Snaps are yet again at the center of the problem. It's been more than 10 years and they still cause issues, are generally hated by the community and a PR disaster.
Ulid have a short representation that uuid7 could use but doesn't define. Also, has UUID7 been standardized already? I thought it was still in the pipeline.
Statistically, being successful on accident with paypal, tesla, starlink and space x each individually is pretty improbable given the complexity of each.
Musk is a visionary, no question. Driven? Absolutely.
I feel however, that many of his successes including most you mention are in spite of him rather than because of him. I respect that you might feel differently.
I have dumb phone for that. If they pressure me to install something on it, I just bring them that phone (with my real sim), and ask them how we shall proceed.
> And what exactly is wrong with GraphQL ? It is better than REST for a number of use cases.
When a response is a representation of a single resource, that response has a definitive caching lifetime. When a response represents a synthesis of a bunch of random crap the user asked for, the response has no clear caching lifetime, and so is uncacheable.
Most of the scalability the web has achieved, rides on the back of response caching at one level or another. Even low-level business-backend vendor APIs can—and are often designed under the assumption and requirement of—being cached. GraphQL throws that property away.
GraphQL seems like a great idea if you're a massive social media company looking for ways to empower devs to stamp out flavor of the week social media widgets without being tied to existing APIs. I'd bet most companies doing GraphQL are just doing uncacheable things that REST APIs could do fine.
Almost all graphQL clients implement a custom caching layer (for example using indexeddb in the browser) that can cache resources with different timelines, also when they’re returned in a single response.
Yeah, but that's client-side caching, which doesn't get you much in terms of scalability. Scalability comes from transparent backend reverse-proxy caching — Varnish and the like. You can cache the resources that go into a GraphQL response, but you still have to build the GraphQL response each time — and that can become a problem, as various should-be-trivial parts of each request's backend lifecycle start living long enough during high concurrency request loads to destroy request-queue clearance rates.
So if you don't tie all your contacts, sync and backup to your google account, you can have a phone that they won't lock you out of.