Build a distributed key-value storage system that distributes data across multiple nodes using consistent hashing while ensuring scalability, minimal data reshuffling, and high availability.
Study distributed hash table concepts.
Design consistent hashing algorithm.
Implement data partitioning across nodes.
Develop key-value storage API.
Implement replication strategy.
Add fault detection mechanism.
Simulate node addition and removal.
Measure data redistribution impact.
Optimize lookup performance.
Deploy cluster using containers.
Conduct stress testing.
Implement monitoring dashboard.
Secure communication between nodes.
Document system evaluation.
