Simulate and understand distributed workload balancing.
Provision Server/Auto-Provision Server: Add a server (node) to the consistent hash ring. This demonstrates how new servers are integrated and how the system scales. Understanding this is crucial for scaling your distributed system.
Decommission Server: Simulate a server failure or decommissioning. Observe how data is redistributed. This illustrates fault tolerance and how consistent hashing minimizes data movement during node removal.
Ingest Workload: Add data (key-value pairs) to the hash ring. See how data is distributed across nodes. This visualizes the core concept of consistent hashing: mapping data to nodes based on their hash values.
Locate Data Replica: Lookup the node responsible for a specific data item. This shows how consistent hashing efficiently locates data in a distributed system, crucial for fast data retrieval.
Reset System: Clear all nodes and data. This allows you to start fresh and experiment with different scenarios, reinforcing your understanding of consistent hashing principles.
Load Distribution Guide: