awslogs
Loguru
awslogs | Loguru | |
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8 | 31 | |
4,750 | 18,124 | |
- | - | |
0.0 | 8.6 | |
about 1 month ago | 3 days ago | |
Python | Python | |
GNU General Public License v3.0 or later | MIT License |
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awslogs
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Logging in Python Like a Pro
Using the official CLI (aws logs get-log-events) or https://github.com/jorgebastida/awslogs is pretty close to SSH-ing and grepping.
- Tail log groups with CW Logs Insights?
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I use cw, which is OSS to tail AWS CloudWatch Logs
cw is a native executable targeting your OS, and not needed external dependencies such as pip and npm. Compared to awslogs which is famous helpful tool for CloudWatch Logs1, cw is written in golang and faster.
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What are you using to analyze/visualize CloudFront logs?
Its a command line tool but some people I know also use awslogs
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Ask HN: Does anyone else find the AWS Lambda developer experience poor?
Not a full solution, but when I was doing this I really got to love the awslogs utility:
https://github.com/jorgebastida/awslogs
It allows you to stream Cloudwatch logs from the command line, so you can grep them, save them to files, etc... (The web based Cloudwatch interface is terrible.)
Another suggestion is to try to modularize the core business logic in your lambda such that you separate the lambda-centric stuff from the rest of it. Obviously, though, if "the rest of it" is hitting other AWS services, you're going to hit the same testing roadblock.
Or you can try mocking, which may or may not provide much value for you. There's a python library for that, (moto), but it's not 100% up to date wrt AWS services/interfaces, last I had checked. Might be worth a try though.
https://github.com/spulec/moto
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Datadog alternatives
Cloudwatch Logs is pretty meh visually, but awslogs can give you a pretty good `tail -f`-like experience, and Insights is pretty good. Cloudwatch Metric Filters give you a 'StatsD'-like experience, in that you can log out a certain message or code and then use its appearance as a metric.
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Cloud watch logs from console always show tail. How to show head without having to click ‘show more’ over and over again?
Check out https://github.com/jorgebastida/awslogs , you can define a `--start`, and it also has a `--watch`, and can be piped the `grep` or whatever you want. It's a pretty flexible tool.
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DevOps tools you should have on your belt
📖 awslogs - a simple command-line tool for querying groups, streams, and events from Amazon CloudWatch logs.
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?
cw - The best way to tail AWS CloudWatch Logs from your terminal
structlog - Simple, powerful, and fast logging for Python.
GoAccess - GoAccess is a real-time web log analyzer and interactive viewer that runs in a terminal in *nix systems or through your browser.
Sentry - Developer-first error tracking and performance monitoring
serverless-offline - Emulate AWS λ and API Gateway locally when developing your Serverless project
logzero - Robust and effective logging for Python 2 and 3.
aws-codebuild-docker-images - Official AWS CodeBuild repository for managed Docker images http://docs.aws.amazon.com/codebuild/latest/userguide/build-env-ref.html
logbook - A cool logging replacement for Python.
faasd - A lightweight & portable faas engine
Eliot - Eliot: the logging system that tells you *why* it happened
aws-lambda-runtime-interface-emulator
icecream - 🍦 Never use print() to debug again.