ntfy VS cue

Slightly related, but I've also been working on and off for a few years on my own Type 1 Diabetes management solution (https://github.com/algao1/iv3).

I haven't had time to work on it recently, but it uses ntfy (https://ntfy.sh/) to send alerts and such.

I was thinking of eventually incorporating some kind of automatic remedial solution eventually to help keep my glucose in range, but haven't had any time to look into it yet.

If you go to the settings, there should be a notification category, which then contains another menu "App Notifications" where you can see all the apps that are allowed to receive notifications, but I don't know if this will stop google play services to receive these identifiers.

I use GrapheneOS, so I don't have any google play services running, but for the apps where I need notifications I use https://unifiedpush.org/ (only a few apps implement it) and I host my own https://ntfy.sh server.

Kind of similar, in the early days of COVID, I accidentally discovered that my state's website would have test results available several hours before they sent out the "view your results" email. So I made a script that would check the site every five or ten minutes and then ping me as soon as the result changed to something besides PENDING.

In the course of that I stumbled on https://ntfy.sh/ which solved the notification problem without needing Twitter, and I've used it since then to let me know when long-running scripts complete.

I connect any app that supports https://unifiedpush.org/ to a self hosted https://ntfy.sh instance for fully self hosted push notifications

changedetection.io just donated to the awesome crew over at ntfy.sh

For further monitoring & alerting about critical cpu temperatures (unlikely now) for example, I plan to use notify & something else. Haven't thought about this much yet though.

I've started tossing https://ntfy.sh/ alerts into my Deno apps to get push notifications for things I'm interested in

ntfy.sh

If it was for fun and to learn how, that's fair. But are you aware of https://ntfy.sh?

Where `kube.cue` sets reasonable defaults (e.g. image is /). The "cluster" runs on a mini PC in my basement, and I have a small Digital Ocean VM with a static IP acting as an ingress (networking via Tailscale). Backups to cloud storage with restic, alerting/monitoring with Prometheus/Grafana, Caddy/Tailscale for local ingress.

[1] https://www.talos.dev/

[2] https://cuelang.org/

I've been somewhat surprised that CUE bills itself as "tooling friendly" and doesn't yet have a language server- the number one bit of tooling most devs use for a particular language.

I'm assuming it's becaus CUE is still unstable?

Anyway, if others are interested in CUE's LSP work, I think https://github.com/cue-lang/cue/issues/142 is the issue to subscribe to

This is where I usually pitch in with "Have your heard of CUELang, our lord and savior?": https://cuelang.org/

- Not turing complete

CUE: The core problem CUE solves is "type checking", which is mainly used in configuration constraint verification scenarios and simple cloud native configuration scenarios.

If you really want executable configurations please consider a newer language like https://dascript.org or https://cuelang.org which provide better type safety.

1- https://news.ycombinator.com/item?id=38030778

Markdown and XML are nice, but what about more advanced documentation formats like OpenAPI? For one recent project, I set up automatic generation of the OpenAPI docs from (much more compact and flexible) CUE definitions (https://cuelang.org/) - which has the bonus of also being able to test the API against the definitions. JetBrains has a CUE plugin, but it's really barebones (doesn't even support jumping from the usage of a schema to its definition). Of course the possibilities when generating docs are endless (just think of the various syntaxes for doc comments, embedding examples/tests in source code etc.)...

It doesn't include validators for TOML and INI, but if you're doing JSON and YAML, I would take a look at using or building upon CUE (https://cuelang.org/). It is a different take on schema definition (plus more), and is surprising terse and powerful model.