System design on this blog examines the architectural decisions that underpin reliable, scalable .NET/Azure and AI solutions. Articles cover idempotent payment processing and Redis cache failure modes, Kubernetes autoscaling for capacity estimation, and memory optimization techniques inspired by Sally McKee’s legacy—each illustrating how thoughtful design mitigates production risk and improves per…
6 articles since May 2026
Explore how to pick a short URL identifier scheme that meets performance, security, and scaling goals. Compare random, sequential, and hash‑based approaches with concrete metrics and production‑ready patterns.
Explore a production‑grade design for a real-time shipment tracking platform, covering scalable state management, event‑driven pipelines, and Azure‑native microservices.
Explore a production‑grade Agentic AI Customer Support Platform Architecture, from multi‑agent orchestration in .NET to Azure AI Foundry integration, with concrete code, scaling tactics, and hard‑won lessons.
Learn how to guarantee payment transaction consistency and avoid double charges with robust idempotency patterns, scaling tricks, and production‑ready observability for modern payment platforms.
Learn why capacity estimation in system design is critical, how to model workloads, choose scaling patterns, and avoid costly pitfalls with real‑world case studies and actionable tools.
Discover the importance of memory optimization in software engineering, its challenges, and techniques to improve system performance, as we pay tribute to Sally McKee's contributions to the field.