aws-local
awslogs
aws-local | awslogs | |
---|---|---|
1 | 8 | |
3 | 4,755 | |
- | - | |
0.0 | 0.0 | |
over 2 years ago | about 1 month ago | |
Shell | Python | |
- | GNU General Public License v3.0 or later |
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aws-local
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Ask HN: Does anyone else find the AWS Lambda developer experience poor?
https://github.com/mozey/aws-local
Dev is easy because I can test everything locally, and the resulting code should be portable to any other cloud.
Obviously this approach might not be feasible if you choose to use AWS that do not have equivalent self-hosted options.
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?
docker-lambda - Docker images and test runners that replicate the live AWS Lambda environment
Loguru - Python logging made (stupidly) simple
serverless-graphql - Serverless GraphQL Examples for AWS AppSync and Apollo
cw - The best way to tail AWS CloudWatch Logs from your terminal
sst - Build modern full-stack applications on AWS
GoAccess - GoAccess is a real-time web log analyzer and interactive viewer that runs in a terminal in *nix systems or through your browser.
serverless-application-model - The AWS Serverless Application Model (AWS SAM) transform is a AWS CloudFormation macro that transforms SAM templates into CloudFormation templates.
serverless-offline - Emulate AWS λ and API Gateway locally when developing your Serverless project
aws-lambda-runtime-interface-emulator
aws-codebuild-docker-images - Official AWS CodeBuild repository for managed Docker images http://docs.aws.amazon.com/codebuild/latest/userguide/build-env-ref.html
faasd - A lightweight & portable faas engine