Consensus Algorithms Demystified

Maria V

Maria V

· June 15, 2025

                    
                        // Example: Simple Leader Election
                        const nodes = [NODE_1, NODE_2, NODE_3];
                        const consensus = new Raft();
                        
                        async function reachConsensus() {
                            const leader = await consensus.selectLeader(nodes);
                            console.log(`Leader elected: ${leader.id}`);
                            return consensus.finalize();
                        }

                        reachConsensus();
                    
                
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Why Consensus Matters

In distributed systems, achieving agreement across independent nodes is like herding cats. Consensus algorithms ensure all participants agree on a single data value. Imagine blockchain, databases, or cloud services failing simultaneously without this core mechanism.

Distributed Systems Diagram

"Consensus is the heartbeat of fault-tolerant systems." – Distributed Systems Handbook

Key Requirements

  • • Termination
  • • Validity
  • • Agreement
  • • Integrity

Real-World Applications

  • • Blockchain networks
  • • Distributed databases
  • • Kubernetes
  • • Cloud orchestration
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Algorithm Showdown

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Paxos

Google's foundational algorithm for large-scale systems. While powerful, it's complex to implement and requires careful tuning of phases.

Complexity: ⭐⭐⭐⭐ Latency: ⭐⭐⭐

Raft

Simpler than Paxos with clear leader election and log replication. Popular in etcd and Kubernetes for its intuitive design.

Complexity: ⭐⭐ Latency: ⭐⭐⭐½

PBFT

Provides robust Byzantine fault tolerance but with higher computational overhead. Common in cryptocurrency protocols like Ethereum.

Complexity: ⭐⭐⭐½ Latency: ⭐
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Algorithm Benchmark
Metric Paxos Raft PBFT
Nodes 5+ 3+ 3N
Throughput ~1k ops/sec ~2.5k ops/sec ~100 ops/sec
Fault Tolerance F Crash BFT
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Choosing the Right Algorithm

When designing your next distributed system, consider these criteria:

  • Network Stability: Paxos requires stable communication paths
  • Node Count: Raft scales better than PBFT
  • Consistency Model: Linearizability vs. Eventual Consistency
  • Trust Level: PBFT requires all nodes to be trusted
Network Decision Matrix
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