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.
Track Syllabus & Deep Dives
#cap-theorem#consistency#availability#partition-tolerance
How Distributed Systems Agree on Anything
#consensus#raft#paxos#leader-election