement

Architecture Design Patterns

Core Components

• Backend Server: Node.js server providing API endpoints
• Frontend: React-based web application
• Entity Registry: Catalog of services, components, and resources
• Scaffolder: Template-based application generation
• Search: Distributed search across entities
• Permissions: RBAC and access control
• Plugins: Extensible feature modules

Component Interactions

1. User → Frontend: Web interface interaction
2. Frontend → Backend API: API calls for data
3. Backend → Plugins: Plugin execution and data aggregation
4. Plugins → External Systems: GitHub, Kubernetes, CI/CD tools
5. Entity Registry → Search: Indexed entity search
6. Permissions → Plugins: Access control enforcement

Data Flow Patterns

1. Entity Ingestion: External systems → Catalog model → Entity registry → Search index
2. User Request: Frontend → Backend → Plugin → External system → Response
3. Scaffolding: Template → User input → Generated code → Repository
4. Search Query: User input → Search index → Results → Frontend display

Design Principles

• Developer-Centric: Focus on developer experience
• Extensible: Plugin architecture for customization
• Agile: Rapid iteration and improvement
• Open-First: Open-source with community governance
• Type-Safe: TypeScript for type safety
• Modular: Separation of concerns with plugins

Integration Approaches

Integration with Other CNCF Projects

• Kubernetes: Resource management and cluster integration
• Prometheus: Metrics and monitoring integration
• OpenTelemetry: Tracing and observability
• Tekton: CI/CD pipeline integration
• Helm: Chart management and deployment
• CoreDNS: Service discovery integration

API Patterns

• REST API: Backend server API endpoints
• GraphQL: Internal data querying
• Webhook API: External system notifications
• Plugin API: Plugin registration and execution

Configuration Patterns

• app-config.yaml: Main configuration file
• catalog-model.yaml: Entity definitions
• plugin-config.yaml: Plugin-specific configuration
• k8s.yaml: Kubernetes integration configuration

Extension Mechanisms

• Plugins: Add new features and integrations
• API Entities: Custom catalog entities
• Theme Extensions: UI customization
• Sidebar Extensions: Navigation customization
• Search Extensions: Custom search providers

Common Pitfalls and How to Avoid Them

Configuration Issues

• Plugin Dependencies: Missing or incorrect plugin configurations
• Authentication Setup: OAuth and SSO misconfiguration
• Catalog Ingestion: Incorrect entity format or access credentials
• Search Index: Missing or corrupted search index
• CORS Configuration: Frontend-backend communication issues

Performance Issues

• Catalog Size: Large catalogs causing slow queries
• Plugin Load: Too many plugins affecting startup time
• Search Performance: Unoptimized search queries
• Database Bottlenecks: Backend database performance

Operational Challenges

• Version Updates: Breaking changes between versions
• Plugin Compatibility: Plugin version mismatches
• Backup and Recovery: Catalog state management
• Multi-Tenancy: Organization-level isolation

Security Pitfalls

• Authentication: Missing or weak authentication
• Authorization: Overly permissive access controls
• Secrets Management: Credentials in configuration files
• API Security: Missing rate limiting and protection

Coding Practices

Idiomatic Configuration

• YAML Configuration: Declarative configuration
• Environment Variables: Environment-specific settings
• Git-Based Catalog: Version control for catalog
• Plugin Registry: Centralized plugin management

API Usage Patterns

• Backend API: Plugin API endpoints
• Frontend API: Component API integration
• External API: Integration with third-party systems
• GraphQL API: Internal data querying

Observability Best Practices

• Metrics: Prometheus metrics collection
• Logging: Centralized logging integration
• Tracing: OpenTelemetry distributed tracing
• Health Checks: Application health monitoring

Development Workflow

• Local Development: docker-compose for backend and frontend
• Plugin Development: Plugin scaffolding and testing
• Testing: Jest and React Testing Library
• CI/CD: Automated testing and deployment
• Tools: Node.js, Docker, Git

Fundamentals

Essential Concepts

• Entity: Any object in the catalog (service, component, resource)
• Kind: Entity type (Component, System, API, Resource)
• Relation: Connection between entities
• Location: Source of entity definition
• Plugin: Extensible feature module
• API: Backend service interface
• Theme: UI customization configuration

Terminology Glossary

• Catalog: Central registry of entities
• Component: Software component or service
• System: Logical grouping of components
• API: Interface definition
• Resource: Infrastructure resource
• Location: Git repository or file containing entity definitions
• Template: Scaffolding template for new components

Data Models and Types

• Catalog Entity: Entity definition and metadata
• Component Spec: Component specification
• System Spec: System specification
• API Spec: API specification
• Resource Spec: Resource specification
• Location Spec: Location definition
• Relation Spec: Relation between entities

