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Topic · IT & Coding
distributed systems
8 shorts across 1 course, in learning order
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Shorts · 8
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⚡ One HLD concept. 60 seconds. Interview ready
Understanding Vector Clocks in Distributed Systems
Vector clocks help track the order and concurrency of events in distributed systems.
⚡ One HLD concept. 60 seconds. Interview ready
Understanding Lamport Timestamps in Distributed Systems
Lamport Timestamps help order events in distributed systems while preserving causality.
⚡ One HLD concept. 60 seconds. Interview ready
FAANG HLD 🔥 | Raft vs Paxos — What's the Difference? Consensus Explained! ⚡
Raft and Paxos are protocols that help computers agree on values in distributed systems.
⚡ One HLD concept. 60 seconds. Interview ready
Understanding Quorum and Majority in Distributed Systems
Quorum and majority help distributed systems maintain data consistency and availability.
⚡ One HLD concept. 60 seconds. Interview ready
Understanding Raft Log Replication: matchIndex vs commitIndex
matchIndex tracks what each follower has, while commitIndex shows what is committed.
⚡ One HLD concept. 60 seconds. Interview ready
Understanding Consensus in Distributed Systems
Consensus ensures that distributed systems can agree on decisions even during failures.
⚡ One HLD concept. 60 seconds. Interview ready
Understanding Quorum Reads in Distributed Systems
Quorum Reads ensure data consistency by querying multiple replicas in distributed systems.
⚡ One HLD concept. 60 seconds. Interview ready
Understanding CAP Theorem: Trade-offs in Distributed Systems
The CAP Theorem explains the trade-offs in distributed systems during network failures.
🧠Related by meaning
Not tagged “distributed systems”, but closely connected
