Giter Club home page Giter Club logo

hello-lambda's Introduction

hello-lambda

Minimal project to get up and running on AWS lambda with Python 3.6 and pipenv.

Quickstart

The main commands are wrapped using a very simple Makefile. I believe it doesn't work on Windows but I don't have a window machine to care enough. If you feel like adding that, feel free to send me a pull request.

Install

The first time only:

  • make install: Create a virtual environment and install dependencies using pipenv

Test locally

  • make run: call the lambda handler using pipenv run

Build

  • make build: Collect dependencies and entry point script into a deployment package By default, it'll be a deliverable.zip in the root of the project.

    The target is customisable and may be provided on the command line:

    make build OUT_FILE=outfile.zip
    

Upload and Deploy

  • Go to your AWS account, in the "Lambda" section
  • Click "Create a function" > "Author from scratch" > Configure triggers page: Click "Next"
  • Give a name & description, choose Python 3.6 runtime
  • Select "Upload a ZIP file" and choose the delivrable in the file picker
  • Set the Handler to hello_lambda.lambda_handler (or more generally <script_name>.<function_name>)
  • Select/create an AWS Role, click "Next"
  • Review all the details and confirm creation
  • Run it!

Next steps

  • Add any third party package you might need using pipenv install ...
  • To deploy, run the build script and re-upload the ZIP file
  • Settings can be added as environment variables in AWS
  • Triggers can be configured to run your function: API gateway, Alexa, Cloudwatch, SNS, ...

hello-lambda's People

Contributors

browniebroke avatar

Watchers

 avatar

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    ๐Ÿ–– Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. ๐Ÿ“Š๐Ÿ“ˆ๐ŸŽ‰

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google โค๏ธ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.