Free Mermaid diagrams covering Raft, Paxos, leader election, gossip protocols, distributed hash tables and more.
Distributed systems coordinate computation and data across multiple independent nodes, tolerating partial failures while appearing as a single coherent service. Building reliable distributed systems requires understanding the fundamental tension between consistency, availability, and partition tolerance — the CAP theorem that shapes every design decision.
This collection of 10 free Mermaid diagrams covers the core algorithms and architectures that power modern distributed infrastructure. Consensus is the hardest problem: Raft Consensus Algorithm provides an understandable log replication protocol, while Paxos Consensus Flow shows the classic two-phase approach. Leader Election Algorithm illustrates how nodes self-organize to designate a coordinator when the current leader fails.
For large-scale data distribution, Distributed Hash Table and Chord Protocol show how keyspaces are partitioned and routed efficiently across node rings. Gossip Protocol demonstrates epidemic-style information propagation used for membership and failure detection. On the compute side, MapReduce Execution and Distributed Task Scheduling cover parallel job execution patterns. Data Replication Strategy and Cluster Coordination Architecture tie the operational concerns together. Every diagram is editable in Graphlet.
