I was trying to visualise some S3 buckets for a cost optimisation exercise and wanted to be able to run a Tree command on it, obviously thats not a thing the Unix command can do … and I’ve been playing with JavaScript recently.
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I read this piece from the BBC and Sabine Zetteler’s words — “Why would I bother to read something someone couldn’t be bothered to write” — really resonated with me. I’ve long felt that when AI is used to generate content, it often becomes effortless and as a result, thoughtless and empty.
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I’ve been trying to think of a small game idea I could build as a way of playing with React and came up with a small game about guessing synonyms.
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I accidentally picked up a new hobby after my partner gifted my dad and I a wood turning course/experience thing for Christmas 2023. After talking to a colleague about it, it turned out she had a lathe in her garage that was going unused; after borrowing that for a bit it’s quickly taken over my spare time (and most of my house). With wooden bowls, pens, and all sorts of other creations piling up, I need a way to offload these one of a kind, priceless artefacts to recoup the costs of wood, oil, and sandpaper.
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There are many ways to manage cloud infrastructure and code we cram on it. In working with projects from the scale of one person’s hobby project to a service supporting millions of daily users there are considerations on how to deploy and deliver stuff in the cloud. When looking particularly at cloudy Serverless deployments here are some 5-ish patterns I like for handling the delivery, why, and the considerations involved.
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