Lifecycle Management

• Entity Lifecycle: Create → Ingest → Catalog → Search → Display
• Plugin Lifecycle: Install → Configure → Register → Execute
• Theme Lifecycle: Load → Apply → Update → Remove

State Management

• Entity State: Current catalog state
• Search Index: Searchable entity state
• Session State: User session management
• Plugin State: Plugin-specific state

Scaling and Deployment Patterns

Horizontal Scaling

• Backend Scaling: Multiple backend server instances
• Cache Layer: Redis or Memcached for caching
• Search Scaling: Distributed search index
• Database Scaling: Read replicas and connection pooling

High Availability

• Backend HA: Multiple backend instances behind load balancer
• Database HA: PostgreSQL or MySQL HA
• Cache HA: Redis cluster or sentinel
• Service Discovery: Kubernetes service discovery

Production Deployments

• Docker Deployment: Containerized backend and frontend
• Kubernetes Deployment: Native Kubernetes manifests
• Authentication: OAuth, SSO, or basic auth
• SSL/TLS: HTTPS termination
• Monitoring: Prometheus and Grafana integration

Upgrade Strategies

• Configuration Migration: Handle config file changes
• Database Migration: Schema updates
• Plugin Updates: Version compatibility checks
• Rolling Update: Zero-downtime deployment

Resource Management

• CPU/Memory Limits: Appropriate resource requests
• Storage: Catalog database storage
• Cache Size: Appropriate cache configuration
• Network: API and plugin communication

Additional Resources

• Official Documentation: https://backstage.io/
• GitHub Repository: github.com/backstage/backstage
• CNCF Project Page: cncf.io/projects/backstage/
• Community: Check the GitHub repository for community channels
• Versioning: Refer to project's release notes for version-specific features

Troubleshooting

Common Issues

1. Deployment Failures

   • Check pod logs for errors
   • Verify configuration values
   • Ensure network connectivity

2. Performance Issues

   • Monitor resource usage
   • Adjust resource limits
   • Check for bottlenecks

3. Configuration Errors

   • Validate YAML syntax
   • Check required fields
   • Verify environment-specific settings

4. Integration Problems

   • Verify API compatibility
   • Check dependency versions
   • Review integration documentation

Getting Help

• Check official documentation
• Search GitHub issues
• Join community channels
• Review logs and metrics Content generated automatically. Verify against official documentation before production use.

Examples

Basic Configuration

# Basic configuration example
apiVersion: v1
kind: ConfigMap
metadata:
  name: {{project_name}}-config
  namespace: default
data:
  # Configuration goes here
  config.yaml: |
    # Base configuration
    # Add your settings here

Kubernetes Deployment

# Kubernetes deployment for {{project_name}}
apiVersion: apps/v1
kind: Deployment
metadata:
  name: {{project_name}}
  namespace: default
spec:
  replicas: 1
  selector:
    matchLabels:
      app: {{project_name}}
  template:
    metadata:
      labels:
        app: {{project_name}}
    spec:
      containers:
      - name: {{project_name}}
        image: {{project_name}}:latest
        ports:
        - containerPort: 8080
        resources:
          limits:
            memory: "128Mi"
            cpu: "500m"

Kubernetes Service

# Kubernetes service for {{project_name}}
apiVersion: v1
kind: Service
metadata:
  name: {{project_name}}
  namespace: default
spec:
  selector:
    app: {{project_name}}
  ports:
  - protocol: TCP
    port: 80
    targetPort: 8080
  type: ClusterIP

When to Use

Use this skill when:

• Integrating a CNCF project into Kubernetes infrastructure — You need to configure, deploy, or troubleshoot a cloud-native tool within a cluster
• Designing cloud-native architecture — You are selecting and integrating CNCF tools to solve specific infrastructure challenges
• Resolving operational issues — A CNCF component is misbehaving, underperforming, or needs configuration changes

Core Workflow

1. Assess Requirements — Understand the use case, scale, integration needs, and existing infrastructure. Checkpoint: Document requirements, constraints, and success criteria.

2. Design Architecture — Plan component interactions, data flow, and deployment strategy using cloud-native best practices. Checkpoint: Verify the architecture addresses all requirements and follows CNCF conventions.

3. Implement & Configure — Create manifests, configurations, and deployment scripts. Include resource limits, health checks, and observability hooks. Checkpoint: Validate all YAML against schema and test in a staging environment.

4. Deploy & Monitor — Apply manifests to the cluster, verify component health, and confirm observability is working. Checkpoint: Confirm all pods/services are running, probes passing, and metrics/alerts configured.

Constraints

MUST DO

• Include at least one complete working YAML manifest example
• Note when content is auto-generated vs. manually verified
• Reference relevant CNCF project documentation

MUST NOT DO

• Deploy manifests without testing in a staging environment first
• Use deprecated API versions (e.g., apps/v1beta1)
• Omit resource limits and requests in Kubernetes manifests