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Comparative analysis of API paradigms and their impact on system coupling, performance, and data retrieval efficiency.
Distinguishing note: Focuses on the high-level architectural trade-offs between REST, GraphQL, and gRPC rather than implementation details.
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This project is a comprehensive educational resource focused on the principles, patterns, and trade-offs required to design scalable, reliable, and high-performance distributed systems. It provides a structured curriculum that covers the fundamental architectural strategies necessary for building modern software infrastructure, ranging from high-level system decomposition to low-level networking and data management. The repository distinguishes itself by offering deep dives into complex architectural patterns, such as microservices-based decomposition, event-driven communication, and command-
Now that we know how these API designing techniques work, let's compare them based on the following parameters: - Will it cause tight coupling? - How chatty (distinct API calls to get needed information) are the APIs?