github-s3-deploy | AWS Lambda function , triggered by Github/SNS webhook | Cloud Storage library
kandi X-RAY | github-s3-deploy Summary
kandi X-RAY | github-s3-deploy Summary
For new repositories, you should first set up the webooks, SNS queues, etc. before pushing any code. This will take your first commit and move all code into place. For existing repositories / s3 buckets, make sure your repo and your bucket are in sync before continuing.
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QUESTION
I am working on a AWS S3 & lambda project and would like to keep my Nodejs lambda functions together with bucket policy, iam policy etc in a Github repository.
Shall I keep a src
folder and then have perhaps a lambdas
subfolder to store all functions (I might have more than one) or since I am considering to use NodeJs, can I simply have a structure like this:
https://github.com/nytlabs/github-s3-deploy
In which my README.md file contains info about my lambda IAM role for execution together with bucket policy etc? I am still inclined to have configs in a resource folder, though. Are there any best practices to do so? Is my structure anyway going to be informed by the programming language I will be using for my lambda? What happens if you have a mix of languages in which you code your functions?
Thank you
...ANSWER
Answered 2019-Aug-20 at 08:37If you are worry about exposing sensitive data, you may consider to keep all data in Lambda Environment variable. So in your nodejs project you can easily read vale using process.env.A
You can read more on this URL https://docs.aws.amazon.com/lambda/latest/dg/env_variables.html
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