Crazy insane, I love it !
Guys, you should do it with a cockroach ^^ https://makeagif.com/gif/fifth-element-remote-controlled-coc...
44 karma · joined November 1, 2021
Guys, you should do it with a cockroach ^^ https://makeagif.com/gif/fifth-element-remote-controlled-coc...
I created an google account, use it on my android smartphone and buy some app, many years ago.
It's 2026 and Google still doesn't allow email change.
But when it comes to for private photo, video, financial documents or payslips : how does it work ?
very annoyoing, the subject looks good, open tab and rohhhhhhhh... paid or register.
best post of the week ^^
I like the use of vulgar language, it hits way harder than all the blah-blah bullshit
I've been convinced by the power of "Fuck you" :)
How do you switch from open source (1) to full time paid job (2) ? I'm curious cause I'm still stuck in (1)
Thank for your feedback
maybe the first time i read a crystal clear difference between metrics, logs and traces.
nice post.
each week there are (in C, in Rust, in JS...)
What are their hardware support ?
at best they can run in a virtual machine
End of debate.
This is a very good example, nice work !
some say they have to define a huge limit and that's it.
Limits are sometime hard to define :
- they must be such huge, a user (human) finaly understand it's unlimited else he will compare to competitors
- but no such huge because the 0.1% of users will try to reach it
A fair word could be the one which categorize the type of use :
- human : human has physical limit (e.g: typing word to keyboard / per time).
- bot : from 1 arduino to heavyweight hardcore clusting, virtualy no limits.
think of why someone could pay for something you offer free :
- have some control over you : integrate feature, prioritize you backlog, influence the roadmap...
- have confidence that the project will be maintained and won’t be abandoned
- direct support from the maintainer
- visibility/marketing
- ...
That's old school P2P since 25 year. this is not new and not future...
- daily backup locale + remote (blackbaze with 60 readonly retention strategy, separated bucket by service)
- monthly offline backup
- a preprod server where my users can restore entiere environment for testing purpose (CI)
in case of full house fire, i can be back online in an working day.
PS: i have only some TBs of data so quite easy to do.
première fois que je vois qqch de cool sortir d'orange.
That's a very nice example of Theory VS Practice !
I agree, in Theory, PK should be identified by the natural unique key identifier of the domain. Your example with national_id is proper.
In practice :
- due to their varying underlying type, manipulating natural key identifier throught an application (passing values) is not always easy. UUID or INT are reliable and always works.
- sometimes, we want a "poor" anonymization when passing and calculting data. As the PK is the identifier of the tuple, having a personal data for PK can be problematic.
- last but not least : using PK that is subject to change is a terrible idea. An address mail, for example, anybody can be subject to change. When it's the PK, you are fuck to do or propagate the change.
And in this age of gods war, Practice always win.
It's opensource, there is a full feature docker-compose to host on your own. Or you can use their hosting service, highly available and with good prices.
30$/monthly for our 380Go + 30k timeseries. Perfect.
I'm waiting for more real world production examples and not just the todo-list hello world.
I like the simpler/cleaner approach of Nue. Now one of the big difference will be the component and theming provided.
I'm a long term vue/vuetify user and i can build powerful and sexy web app in a small amount of time and effort.
I will definetely compare this point.
That's said, you've done an incredible work with your Nue project. i keep a eye on it.
With vuejs, the template code is very identical to your hyper version.
React is full bullshit mixing (JSX) code.
So what's about comparing to a cleaner code and separation like the vuejs.
The underlying database is clickhouse, quite all charts/tables are shown incredibly fast whereas 180Go are traces/logs/metrics in a 6 weeks rolling
I like the UI and how you can create or copy, everything is yaml based.
Contrary to grafana, the user experience is simple and it also proposes templates for most used metrics (host, service...)
It's one of the few to handle the three pillars (trace, log, metric) in the same product.
Monitor and alert are well design and easy to set up.
Try it and adopt it.
I am absolutely not related to uptrace, but their product solve a great issue for me.
It's my secondary daily critical tool, just after onedev (onedev.io) for dev.
a very satisfied user : trace, metrics, log in a perfect way