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Serverless Ephemeral (or Serephem) is a Serverless Framework plugin that helps bundle any stateless library into a Lambda deployment artifact.
TensorFlow Lambda (CPU only, Python 2.7): Pulls in or builds (via Docker) a TensorFlow package. For reference on how to manually build a TensorFlow package for Lambdas, see docs/build-tensorflow-package.md.
npm i --save-dev serverless-ephemeral
Add it to your
serverless.yml file and exclude the
plugins: - serverless-ephemeral package: exclude: - package.json - package-lock.json - node_modules/** - .ephemeral/**
.ephemeral directory to
# Serverless Framework .serverless .ephemeral
The configuration for the Ephemeral plugin is set inside the
custom section of the
serverless.yml file. In it, you can define the list of stateless libraries you wish to pull into the final Lambda artifact.
There are two types of configuration:
Both can be enhanced with global configuration options.
You can build a specific library during runtime. This is achieved via a Docker container that outputs a zip library.
The Serepehm plugin provides some useful packagers out of the box. However, you can create your own packager via Docker files.
You can use one of the Docker packagers provided with the Serephem plugin.
custom: ephemeral: libraries: - packager: name: tensorflow version: 1.8.0
You can create your own packager via Docker. To do so:
Create a directory where you will store all your Docker files:
mkdir my-packager cd my-packager
docker-compose.yml file. For example:
version: '3' services: packager: build: .
Keep note of the name of your packager service, in this case
Dockerfile and any other support files. For example:
FROM amazonlinux COPY scripts/build.sh scripts/build.sh RUN yum -y install zip && \ chmod +x scripts/build.sh CMD [ "scripts/build.sh" ]
# create zip destination directory mkdir -p /tmp/lambda-libraries # download library files mkdir /tmp/files cd /tmp/files curl http://example.com/file-1.py --output file-1.py curl http://example.com/file-2.py --output file-2.py zip -9rq /tmp/lambda-libraries/library-a.zip *
IMPORTANT: the container must generate a zip file containing the stateless library files. Thus:
Your container must zip the stateless library files.
You must create a directory where the final zip(s) will be stored. This directory will be mounted to the Serephem’s libraries directory, so add only the necessary zip files.
It is recommended that your Docker container extends from
amazonlinux image to maximize compatibility with the Lambda environment.
Add this configuration to your
custom: ephemeral: libraries: - packager: compose: my-packager/docker-compose.yml service: packager output: /tmp/lambda-libraries/library-a.zip
Notice how each of the values correspond to a setting previously created:
compose: points to your Docker compose file, inside the directory you created
service: the name of the service inside the
output: the output path for the zip file in the Docker container
You can download a previously zipped library that contains all the necessary files and automatically add it to your Lambda deployment.
custom: ephemeral: libraries: - url: https://xxxxx.s3.amazonaws.com/my-library.zip
Documentation explaining how to create a deployable TensorFlow zipped package can be found here: docs/build-tensorflow-package.md. This approach can be used as a base to create other stateless libraries.
custom: ephemeral: libraries: - packager: name: tensorflow version: 1.8.0 directory: tfpackage - url: https://xxxxx.s3.amazonaws.com/my-library.zip nocache: true
directory is optional. When ommitted, the package contents will be unzipped at service root level. If entered, a new folder will be created at that level using the specified name and everything will be unzipped there. The folder can only be named using alphanumeric characters and the symbols
. _ -
nocache is optional. When ommitted or set to false, it will use the locally cached copy of the library. Otherwise, if set to true, it will re-fetch (download or build) the library every time the service is packaged.
Note: the forceDownload option has been deprecated in favor of nocache
Deploy your service normally with the
serverless deploy (or
sls deploy) command. If you use the
-v option, Ephemeral will show more information about the process.
sls deploy -v
If the Serverless deployment is timing out, use the
AWS_CLIENT_TIMEOUTenvironment variable: https://github.com/serverless/serverless/issues/490#issuecomment-204976134
During the deployment process, the
.ephemeral directory will be created. The purpose of this directory is:
This plugin is created with Node and uses the Serverless Framework hooks to execute the necessary actions.
The plugin code uses the AirBnB ESLint rule set with some enhancements (see
.eslintrc file). To run the linter:
npm run lint
The unit tests are coded with Ava and SinonJS. They can be found inside the
To run the tests:
To run tests on “watch” mode and add verbosity:
npm test -- --watch -v
Refer to the
examples directory, for instance the