Partitioning of Key-Value Data in Cache Systems (Part 1)
18 June 2025, 4 min readThis article introduces cache partitioning strategies for distributed systems, focusing on how to efficiently manage large volumes of data and heavy traffic. It explains the importance of partitioning, compares replication and partitioning approaches, and discusses key techniques like consistent hashing to balance load across cache nodes. The post also covers how to decouple cache partitioning from application logic using tools like Ketama and Twemproxy, with practical guidance for Kubernetes environments.