roshi
A distributed, eventually consistent CRDT set implementation for timestamped events, built on Redis.
What is roshi?
Roshi is a distributed system that implements a Last-Writer-Wins element set CRDT for storing timestamped events. It provides a scalable, eventually consistent index for time-series data, designed to handle large datasets across multiple Redis instances without requiring consensus protocols. It solves the problem of high-performance event storage in critical request paths, such as activity streams.
Developers and architects building large-scale, fault-tolerant systems that need to index and query timestamped events, particularly those requiring high availability and partition tolerance.
Developers choose Roshi for its simplicity, leveraging CRDT semantics to avoid complex consensus algorithms, and its performance as a distributed layer on Redis. Its stateless design and built-in read-repair make it robust for scalable event indexing.
Overview
Roshi is a large-scale CRDT set implementation for timestamped events.
Use Cases
Best For
- Building high-performance activity streams or timelines
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