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Imagine you're building the next Amazon. Your application needs to store: Customer information Product catalog Orders Payments Reviews Shopping carts One of the first questions you'll face is: Should I use SQL or NoSQL?
Imagine you're using Amazon during the Big Billion Sale. You search for: "iPhone 16 Pro" Within milliseconds, thousands of matching products appear. Now imagine Amazon had to scan every product in its database before showing the results. Instead of milliseconds... It could take minutes. Imagine the experience for millions of users.
System Design Series — Part 33 Imagine you're ordering food on Swiggy. You click "Place Order." The app sends a request to the Payment Service. Suddenly... The Payment Service doesn't respond. Was the payment server completely down?
ML.NET vs generative AI: when classical machine learning still wins for fraud scoring, demand forecasting, and churn prediction on .NET—cheaper, auditable, and often more accurate than LLM guesses.
Local LLMs with Ollama for offline .NET development: run Llama and Mistral on your machine for docs, tests, and refactors without sending fintech or LMS code to the cloud—setup, limits, and honest trade-offs.
Prompt engineering for software engineers writing production code: structured templates, verification loops, and team patterns that survive code review—not hype for one-off ChatGPT demos.
Build RAG applications with ASP.NET Core and Azure OpenAI: ingest LMS course docs, embed with Azure AI Search, and serve grounded answers via minimal APIs—step-by-step with production pitfalls.
From BSON basics to production MERN stacks: schema design, indexing, aggregation, transactions, Atlas, and mistakes Node developers make when escaping SQL habits.
A decision framework for .NET shops: where Blazor WebAssembly and Server shine, where React wins the ecosystem, hiring realities, and hybrid patterns that ship.
Distributed .NET is not a default upgrade path: boundaries, data ownership, observability costs, and honest signals that a modular monolith will ship faster.
Move from layered confusion to testable .NET solutions: domain at the center, application use cases, infrastructure at the edge, and migration steps that do not freeze your team for a quarter.
Build secure token-based auth: access token lifetimes, refresh rotation, storage trade-offs, and common mistakes that leak sessions in SPAs and mobile clients.
Make your EF Core and ADO.NET apps faster with the right indexes, readable execution plans, and habits that stop N+1 queries before they reach production.
Learn how to approach system design interviews and real architecture decisions as a .NET backend engineer: APIs, data, caching, messaging, and trade-offs hiring managers expect you to articulate.
Records, primary constructors, minimal hosting, Native AOT considerations, and collection expressions—practical .NET 8 features you will actually write, not release-note trivia.
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