Summer 2019 round-up


A round-up of tweets, links and other gubbins from the past few months (click here to read the previous instalment).

What I've been working on

Two projects have consumed most of my energy this season:

Firstly, a new phase of work for Macmillan Distribution's MDLConnect platform. This is a reasonably complex system with a lot of moving parts, so working on this project always engages the brain cells.

Secondly, a completely greenfield project for Pan Macmillan - an internal reporting tool used for scheduling book jacket design. This was really fun to work on, a chance to use .Net Core instead of the full Framework for a change, and without the constraints of working within an existing architecture. Not a huge project, but something that will hopefully grow in the future.

What I've been reading

The Forever War, by Joe Haldeman
Snow Crash, by Neal Stephenson
The Psychopath Test, by Jon Ronson

What I've been tweeting

As a primarily server-side developer, I rarely find myself in a situation where I need to choose a colour, but if I did, I'd probably pick one which spelled a rude word:

As if we haven't got enough to think about after Brexit, such as where our potatoes will come from, and how to catch a rabbit using nothing but a sharp pencil and a coat-hanger, we also have to worry about data transfer across European borders, sigh...

Nice photo article for lovers of NYC nostalgia (of which I am one):

This kept me entertained for hours - unleash your inner synth God:

Much as I appreciate the relational goodness of fully-flavoured SQL Server at my day job, I've been enjoying the simplicity of LiteDB on some of my hobby projects, when only simple data storage is needed:

Data Centre geek-fest:

Buyer Beware - Research from Princeton highlighting the 7 "Dark Patterns" operating at scale in ecommerce sites:

A bit off-topic, but I remember reading a version of this article several years ago, and thought it well worth re-sharing: drowning doesn't look like drowning:

I'm a big fan of Cloudflare, but hmm, something about eggs n' baskets...

Sobering research on the environmental impact of training a large-scale neural network: