Distributed Systems
Master consensus algorithms, leader election, fault tolerance, and distributed transactions.
Clock Synchronization (NTP, Lamport)
Read →Learn how distributed systems synchronize clocks and order events using NTP and Lamport clocks.
Consensus Algorithms (Raft, Paxos)
Read →Learn how distributed systems achieve consensus among nodes using Raft and Paxos algorithms.
Distributed Logging
Read →Learn how to collect, aggregate, and analyze logs from distributed systems.
Distributed Transactions
Read →Learn how to maintain ACID properties across multiple nodes in distributed systems.
Fault Tolerance
Read →Learn how to design systems that continue operating correctly even when components fail.
Gossip Protocol
Read →Learn how gossip protocols enable efficient information dissemination in large-scale distributed systems.
Heartbeats & Health Checks
Read →Learn how to monitor node health and detect failures in distributed systems.
Idempotency
Read →Learn how to make operations idempotent to handle retries and failures safely in distributed systems.
Leader Election
Read →Learn how distributed systems elect a leader to coordinate activities and ensure consistency.
Partition Tolerance
Read →Learn how distributed systems handle network partitions and maintain availability.
Replication Lag
Read →Learn about replication lag in distributed databases and how to handle it.
Three-Phase Commit (3PC)
Read →Learn Three-Phase Commit protocol that reduces blocking compared to 2PC.
Two-Phase Commit (2PC)
Read →Learn the Two-Phase Commit protocol for achieving atomicity in distributed transactions.