Francesco Allertsen - Issue #37

I completely agree with this sentence! How is it possible that I can run something that has been designed for a specific hardware in another completely different hardware?

At first, it looks like magic, but then once you start looking at the technicalities you understand is just a complex code :-).

In this article, you can see someone who managed to develop a Gamebody emulator from scratch in 1.5 months, and the problems he found on the way. It’s not only interesting, but he also triggered me to have a deeper look at this, and maybe try to make one myself as a small prototype. As I have previously read and studied, the Gameboy hardware can be a good starting point to learn more about emulators.

Search has always been a complex problem. How can you search in a huge database what are you looking for? There is so many information that can be looked into and so many ways to organize the information, what are the optimal way and the best way for your use case?

Algolia is a SaaS service that provides search as a service, and they have also big customers that want optimal and fast searches. This is a series of 8 articles where they explain a lot of the internals on how they manage the amount of data they have. They are very well written and I suggest you read all of them to have a broad overview and understanding how search works.

This is the goal of every company, to be 100% cloud-independent, so you are not locked into any technology, and you are always free to change providers if needed.

If your technology is also 100% cloud-independent you can start working in a multi-cloud environment, so you are not reliant only on one provider, but you can use more than one in case anyone fails.

In this article is explained how Netlify is 100% cloud-independent, and it was already using multiple providers for the edge locations, but still, they were using only a single provider for the origin servers. They have now managed to migrate (without downtime) to use multiple providers also for the origin servers, and this gives them complete freedom on which provider to use and now the infrastructure is completely distributed in multiple providers and reliant to anyone having a problem.

If you want to solve the Rubik’s pocket cube, how would you start solving the problem? I would probably start working on an algorithm to efficiently solve the cube according to the current position, or maybe think about training a hypothetical neural network that would find the optimal algorithm with some training.

This article found a very different approach.

That’s true, there are not too many positions, why not use a graph database and let the database find the “correct” move for each position?

I am always interested in people that instead of thinking like everyone else, find alternative solutions to known problems. This is a great example of it.