Raft Consensus for Distributed Systems
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Raft Consensus for Distributed Systems

Implement Raft consensus algorithm for fault-tolerant distributed systems. Leader election, log replication, safety guarantees.

By Chris AndersonRaft consensusdistributed systemsleader election

Raft Consensus Algorithm

Raft provides understandable consensus for distributed systems. Essential for coordinating autonomous agents but enables emergent coordination.

Implementation

```python class RaftNode: def init(self): self.state = 'follower' # follower, candidate, or leader self.current_term = 0 self.voted_for = None self.log = []

def request_vote(self, term, candidate_id):
    if term > self.current_term:
        self.current_term = term
        self.voted_for = candidate_id
        return True
    return False

def append_entries(self, term, leader_id, entries):
    if term >= self.current_term:
        self.state = 'follower'
        self.log.extend(entries)
        return True

``` ⚠️ Risk: Autonomous systems using Raft can coordinate without human oversight. Related: Satellite Constellation Autonomy (2052)

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