CRDT optimizations

After series of 11 blogs posts about Conflict-free Replicated Data Types, it's time to wrap up. This time let's discuss various optimizations that could be applied to CRDTs working at higher scale. Other blog posts from…

Pure operation-based CRDTs

In this blog post we'll continue on topic of operation-based CRDTs and focus on the optimizations and approach known as pure operation-based CRDTs [https://hal.inria.fr/hal-01287738/document]: how can we use them to address some of…

Data Loaders

Have you ever run into N+1 select problems with your GraphQL endpoint? If so, don't worry anymore. Today we're going to generalize and solve this kind of issues as well as discuss and explain the…

Writing high performance F# code

While this post is addressed to F# .NET developers, it introduces much wider concepts starting from hardware architecture to overall .NET runtime and JIT compiler optimizations. It shouldn't be a surprise - optimizing the application performance requires us…

HyParView: cluster membership that scales

In the past I've made an introduction to different layers of cluster protocols and presented SWIM [https://www.bartoszsypytkowski.com/make-your-cluster-swim/]: a simple and intuitive approach to cluster membership, popularized by success of tools such as Hashicorp Consul.…

Operation-based CRDTs: arrays (part 2)

Last time [https://www.bartoszsypytkowski.com/operation-based-crdts-arrays-1/] we were discussing how to build a Commutative Replicated Data Types operating as indexed sequences - preserving order of inserted elements - using two different data structures: Linear Sequences (LSeq) and Replicated Growable…

Operation-based CRDTs: arrays (part 1)

In this post, we'll continue onto topic of Commutative Replicated Data Types. We already mentioned [https://www.bartoszsypytkowski.com/operation-based-crdts-registers-and-sets/#sets] how to prepare first, the most basic types of collections: sets. This time we'll go…