131 karma · joined June 19, 2017
https://github.com/TAJD - github
https://verdient.co.uk - software development and consultancy
High Scale/Revenue
│
│
Managed Services │ Self-hosted K8s
(Overpaying but │ (article is
no choice) │ pitched here)
│
────────────────────────────┼────────────────────────────
Low capacity │ High capacity
│
│
Managed Services │ Managed Services
(Right choice - │ (Wasting money on
focus on product) │ platform team)
│
Low Scale/Revenue
Or something like that. Maybe as a function of time as well but that might be harder to do in 2d.Sure I can absolutely manage my own k8s, but there is no doubt it's easier for me to spin up postgres and ship faster on my own. At enterprise scale it's definitely a lot easier to do everything in k8s and be able to manage as many aspects as possible. I have experience of both.
It’s similar to tic-tac-toe but slightly different of course.
Found it a great opportunity to learn about new areas of maths. Trying to figure out where to go next with it.
Potentially the heuristics would be about the level of user state management - e.g. if you're needing to do various workflows vs just presenting content.
Speed is probably the same as jekyll - but relative to my react vite and nextjs apps it's about 10 times faster.
I would definitely use Astro for more complicated websites than content driven - but would probably return to nextjs or more hefty full stack solutions for complicated web apps.
I am interested in how they're going to make money eventually, but right now it's working for me.
Does anyone have an idea about how they're going to monetize?
Created a game to learn navigational marks in the Solent https://guess-the-mark.verdient.co.uk/
Putting together the landing page for my software business https://verdient.co.uk/
I’m also putting together an analysis of warhammer 40k games and applying operational research techniques to it.
I was doing it today to create a gantt chart from mermaid.
I’ve built other applications inside react components as react seems relatively stable - I don’t really care about react though, only that it has a lot of training data for it.
If performance is an issue then sure let’s look at options. But I don’t think it’s appropriate to expect that sort of level of insight into an optimised solution from llms - but maybe that’s just because I’ve used them a lot.
They’re just a function of their training data at the end of the day. If you want to use new technology you might have to generate your own training data as it were.
https://bestefforttools.com/workouts
I wanted something to create realistic yet slightly randomised warm ups and finishers - similar to CrossFit wods but more structured.
Behind the scenes I use a formula that estimates a total work capacity.
Feedback welcome!
A lot of the time best practice can also mean “we did it this way last time and it was ok”. I don’t think anyone is saying don’t find improvements in “what is currently defined as best practice” and if they are then that’s your problem.
Shameless self promotion here but I wrote a little bit about calling Onnx in Scala here - https://tajd.co.uk/2023/10/15/onnx-interface-scala
Writing things down really helped give me a better perspective on the process I use to organise work as well.