1,399 karma · joined March 27, 2021
And no glossary needed, KISS
https://github.com/johnma2006/mamba-minimal/blob/82efa90919c...
Yes, you came up with a nice syntax for your Haskell scripts, but what it cost to install all required dependencies on, for example, newly created Ubuntu server?
It gives me so much Perl one-liners vibe, when `perl` command combined with `-p` and `-e` flags allows you to write super concise programs for bash pipelines.
Some examples https://learnbyexample.github.io/learn_perl_oneliners/one-li...
I waited about half a minute for percent counter reach 100%, then it just keep loading with the counter beyond one hundred lol
So “progressive”
Atop shows that MySQL eats 20GB for no reason. All mysql server metrics was okey.
This problem was really painful to debug, since we thought “how docker can even affect how mysqld use memory, it might be something else”
Related: https://bugs.mysql.com/bug.php?id=96525
https://github.com/docker-library/mysql/issues/579
https://www.mail-archive.com/ubuntu-bugs@lists.ubuntu.com/ms...
https://github.com/moby/moby/issues/44547#issuecomment-13340...
Is there similar guidelines for other languages like Java or Python?
Toggle “ask for desktop version” doesn’t make any difference
I just watched the presentation from post url and I really liked the tool Roy talked about at 19:00-22:40.
Also he answered a question (34:07-35:23) about which algorithm they use to actually tune thresholds by saying that he was sure it would be open-sourced at some point.
So I searched through the entire list of public repositories on https://github.com/Netflix?sort=stargazers and didn't find anything relatively similar to what Roy described.
Does anyone know: 1. What is the name of the metrics tuning system? 2. Is it open-source? 3. Is it actively supported or is it deprecated?
Thanks.
Do you have any plans about this feature?
> Steve Wozniak is not boring
One I familiar with is to match datetime interval, when you need to narrow down log rows for a particular time range.
So I built a tool just for it :) https://github.com/ekiauhce/interval-to-regexp
At my current employer we have a company-wide service for aggregating error logs in particular (WARN, ERORR level log rows and stacktraces, if it was an exception) so developers can analyze them for debugging purposes. Also it automatically gathers information about incoming http request (geo, ip address, user agent, etc) and you can easily see a particular segment of errors, and what kind of users getting them.
As I can see you have logs quantitative metric https://community-demo.coroot.com/p/oc1vhnmq/app/default:Dep... but without any detalization (maybe it works this way only for the demo app). I mean, it would be great to be able to inspect each ERROR event separately or to define custom SLO with alert for particular type of errors.
Another great feature we use a lot is historical data, so you can find patterns of error spikes on months scale and when it has gone after fix.
FYI this error-service I'm talking about is built on top of the ClickHouse, so it's quite responsive regardless of the large volumes of data.
Another thing I want to mention is cron-like workload (or batch jobs, you name it). Is there any support or useful metrics for it?
I was quite impressed about this feature. It could reduce nice amount of boilerplate in docker-compose.yaml files or application.yaml Spring configs.
When you don't have a clue how, for example, hero section should be designed, just go to the Dribble and scroll through examples people with experience make. Then your brain will recognize patterns for spacing, font choices and other things every good hero has.
If you struggling with particular UI component, you can address css/components libraries like Bulma or Vuetify.
For me the hardest part is static assets (background pictures and illustrations), because you can't make them from scratch without basic __drawing__ skills. Here is some links from my bookmarks, maybe it would helpful:
This tool has great documentation, see https://nmap.org/book/intro.html for more details
There is similar concept for json https://goessner.net/articles/JsonPath/
We heavily using it for validation error messages. Like
{
"error": "wrong value",
"path": "foo/bar[1]/prop"
} ~ % cal
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