INTERMEDIATE Distributed Complexity 2 Lessons
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When One Machine Isn't Enough

The moment you have two machines, everything gets harder. Not because networks are unreliable (though they are) — but because there's no shared clock, no atomic state, and no global "now". This track builds deep intuition for the hardest problems in software: partial failures, consensus, and the impossibility results that tell you what you can't ever have.