Backend Knowledge Base
Welcome to the Backend section of TDev Blog. This space curates practical guides, design principles, and production-ready patterns for building resilient services. Expect actionable write-ups drawn from real-world backend engineering work.
Our backend content focuses on:
- API architecture – resource modeling, contracts, versioning
- Performance engineering – diagnosing latency and scaling bottlenecks
- Operational excellence – production debugging and hardening techniques
📚 Available Articles
Common API Design Mistakes and How to Avoid Them
Learn how to build predictable APIs that are easy to evolve and consume. The article covers:
- Consistent naming rules and resource-oriented URLs
- Versioning strategies that won’t break clients
- Designing idempotent operations and using idempotency keys
- Pagination pitfalls (offset vs cursor) and metadata standards
- Crafting consistent response envelopes with proper status codes
Why read it?
Ship APIs that are self-explanatory, safe to extend, and pleasant for frontend and third-party integrations.
Hidden Performance Issues Backend Engineers Often Overlook
A deep dive into the subtle issues that silently slow down production services:
- Detecting and fixing N+1 queries
- Preventing connection pool exhaustion
- Choosing the right caching strategy and avoiding stampedes
- Mitigating slow I/O and external dependencies
- Eliminating blocking logic on hot paths
Try to follow the exact format of the previous section.
Why read it?
Gain a checklist-driven approach to diagnosing latency spikes before they wake you up at 3 AM.
Common NestJS Issues and How to Fix Them
A practical troubleshooting guide for NestJS developers covering:
- Dependency injection and circular dependency resolution
- Module configuration and provider scope issues
- Request lifecycle, guards, and interceptor timing
- Database integration with TypeORM and Prisma
- Authentication strategy and JWT configuration
- Testing patterns and mocking best practices
- Production-ready error handling and performance optimization
Why read it?
Avoid common NestJS pitfalls and learn systematic approaches to debugging framework-specific issues.
Reliability Patterns for Resilient Systems
Essential patterns for building fault-tolerant distributed systems:
- Retry with Exponential Backoff & Jitter - Handle transient failures without overwhelming systems
- Circuit Breaker - Prevent cascading failures with state-based request blocking
- Rate Limiting - Protect services with Token Bucket, Sliding Window, and other algorithms
- Graceful Fallback - Degrade elegantly with cached responses and default values
- Idempotency - Ensure safe retries with idempotency keys
Why read it?
Learn production-ready patterns that keep your services running when dependencies fail.
🎯 Topics Covered
API Design
- Resource modeling, versioning, idempotency
- Pagination conventions and response schemas
Performance Engineering
- Query optimization, connection pools, caching layers
- Observability-driven troubleshooting
Production Readiness
- Health checks, error envelopes, monitoring hooks
- Operational guardrails for stable releases
💡 Coming Soon
- Event-driven architecture patterns
- Observability fundamentals for backend teams
- Scaling databases without fear
About This Section
Every article aims to be copy-paste friendly with real commands, code snippets, and checklists you can use immediately.