Keeping time series in Mongo…

Yeah, most people here probably have an overstimulated mind and just doing the opposite for a minute or so can be very tough at first!

1. At it's core, it's a Proof-of-Work captcha, so compute load depends on the usage pattern. AI (LLMs) does get better at image/audio recognition, but compute task is the same anywhere, does not matter who "clicks" the checkbox.

2. Bots usually have such access patterns that cause compute task difficulty to become prohibitively high, requiring exponentially more CPU resources. This renders bots economically nonviable for submitting forms or scraping website.

I've heard doing nothing can cause a significant physical discomfort to the impatient mind.

My experience with abandoning Serverless framework, which I will remember with gratitude, despite it's utter enshittification.

I made a cross platform desktop app for people who upload their photos and videos to microstock agencies called Xpiks (https://xpiksapp.com). Initially I was selling one-off forever licenses but last year started moving them to subscription. So far progress is steady and I keep working on it. The app is made in C++/Qt and I’m looking for people who might be interested to join.

For me using my lambda is definitely better than having a dependency on yet another external service (like the logz.io advertisement in your comment).

Oh I get that for sure. My real recommendation was for the elk-stack in general. One can self-host it pretty easily depending skillsets. The service I recommended just makes it about as easy as your email aggregator.

The email aggregator is great but if you need an actual way to search through your logs, maybe after the email aggregator alerts you that "some requests failed" doing it in cloudwatch is not so fun.

Inspired by Julia Evan's write-up on web-services, I wanted to show how I automated log monitoring in AWS

Especially in Microsoft, such old historical projects are a huge huge mess. For Microsoft, never join Windows (anything, not just kernel), Power BI, Office (desktop one). Even many parts of Azure that I witnessed when working there, were already a huge and messy legacy. Colleagues, code and development workflow would be your worst nightmare there.

This is a very good app. Weekly-based todo list is something that I replicated myself in Joplin for ages. Now it's a lot better and with automations! Thanks for keeping it up!