debug-toolkit
Loguru
debug-toolkit | Loguru | |
---|---|---|
24 | 31 | |
56 | 18,124 | |
- | - | |
2.8 | 8.6 | |
about 2 months ago | 5 days ago | |
Python | Python | |
MIT License | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
debug-toolkit
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Ask HN: Companies of one, what is your tech stack?
We're very much not a company of one anymore, but I used Unicorn Platform for our startups website (http://robusta.dev)
It's optimized for building a decent looking startup website in half an hour.
We now have an in house designer and frontend team so the whole thing will be replaced soon... But it got us fairly far.
- Ask HN: What podcasts are you listening to?
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GitHub: Private Profiles
I use it all the time when hiring!
We're open source (https://robusta.dev) and very involved in the kubernetes ecosystem so GitHub history is extremely relevant when we look at candidates.
We'll hire people with no GitHub activity too, but when it's available it's great
- Come home to it like this?? Hard reset doesnt do anything.
- KOPF for operators in python?
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"kubectl get sleep" t-shirts (free k8s give-away)
Github: https://github.com/robusta-dev/robusta Marketing site: http://robusta.dev/ Docs: https://docs.robusta.dev/master/
- GitHub - robusta-dev/debug-toolkit: A modern code-injection framework for Python. Like Pyrasite but Kubernetes-aware.
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Hikaru 0.9.0b released
We're using Hikaru extensively in Robusta. The best part (well, other then the ease of use) is that Tom is super responsive to issues on GitHub and always happy to help.
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My self-hosting infrastructure, fully automated
To everyone saying that Kubernetes is unnecessary, try implementing autoscaling, service discovery, secrets management, and autohealing in a vendor independent way without it.
Of course none of that is necessary for a self hosted home lab, but neither is gitops.
This is a very nice example of how to set stuff up properly.
OP, I would love to see Robusta (https://robusta.dev) as part of this too. It's definitely in line with your vision of automating everything, as it let's you automate the response to alerts and other events in your cluster. (Disclaimer: I'm one of the maintainers)
- Run script in the pod like a cron job.
Loguru
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Loguru VS polog - a user suggested alternative
2 projects | 9 Dec 2023
- a few comments and questions about loguru - the most popular 3rd party logging module for Python
- What libraries do you use the most alongside django?
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Linus is being reasonable and wise and well-mannered once again. Wouldn't mind reading a few juicy expletives, to be honest.
Because you get to see the simultaneous mix of arguments about objective verifiable facts and arguments about yelling at each other. Plus I don't understand how to cook but I do understand Delgan/loguru#563.
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library to log methods and function calls.
How can we integrate with current logging libraries such as logging, logges, loguru? And how would you compare your library with ic
- Is adding logging to a library good design?
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Where can I apply logging specifically with loguru?
I found loguru online and was thinking if it's relevant for my code. As far as I understand it would be preferable as opposed to me printing my exceptions with print.
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Logging in Python Like a Pro
You should try the loguru library. I was able to roll a rolling-upload-to-s3 adapter in under an hour. Switching to json logs is one bool flag away. Plus it's gorgeous
https://github.com/Delgan/loguru
Also iirc s3's "file-like interface" does not actually obey the file protocol, which is obnoxious.
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NameError: name 'logger' is not defined
If you have a choice, save yourself some heartache and install loguru
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The Boilerplate for Logging in Python
This? First time to hear about it. Thanks!
What are some alternatives?
robusta - Kubernetes observability and automation, with an awesome Prometheus integration
structlog - Simple, powerful, and fast logging for Python.
batgrl - badass terminal graphics library
Sentry - Developer-first error tracking and performance monitoring
opentelemetry-python-contrib - OpenTelemetry instrumentation for Python modules
logzero - Robust and effective logging for Python 2 and 3.
hyperpaper-planner - Dayplanner pdf for large e-readers (eg Remarkable 2, Supernote, Boox)
logbook - A cool logging replacement for Python.
PyFlow - Visual scripting framework for python - https://wonderworks-software.github.io/PyFlow
Eliot - Eliot: the logging system that tells you *why* it happened
profile
icecream - 🍦 Never use print() to debug again.