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@getjerry/aws-lambda
Advanced tools
Deploy Lambda functions to AWS in seconds with [Serverless Components](https://github.com/serverless/components). Utilizes layers for dependency management and S3 accelerated uploads for maximum upload speeds.
Deploy Lambda functions to AWS in seconds with Serverless Components. Utilizes layers for dependency management and S3 accelerated uploads for maximum upload speeds.
$ npm install -g serverless
$ mkdir my-function && cd my-function
the directory should look something like this:
|- code
|- handler.js
|- package.json # optional
|- serverless.yml
|- .env # your AWS api keys
# .env
AWS_ACCESS_KEY_ID=XXX
AWS_SECRET_ACCESS_KEY=XXX
// handler.js
module.exports.hello = async (event, context, cb) => {
return { hello: "world" };
};
# serverless.yml
myFunction:
component: "@serverless/aws-lambda"
inputs:
name: my-function
description: My Serverless Function
memory: 128
timeout: 20
code: ./code
handler: handler.hello
runtime: nodejs8.10
env:
TABLE_NAME: my-table
region: us-east-1
# if you'd like to include any shims
shims:
- ../shims/shim.js
# specifying an existing deployment bucket would optimise deployment speed
# by using accelerated multipart uploads and dependency management with layers
bucket: my-deployment-bucket
$ serverless
For a real world example of how this component could be used, take a look at how the socket component is using it.
This package was originally implemented by the serverless framework team. I decided to fork it and bring it into this monorepo because it wasn't being maintained anymore
FAQs
Deploy Lambda functions to AWS in seconds with [Serverless Components](https://github.com/serverless/components). Utilizes layers for dependency management and S3 accelerated uploads for maximum upload speeds.
The npm package @getjerry/aws-lambda receives a total of 8 weekly downloads. As such, @getjerry/aws-lambda popularity was classified as not popular.
We found that @getjerry/aws-lambda demonstrated a not healthy version release cadence and project activity because the last version was released a year ago. It has 6 open source maintainers collaborating on the project.
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