I spent some months following BTS and Blackpink and others, butchering my algorithmic recommendations in the process, and concluded that there are four key things all K-pop bands do to cultivate their fandoms. I’ll describe each below, along with examples of how founders and execs can modify these tactics to build passion for a product, brand, or mission. No dancing required.

In this post I will show you how to break down Linux system load by the load contributor or reason. You can drill down into the “linux system load in thousands” and “high system load, but low CPU utilization” problem patterns too.

With this demo, you can supply an Input string and see the combinations that are confusable with it, using data collected by the Unicode consortium. You can also try different restrictions, using characters valid in different approaches to international domain names.

TL;DR: OSC52 is an ANSI escape sequence that allows you to copy text into your system clipboard from anywhere, including from remote SSH sessions. Check vim-oscyank, a plugin which integrates OSC52 into Vim.

The world’s most widely used web app scanner. Free and open source. Actively maintained by a dedicated international team of volunteers.

In its simplest form, git worktree add <path> automatically creates a new branch whose name is the final component of <path>, which is convenient if you plan to work on a new topic. For instance, git worktree add ../hotfix creates new branch hotfix and checks it out at path ../hotfix. To instead work on an existing branch in a new worktree, use git worktree add <path> <branch>. On the other hand, if you just plan to make some experimental changes or do testing without disturbing existing development, it is often convenient to create a throwaway worktree not associated with any branch. For instance, git worktree add -d <path> creates a new worktree with a detached HEAD at the same commit as the current branch.

If a working tree is deleted without using git worktree remove, then its associated administrative files, which reside in the repository (see "DETAILS" below), will eventually be removed automatically (see gc.worktreePruneExpire in git-config[1]), or you can run git worktree prune in the main or any linked worktree to clean up any stale administrative files.

The basic insight behind Levenshtein automata is that it's possible to construct a Finite state automaton that recognizes exactly the set of strings within a given Levenshtein distance of a target word. We can then feed in any word, and the automaton will accept or reject it based on whether the Levenshtein distance to the target word is at most the distance specified when we constructed the automaton. Further, due to the nature of FSAs, it will do so in O(n) time with the length of the string being tested. Compare this to the standard Dynamic Programming Levenshtein algorithm, which takes O(mn) time, where m and n are the lengths of the two input words! It's thus immediately apparrent that Levenshtein automaton provide, at a minimum, a faster way for us to check many words against a single target word and maximum distance - not a bad improvement to start with!

Of course, if that were the only benefit of Levenshtein automata, this would be a short article. There's much more to come, but first let's see what a Levenshtein automaton looks like, and how we can build one.

When you think about it, OpenSea would actually be much "better" in the immediate sense if all the web3 parts were gone. It would be faster, cheaper for everyone, and easier to use. For example, to accept a bid on my NFT, I would have had to pay over $80-$150+ just in ethereum transaction fees. That puts an artificial floor on all bids, since otherwise you'd lose money by accepting a bid for less than the gas fees. Payment fees by credit card, which typically feel extortionary, look cheap compared to that. OpenSea could even publish a simple transparency log if people wanted a public record of transactions, offers, bids, etc to verify their accounting.

However, if they had built a platform to buy and sell images that wasn't nominally based on crypto, I don't think it would have taken off. Not because it isn't distributed, because as we've seen so much of what's required to make it work is already not distributed. I don't think it would have taken off because this is a gold rush. People have made money through cryptocurrency speculation, those people are interested in spending that cryptocurrency in ways that support their investment while offering additional returns, and so that defines the setting for the market of transfer of wealth.

But while there are many tools to automatically renew certificates for publicly available webservers (certbot, simp_le, I wrote about how to do that 3 years back), it's hard to find any useful information about how to issue certificates for internal non Internet facing servers and/or devices with Let's Encrypt.

This article is not an attempt to explain containers in one go. Instead, it's a front-page for my multi-year study of the domain. It outlines the said learning path and then walks you through it, pointing to more in-depth write-ups on this same blog.

Mastering containers is no simple task, so take your time, and don't skip the hands-on parts!

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