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Distributed computing is less binary, more probability

Since late 2011 I’ve been working on distributed computing platforms, where software that runs across more than one machine is running as what we’d call a cluster. Now, as I focus more on blockchain and DLT, a lot of the approaches to computing are similar. A lightweight version of the challenges with working on distributed […]

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Rust, is this the next big thing?

In 2010 I wrote a blog post called “Node.js, is this the next big thing?” I came to think about that again this week when I randomly watched Yevgeniy (Jim) Brikman’s video about the Play Framework at LinkedIn. Combine this with the progress of Scala.js and ClojureScript and I think we can conclude that node.js was very […]

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Building a better DynamoDB throughput scaling tool, part 2

A month back I blogged about wanting a better throughput scaling tools for DynamoDB. Not having been able to find an existing tool that ticked all my boxes, I ended up scratching my own itch and developed a small Java tool that runs in the background, monitoring a set of DynamoDB tables. The tool satisfy […]

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Building a better DynamoDB throughput scaling tool

I use DynamoDB, Amazon Web Services’ managed NoSQL data store. It’s a fantastic tool, where there’s basically no management needs placed on me. That’s with two exceptions: Backups Throughput scaling Backups is fine. I built a small tool that gets the latest changes and stores them elsewhere. Throughput scaling is a bit more involved so I […]

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The economic scalability of DynamoDB

I’ve been using DynamoDB for a few months now after re-architecting a system which started becoming painful to scale on a traditional RDBMS system. The problem wasn’t necessarily read/write performance but rather the total storage space needed as a lot of “unstructured” blobs was stored in the DB. DynamoDB gives me a care free setup […]