serverless-patterns
awslogs
serverless-patterns | awslogs | |
---|---|---|
32 | 8 | |
1,463 | 4,755 | |
2.3% | - | |
9.9 | 0.0 | |
2 days ago | about 1 month ago | |
Python | Python | |
GNU General Public License v3.0 or later | GNU General Public License v3.0 or later |
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.
serverless-patterns
-
Generative (A)IaC in the IDE with Application Composer
You may be aware of Serverlessland, a treasure trove of developer-centered content and examples of serverless applications. I decided to take one of their more popular (and AI-focused) tutorials, titled “Use GenAI capabilities to build a chatbot”, and recreate it with App Composer and our trusty AI assistant. Here we go!
- AWS Lambda: Serverless Computing Made Easy
-
Simple AWS: 20 Advanced Tips for Lambda
Serverless Land is a place with a ton of serverless resources.
-
A Beginner's Guide to the Serverless Application Model (SAM)
If you're looking for examples, you can check out my GitHub, it's full of SAM templates that cover a wide range of use cases. Serverless Land is another fantastic resource full of reference material. If you are trying to build something but can't quite figure it out in SAM, remember - it's all just CloudFormation. Browse the docs to see how to define that stubborn resource.
-
Introducing samp-cli for local lambda debugging
I will use dynamodb-streams-to-eventbridge-outbox-pattern by David Boyne as an example.
- Aws lambda
-
SQS -> SNS pattern??
This is definitely not the most common pattern. As an independent data point, you can look at the AWS-maintained serverlessland.com, where ALL the patterns that include SNS and SQS are going SNS > SQS.
-
What are your study methods for AWS certs?
For all my associated exams I used Mareek/TD, labs and for SAP also went through SAP course of A. Cantrill, also tools like https://serverlessland.com/ and aws event talks on YouTube can help you understand concepts.
-
AWS Resources for noob
For serverless, serverlessland.com
-
What are some senior level learning resources you recommend for improving as a backend engineer?
If you’re using AWS serverlessland is maintained by AWS and has great resources
awslogs
-
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?
-
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.
-
What are you using to analyze/visualize CloudFront logs?
Its a command line tool but some people I know also use awslogs
-
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
-
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.
-
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.
-
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?
sst - Build modern full-stack applications on AWS
Loguru - Python logging made (stupidly) simple
serverless-offline - Emulate AWS λ and API Gateway locally when developing your Serverless project
cw - The best way to tail AWS CloudWatch Logs from your terminal
up - Deploy infinitely scalable serverless apps, apis, and sites in seconds to 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.
aws-lambda-runtime-interface-emulator
serverless-graphql - Serverless GraphQL Examples for AWS AppSync and Apollo
aws-codebuild-docker-images - Official AWS CodeBuild repository for managed Docker images http://docs.aws.amazon.com/codebuild/latest/userguide/build-env-ref.html
serverless-application-model - The AWS Serverless Application Model (AWS SAM) transform is a AWS CloudFormation macro that transforms SAM templates into CloudFormation templates.
faasd - A lightweight & portable faas engine