https://chatgpt.com/canvas/shared/67e3d76797548191918408d1c1b61148
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Imagine, for a moment, sailing across an endless ocean—not unlike navigating a web application under active users, live data, and shifting UI states, or a globally distributed backend system balancing load spikes, distributed consensus, failovers, and traffic-shaping. Your vessel must withstand unpredictable waves—vast data flows, ever-changing states, networks of tangled dependencies shifting beneath your feet like cascading component updates, form interactions, async fetches, scroll-linked animations, background job queues, or replicated state machines. And yet, many still rely on hastily built rafts, frantically patching leaks as storms of complexity intensify, be it in the UI thread or inside clustered network runtimes.
Could it be we've overlooked lessons patiently crafted by giants who came before—those who dealt with state, fault tolerance, and concurrency long before these became fashionable in modern distributed systems?
Cons