Backend architecture focuses on how services, data stores, and caching layers are structured to meet performance and scalability goals. Articles cover cache strategy trade‑offs in distributed chat, scaling a Neo4j recommendation engine to millions of daily active users, and diagnosing sub‑second latency spikes in an agentic web stack. Understanding these patterns is essential for engineers designi…
3 articles since Aug 2026
Explore how Cache-Aside, Write-Through, and Write-Back caching strategies affect latency, consistency, and scalability in real‑time chat architectures.
Explore how to design, score, and scale a Neo4j Graph-Based Recommendation Engine that powers high‑throughput matching in modern dating apps.
Explore the webmcp agentic web stack, from Model Context Protocol to .NET agents, with production‑grade patterns, cost tricks, and real‑world case studies.