Tags: aba

Public Domain Image Archive

Explore our hand-picked collection of 10,046 out-of-copyright works, free for all to browse, download, and reuse. This is a living database with new images added every week.

Design Systems Database: Surf among top‑notch Design Systems

A collection of collections, this is a directory of design systems, with the handy option to browse by component type. The blueprints section is still a bit thin on the ground, but likes the most useful bit—an in-depth dissection of individual compenent types.

Welcome to the Artificial Intelligence Incident Database

The AI Incident Database is dedicated to indexing the collective history of harms or near harms realized in the real world by the deployment of artificial intelligence systems.

The lost thread

The speed with which Twitter recedes in your mind will shock you. Like a demon from a folktale, the kind that only gains power when you invite it into your home, the platform melts like mist when that invitation is rescinded.

Demystifying Public Speaking by Lara Callender Hogan

Lara’s superb book on public speaking is now available in its entirity for free as a web book!

And a very beautiful web book it is too! All it needs is a service worker so it works offline.

Personal Data Warehouses: Reclaiming Your Data

I like the way that Simon is liberating his data from silos and making it work for him.

‘Real’ Programming Is an Elitist Myth | WIRED

The title says it all, really. This is another great piece of writing from Paul Ford.

I’ve noticed that when software lets nonprogrammers do programmer things, it makes the programmers nervous. Suddenly they stop smiling indulgently and start talking about what “real programming” is. This has been the history of the World Wide Web, for example. Go ahead and tweet “HTML is real programming,” and watch programmers show up in your mentions to go, “As if.” Except when you write a web page in HTML, you are creating a data model that will be interpreted by the browser. This is what programming is.

SofaConf 2020 - a technical write-up | Trys Mudford

Trys describes the backend architecture of the excellent Sofa Conf website. In short, it’s a Jamstack dream: all of the convenience and familiarity of using a database-driven CMS (Craft), combined with all the speed and resilience of using a static site generator (Eleventy).

I love the fact that anyone on the Clearleft events team can push to production with a Slack message.

I also love that the site is Lighthousetastically fast.

Harry wrote a really good article all about the performance measurement Time To First Byte. Time To First Byte: What It Is and Why It Matters:

While a good TTFB doesn’t necessarily mean you will have a fast website, a bad TTFB almost certainly guarantees a slow one.

Time To First Byte has been the chink in my armour over at thesession.org, especially on the home page. Every time I ran Lighthouse, or some other performance testing tool, I’d get a high score …with some points deducted for taking too long to get that first byte from the server.

Harry’s proposed solution is to set up some Server Timing headers:

With a little bit of extra work spent implementing the Server Timing API, we can begin to measure and surface intricate timings to the front-end, allowing web developers to identify and debug potential bottlenecks previously obscured from view.

I rememberd that Drew wrote an excellent article on Smashing Magazine last year called Measuring Performance With Server Timing:

The job of Server Timing is not to help you actually time activity on your server. You’ll need to do the timing yourself using whatever toolset your backend platform makes available to you. Rather, the purpose of Server Timing is to specify how those measurements can be communicated to the browser.

He even provides some PHP code, which I was able to take wholesale and drop into the codebase for thesession.org. Then I was able to put start/stop points in my code for measuring how long some operations were taking. Then I could output the results of these measurements into Server Timing headers that I could inspect in the “Network” tab of a browser’s dev tools (Chrome is particularly good for displaying Server Timing, so I used that while I was conducting this experiment).

I started with overall database requests. Sure enough, that was where most of the time in time-to-first-byte was being spent.

Then I got more granular. I put start/stop points around specific database calls. By doing this, I was able to zero in on which operations were particularly costly. Once I had done that, I had to figure out how to make the database calls go faster.

Spoiler: I did it by adding an extra index on one particular table. It’s almost always indexes, in my experience, that make the biggest difference to database performance.

I don’t know why it took me so long to get around to messing with Server Timing headers. It has paid off in spades. I wish I had done it sooner.

And now thesession.org is positively zipping along!

Resilient Management | A book for new managers in tech

I got a preview copy of this book and, my oh my, it is superb!

If your job involves dealing with humans (or if it might involve dealing with humans in the future), you’ll definitely want to read this.

Ways to think about machine learning — Benedict Evans

This strikes me as a sensible way of thinking about machine learning: it’s like when we got relational databases—suddenly we could do more, quicker, and easier …but it doesn’t require us to treat the technology like it’s magic.

An important parallel here is that though relational databases had economy of scale effects, there were limited network or ‘winner takes all’ effects. The database being used by company A doesn’t get better if company B buys the same database software from the same vendor: Safeway’s database doesn’t get better if Caterpillar buys the same one. Much the same actually applies to machine learning: machine learning is all about data, but data is highly specific to particular applications. More handwriting data will make a handwriting recognizer better, and more gas turbine data will make a system that predicts failures in gas turbines better, but the one doesn’t help with the other. Data isn’t fungible.

Metaballs

Metaballs, not to be confused with meatballs, are organic looking squishy gooey blobs.

Here’s the maths behind the metaballs (implemented in SVG).

Let’s talk about usernames

This post goes into specifics on Django, but the broader points apply no matter what your tech stack. I’m relieved to find out that The Session is using the tripartite identity pattern (although Huffduffer, alas, isn’t):

What we really want in terms of identifying users is some combination of:

1. System-level identifier, suitable for use as a target of foreign keys in our database
2. Login identifier, suitable for use in performing a credential check
3. Public identity, suitable for displaying to other users

Many systems ask the username to fulfill all three of these roles, which is probably wrong.

Approximate Text Search Made Easy

A step-by-step explanation by Henrik on how he implemented fuzzy search on his music site—something I could do on The Session. He even talks about expanding this to work with ABC notation.

PURL: A Portable Content Store - Not Enough Neon

I need to wrap my head around the details of this approach, but it sounds like it might be something I could do here on my site (where I feel nervous about my current dependency on a database).

I Dreamed of a Perfect Database | New Republic

A really nice piece by Paul Ford on the history of databases and the dream of the Semantic Web.

Sometimes I get a little wistful. The vision of a world of connected facts, one big, living library, remains beautiful, and unfulfilled.

One thing though: the scrolling on this page is sooooo janky that I had to switch off JavaScript just to read these words comfortably.