aws-simple-iconification-service
awslogs
| aws-simple-iconification-service | awslogs | |
|---|---|---|
| 1 | 8 | |
| 16 | 4,750 | |
| - | - | |
| 0.0 | 0.0 | |
| 4 months ago | about 1 month ago | |
| JavaScript | Python | |
| BSD 3-clause "New" or "Revised" License | GNU General Public License v3.0 or later |
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aws-simple-iconification-service
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DevOps tools you should have on your belt
🎨 Simple Iconification Service is an extension to Chrome and Firefox that will go ahead and attempt to match the service icon to the service and then display that instead of the Orange Cube.
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.
What are some alternatives?
saml2aws - CLI tool which enables you to login and retrieve AWS temporary credentials using a SAML IDP
Loguru - Python logging made (stupidly) simple
aws-extend-switch-roles - Extend your AWS IAM switching roles by Chrome extension, Firefox add-on, or Edge add-on
cw - The best way to tail AWS CloudWatch Logs from your terminal
rain - A development workflow tool for working with AWS CloudFormation.
GoAccess - GoAccess is a real-time web log analyzer and interactive viewer that runs in a terminal in *nix systems or through your browser.
terraforming - Export existing AWS resources to Terraform style (tf, tfstate) / No longer actively maintained
serverless-offline - Emulate AWS λ and API Gateway locally when developing your Serverless project
terraform-aws-icons - Annotate Terraform graphs with AWS icons.
aws-codebuild-docker-images - Official AWS CodeBuild repository for managed Docker images http://docs.aws.amazon.com/codebuild/latest/userguide/build-env-ref.html
awsume - A utility for easily assuming AWS IAM roles from the command line.
faasd - A lightweight & portable faas engine