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When you first come across the Raft consensus algorithm, it might seem like just another complex distributed systems concept. In reality, Raft is designed to solve a very specific problem,
If you look at any modern application today, you will quickly realize that APIs sit at the center of everything. Whether it is a mobile app fetching data, a frontend
When you build modern systems, you are almost always building around APIs, whether you realize it or not. Every frontend application, mobile app, or third-party integration depends on APIs to
If you look at how modern systems handle data, you will quickly notice that object storage sits at the center of many large-scale architectures. From storing images and videos to
When you start preparing for System Design interviews, you quickly realize that most candidates focus heavily on APIs, caching layers, and high-level architecture diagrams. What often gets overlooked is the
When you design a system, one of the first questions you should ask yourself is how much load it needs to handle today and how that load might grow tomorrow.
You start your journey in machine learning by building models—training classifiers, tuning hyperparameters, and optimizing metrics. At this stage, success is often measured by accuracy, precision, or recall on a
When you walk into an iOS System Design interview, you are not being evaluated on how well you can build UI screens or write Swift code from memory. Instead, you
When you step into an Android System Design interview, you are no longer being evaluated as someone who can simply build screens or write Kotlin code efficiently. Instead, you are
When you first introduce caching into a system, the results can feel almost magical. Your application becomes faster, database load drops, and response times improve significantly. However, as traffic grows
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System Design interviews
Scalable architecture patterns
Distributed systems fundamentals
Real-world case studies
