Backend Knowledge Base β
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 β resource modeling, contracts, versioning
- Performance engineering β diagnosing latency and scaling bottlenecks
- Operational excellence β production debugging and hardening techniques
π Available Articles β
Common API Design Mistakes and How to Avoid Them β
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 wonβt 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 β
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
Why read it?
Gain a checklist-driven approach to diagnosing latency spikes before they wake you up at 3β―AM.
π― Topics Covered β
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
π‘ Coming Soon β
- Event-driven architecture patterns
- Resilient messaging and retries
- 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.
