https://martinuke0.github.io/tags/causal-consistency/ Recent content in Causal-Consistency on martinuke0's Blog https://martinuke0.github.io/%3Clink%20or%20path%20of%20image%20for%20opengraph,%20twitter-cards%3E https://martinuke0.github.io/%3Clink%20or%20path%20of%20image%20for%20opengraph,%20twitter-cards%3E Hugo -- 0.152.2 en Tue, 12 May 2026 14:00:22 +0000 https://martinuke0.github.io/posts/2026-05-12-scaling-distributed-state-with-conflict-free-replicated-data-types-and-causal-consistency-mechanisms/ Tue, 12 May 2026 14:00:22 +0000 https://martinuke0.github.io/posts/2026-05-12-scaling-distributed-state-with-conflict-free-replicated-data-types-and-causal-consistency-mechanisms/ <h2 id="table-of-contents">Table of Contents</h2> <ol> <li><a href="#introduction">Introduction</a></li> <li><a href="#why-distributed-state-is-hard">Why Distributed State Is Hard</a></li> <li><a href="#fundamentals-of-conflict%E2%80%91free-replicated-data-types-crdts">Fundamentals of Conflict‑Free Replicated Data Types (CRDTs)</a> <ul> <li>3.1 <a href="#state%E2%80%91based%E2%80%91cvrdt-vs%E2%80%91operation%E2%80%91based%E2%80%91cmrdt">State‑Based (CvRDT) vs. Operation‑Based (CmRDT)</a></li> <li>3.2 <a href="#common-crdt-families">Common CRDT Families</a></li> </ul> </li> <li><a href="#causal-consistency-the-missing-piece">Causal Consistency: The Missing Piece</a> <ul> <li>4.1 <a href="#definitions-and-guarantees">Definitions and Guarantees</a></li> <li>4.2 <a href="#vector-clocks-and-version-vectors">Vector Clocks and Version Vectors</a></li> </ul> </li> <li><a href="#merging-crdts-with-causal-consistency">Merging CRDTs with Causal Consistency</a> <ul> <li>5.1 <a href="#delta%E2%80%91state-crdts-%CE%B4%E2%80%91crdts">Delta‑State CRDTs (Δ‑CRDTs)</a></li> <li>5.2 <a href="#causally%E2%80%91ordered-delivery">Causally‑Ordered Delivery</a></li> </ul> </li> <li><a href="#design-patterns-for-scalable-distributed-state">Design Patterns for Scalable Distributed State</a> <ul> <li>6.1 <a href="#sharding-and-partitioning">Sharding and Partitioning</a></li> <li>6.2 <a href="#event%E2%80%91sourcing-with-crdts">Event‑Sourcing with CRDTs</a></li> <li>6.3 <a href="#hybrid-approaches-crdt--consensus">Hybrid Approaches: CRDT + Consensus</a></li> </ul> </li> <li><a href="#practical-example-real%E2%80%91time-collaborative-text-editor">Practical Example: Real‑Time Collaborative Text Editor</a> <ul> <li>7.1 <a href="#data-model-using-a-sequence-crdt">Data Model Using a Sequence CRDT</a></li> <li>7.2 <a href="#implementation-sketch-in-typescript">Implementation Sketch in TypeScript</a></li> </ul> </li> <li><a href="#implementation-in-different-languages">Implementation in Different Languages</a> <ul> <li>8.1 <a href="#rust-with-crdts-crate">Rust with <code>crdts</code> crate</a></li> <li>8.2 <a href="#go-with-go%E2%80%91crdt">Go with <code>go‑crdt</code></a></li> <li>8.3 <a href="#javascripttypescript-with-automerge">JavaScript/TypeScript with <code>automerge</code></a></li> </ul> </li> <li><a href="#performance-latency-and-bandwidth-considerations">Performance, Latency, and Bandwidth Considerations</a></li> <li><a href="#operational-concerns-and-monitoring">Operational Concerns and Monitoring</a></li> <li><a href="#challenges-open-problems-and-future-directions">Challenges, Open Problems, and Future Directions</a><br> 12 <a href="#conclusion">Conclusion</a><br> 13 <a href="#resources">Resources</a></li> </ol> <hr> <h2 id="introduction">Introduction</h2> <p>Modern applications—social networks, collaborative productivity suites, multiplayer games, and IoT platforms—must serve millions of users while maintaining a responsive, <em>always‑available</em> experience. To achieve this, developers often replicate state across geographically distributed data centers, edge nodes, and even client devices. Replication brings latency benefits, but it also introduces the classic <em>CAP</em> trade‑off: guaranteeing consistency across all replicas while tolerating network partitions is impossible without sacrificing availability.</p>