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Hermes Replication Protocol is a fast, fault-tolerant, and linearizable replication protocol designed for reliable data storage scenarios. Its design is inspired by multiprocessor cache coherence protocols, using a broadcast-based invalidation mechanism, logical timestamps, and “early value propagation” to achieve strongly consistent replication. The page shows that it is associated with an ASPLOS'20 paper, code, video, slides, poster, and Q&A, and that it received an IEEE Micro'20 Top Picks Honorable Mention.
Hermes’ core selling point is strong consistency: before a write, it invalidates the object on all replicas, and only replicas whose local object state is Valid can serve read requests. This is intended to achieve linearizability, i.e., real-time single-copy semantics. In terms of performance, it allows all replicas to serve local reads; writes have no centralized ordering point, support coordination by multiple replicas, support parallel writes to different objects, and are claimed to commit after one RTT without requiring aborts. For fault tolerance, Hermes relies on reliable membership to identify available nodes; if a failure leaves replicas stuck in an invalid state, any blocked node can safely unblock itself by replaying the write. The protocol also supports RMW atomic read-modify-write operations with efficiency close to that of ordinary writes, and has been model-checked with TLA+.
The code is freely distributed to the public under the Apache 2.0 License, making it a free and open-source project. The page does not provide information about a commercial edition, hosted service, SLA, paid support, or payment methods.
The strengths are that the protocol has a clear goal, focusing on strong consistency, high-performance reads and writes, and failure recovery; reads can be localized, while writes are decentralized and highly concurrent; and the research materials are relatively rich, making it suitable for understanding the design in depth. The drawbacks are that it is more like a research prototype or protocol implementation. The page does not disclose supported languages, SDKs/APIs, production deployment manuals, monitoring and operations guidance, version stability, or real-world integration cases, so its out-of-the-box usability for general application developers is limited.
It is suitable for distributed systems researchers, database and storage engine teams, and infrastructure engineers who need to evaluate linearizable replication mechanisms. It is less suitable for teams looking for an out-of-the-box cloud service or general-purpose development framework.
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