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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

πŸ“š 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

Why read it?

Gain a checklist-driven approach to diagnosing latency spikes before they wake you up at 3β€―AM.


🎯 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

πŸ’‘ Coming Soon ​

  • 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.

Released under the MIT License.