Master CAP Theorem, PACELC, Consensus (Raft/Paxos), Eventual Consistency, Vector Clocks, and Distributed Transactions (2PC).
Distributed Systems study collections of independent autonomous computers communicating over a network that appear to the end user as a single coherent system.
Modern cloud backends (AWS, Google Cloud, Netflix, Uber) run on thousands of server nodes. Distributed computing guarantees fault tolerance, elasticity, and high scale.
Cloud Infrastructure Engineers, Backend System Architects, Database Kernel Authors (Spanner, CockroachDB, Cassandra).
Dominates senior system design interviews (CAP theorem trade-offs, Raft consensus, Consistent Hashing, Distributed Locking, 2PC).
Advanced computer science elective covering consensus algorithms, fault models, and clock synchronization.
Master Consistency, Availability, Partition Tolerance (CAP), PACELC, Leader Election, and Raft Log Replication.