Distributed systems in this archive focus on building reliable, high‑performance messaging and control layers for .NET microservices on Azure. Articles cover resilient messaging platform design, comparative rate‑limiting strategies, and the role of message queues in achieving eventual consistency—key topics that help engineers build scalable, fault‑tolerant applications.
6 articles since Aug 2026
Explore the deep trade‑offs of CRDT vs OT for real‑time collaboration, with production‑ready patterns, performance data, and migration advice for modern editors.
Explore how Cache-Aside, Write-Through, and Write-Back caching strategies affect latency, consistency, and scalability in real‑time chat architectures.
Learn how to build a highly available vector search service while navigating CAP trade‑offs, with concrete .NET patterns, Azure AI Search integration, and production‑ready guidance.
Explore a production‑ready low-latency live comment stream architecture that handles 100k+ concurrent users, with concrete design patterns, code, and observability tips.
Learn practical patterns, pitfalls, and production tips for Designing a Resilient Messaging Platform Architecture that powers scalable .NET microservices with eventual consistency.
Explore the Sliding Window vs Fixed Window Rate Limiting Performance trade‑offs in high‑throughput systems, with real‑world code, scaling tips, and production pitfalls.