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  • Causal Consistency for Large Neo4j Clusters

    Jim Webber, chief scientist at Neo4J Technology, explored how Neo4J implements causal consistency at QCon London 2017. The presentation included a high-level overview of Neo4J’s clustering architecture, its implementation of consensus using Raft, and a pattern called bookmarking used to achieve read-after-write consistency.

  • Real-World Consistency Explained: Uwe Friedrichsen Discusses His Favourite Academic Papers

    At the microXchg 2016 conference, held in Berlin, Germany, Uwe Friedrichsen presented a deep-dive into “real-world consistency explained”. Friedrichsen referenced multiple academic papers and discussed topics such as ACID vs BASE, his belief that many developers may not fully understand consistency guarantees with a typical SQL database, and how consistency affects microservice systems.

  • Scaling Stateful Services

    Caitie McCaffrey, distributed systems engineer at Twitter, talked about the benefits of stateful services which are less known than their stateless counterparts in the industry and how they can be scaled at the Strange Loop conference. The benefits include data locality and higher availability and stronger consistency models. McCaffrey also gave real world examples of stateful services.

  • Alternatives to Eventual Consistency

    Causal Consistency models offer an alternative Eventual Consistency for distributed systems; both models should be weighed against your system's requirements and risk tolerance.

  • BitCoins Lost, MongoDB and Eventual Consistency

    The recent theft from several BitCoin operators has sparked a debate whether eventually consistent databases are useful or not for banking.

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