Distributed File Storage System

Resilient distributed architecture with leader election and quorum replication.

Distributed File Storage System

Technologies & Concepts

Raft AlgorithmDistributed SystemsConsensusFault ToleranceLeader ElectionQuorum ReplicationCAP Theorem

Problem

Distributed storage systems often fail hard when a leader node goes down, causing downtime or inconsistent data states.

Solution

This system implements Raft-based leader election and quorum replication to maintain continuity under failure. When a node drops, the cluster detects, elects, and recovers automatically.

Results and Impact

  • Demonstrated recovery from leader-node failure with zero data loss.
  • Maintained service availability through automatic failover behavior.
  • Validated consistency guarantees across replicated nodes during election cycles.

Challenges

  • Coordinating deterministic state replication under concurrent updates.
  • Designing stable heartbeat and timeout thresholds for fast failover.
  • Balancing consistency and availability during partition-like scenarios.

Key Features

No Single Point of Failure

Distributed architecture ensures system continuity even when nodes fail.

Data Survivability

Data remains accessible even when infrastructure goes dark.

Automatic Failover

Zero human intervention required for recovery.

Strong Consistency

Guaranteed data consistency across all nodes.

Demo Outcome

We deliberately terminated the leader node during active operations.

The cluster detected the failure within seconds, initiated a new election term, and promoted a follower to Leader while preserving full data integrity.

Zero downtime. Zero data loss.

Technical Deep Dive

This project required production-like thinking around CAP tradeoffs, consensus transitions, and node-coordination behavior.

Consensus Protocol

Implemented Raft for distributed consensus and leader election.

Quorum Replication

Replicates updates to a majority before acknowledgment.

Failure Detection

Heartbeat strategy to detect failed nodes within seconds.

State Machine

Deterministic state replication across all cluster nodes.

Project Links

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