Backend Development
Overview
Build production-ready backend systems using modern technologies, best practices, and proven patterns. Covers the full backend stack from API design to deployment, with emphasis on security, performance, and maintainability.
When to Use
- Designing RESTful, GraphQL, or gRPC APIs
- Building authentication/authorization systems
- Optimizing database queries and schema design
- Implementing caching and performance optimization
- OWASP Top 10 security hardening
- Designing scalable microservices
- Testing strategies (unit, integration, E2E)
- CI/CD pipelines and deployment
- Monitoring and debugging production systems
Technology Selection Guide
Languages: Node.js/TypeScript (full-stack), Python (data/ML), Go (high concurrency), Rust (extreme performance) Frameworks: NestJS, FastAPI, Django, Express, Gin Databases: PostgreSQL (ACID transactions), MongoDB (flexible schema), Redis (caching) API Styles: REST (simple), GraphQL (flexible), gRPC (high performance)
See: references/backend-technologies.md for detailed technology comparisons
Reference Documentation Navigation
Core Technologies:
backend-technologies.md-- Languages, frameworks, databases, message queues, ORMsbackend-api-design.md-- REST, GraphQL, gRPC patterns and best practices
Security & Authentication:
backend-security.md-- OWASP Top 10 2025, security best practices, input validationbackend-authentication.md-- OAuth 2.1, JWT, RBAC, MFA, session management
Performance & Architecture:
backend-performance.md-- Caching, query optimization, load balancing, scaling strategiesbackend-architecture.md-- Microservices, event-driven architecture, CQRS, Saga pattern
Quality & Operations:
backend-testing.md-- Testing strategies, frameworks, tools, CI/CD testingbackend-code-quality.md-- SOLID principles, design patterns, clean codebackend-devops.md-- Docker, Kubernetes, deployment strategies, monitoringbackend-debugging.md-- Debugging strategies, profiling, logging, production debuggingbackend-mindset.md-- Problem-solving mindset, architectural thinking, collaboration
Key Best Practices (2025)
Security: Argon2id password hashing, parameterized queries (98% SQL injection reduction), OAuth 2.1 + PKCE, rate limiting, security headers
Performance: Redis caching (90% database load reduction), database indexing (30% I/O reduction), CDN (50%+ latency reduction), connection pooling
Testing: 70-20-10 testing pyramid (unit-integration-E2E), Vitest 50% faster than Jest, contract testing for microservices, 83% of database migrations fail without tests
DevOps: Blue-green/canary deployments, feature flags (90% incident reduction), Kubernetes 84% adoption, Prometheus/Grafana monitoring, OpenTelemetry tracing
Quick Decision Matrix
| Requirement | Recommended Choice |
|---|---|
| Rapid development | Node.js + NestJS |
| Data/ML integration | Python + FastAPI |
| High concurrency | Go + Gin |
| Extreme performance | Rust + Axum |
| ACID transactions | PostgreSQL |
| Flexible schema | MongoDB |
| Caching | Redis |
| Internal service communication | gRPC |
| Public API | GraphQL / REST |
| Real-time event streaming | Kafka |
Implementation Checklists
API: Choose style -> Design schema -> Input validation -> Add authentication -> Rate limiting -> Documentation -> Error handling
Database: Choose database -> Design schema -> Create indexes -> Connection pooling -> Migration strategy -> Backup/restore -> Performance testing
Security: OWASP Top 10 -> Parameterized queries -> OAuth 2.1 + JWT -> Security headers -> Rate limiting -> Input validation -> Argon2id password hashing
Testing: Unit tests 70% -> Integration tests 20% -> E2E tests 10% -> Load testing -> Migration testing -> Contract testing (microservices)
Deployment: Docker -> CI/CD -> Blue-green/canary deployment -> Feature flags -> Monitoring -> Logging -> Health checks
Resources
- OWASP Top 10: https://owasp.org/www-project-top-ten/
- OAuth 2.1: https://oauth.net/2.1/
- OpenTelemetry: https://opentelemetry.io/