Missing the point about microservices: it's about testing and deploying independently

Ok, so I have to first preface this whole blog post by a few things:

  1. I really struggle with the term microservices. I can’t put my finger on exactly why. Maybe because the term is hopelessly ill-defined, maybe because it’s gotten picked up by the hype train. Whatever. But I have to stick to some type of terminology so let’s just roll with it.
  2. This blog post might be mildly controversial, but I’m throwing it out there because I’ve had this itchy feeling for so long and I can’t get rid of it. I respect it if you want to disagree vehemently, and maybe there’s something both of us can learn.
  3. I have a weird story. My first “real” company, Spotify, used a service-oriented architecture from scratch. I also spent some time at Google which used a service-oriented architecture. So basically since 2006 I’ve been continuously working in what people now call a “microservice architecture”. It didn’t even occur to me that some people might want to build things as monoliths. So I guess I’m coming at it from a different direction than many other. Either way, there were particular non-standard reasons why Spotify and Google had to do this that I’ll get back to later.

Let’s start by talking about iteration speed!

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Lessons from content marketing myself (aka blogging) for five years

I started writing this blog in late 2012, partly because I felt like it would help me improve my English and my writing skills, partly because I kept having a lot of random ideas in my head and I wanted to write them down somewhere. I honestly never cared too much about finding a particular niche, I just wanted to write down stuff that I found interesting. I set up a Wordpress blog on my crappy Swedish virtual private server.

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Plotting author statistics for Git repos using Git of Theseus

I spent a few days during the holidays fixing up a bunch of semi-dormant open source projects and I have a couple of blog posts in the pipeline about various updates. First up, I made a number of fixes to Git of Theseus which is a tool (written in Python) that generates statistics about Git repositories. I’ve written about it previously on this blog. The name is a horrible pun (I’m a dad!) on Ship of Theseus which is a philosophical thought experiment about what happens if you replace every single part of a boat — is it still the same boat ⁉️ 🤔

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Learning from users faster using machine learning

I had an interesting idea a few weeks ago, best explained through an example. Let’s say you’re running an e-commerce site (I kind of do) and you want to optimize the number of purchases.

Let’s also say we try to learn as much as we can from users, both using A/B tests but also using just basic slicing and dicing of the data. We are looking at how many people convert (buy our widgets) but a constant problem is there’s just too much uncertainty.

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