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docker-lambda

A sandboxed local environment that replicates the live AWS Lambda environment almost identically – including installed software and libraries, file structure and permissions, environment variables, context objects and behaviors – even the user and running process are the same.

Example usage with Python3.9-x86_64 runtime

This is a partially rewritten and maintained fork of the original LambCI project, updated to include latest AWS Lambda runtimes and arm64 support. However, this fork dropped support for old, Amazon Linux 1-based runtimes.

The images are hosted on:

You can use it for running your functions in the same strict Lambda environment, knowing that they'll exhibit the same behavior when deployed live. You can also use it to compile native dependencies knowing that you're linking to the same library versions that exist on AWS Lambda and then deploy using the AWS CLI.


Contents


Docker tags

nodejs12.x

Runtime images

Platform Docker Hub GitHub Container Registry
Universal mlupin/docker-lambda:nodejs12.x ghcr.io/mlupine/docker-lambda:nodejs12.x
x86_64 mlupin/docker-lambda:nodejs12.x-x86_64 ghcr.io/mlupine/docker-lambda:nodejs12.x-x86_64
arm64 mlupin/docker-lambda:nodejs12.x-arm64 ghcr.io/mlupine/docker-lambda:nodejs12.x-arm64

Build images

Platform Docker Hub GitHub Container Registry
Universal mlupin/docker-lambda:nodejs12.x-build ghcr.io/mlupine/docker-lambda:nodejs12.x-build
x86_64 mlupin/docker-lambda:nodejs12.x-build-x86_64 ghcr.io/mlupine/docker-lambda:nodejs12.x-build-x86_64
arm64 mlupin/docker-lambda:nodejs12.x-build-arm64 ghcr.io/mlupine/docker-lambda:nodejs12.x-build-arm64

nodejs14.x

Runtime images

Platform Docker Hub GitHub Container Registry
Universal mlupin/docker-lambda:nodejs14.x ghcr.io/mlupine/docker-lambda:nodejs14.x
x86_64 mlupin/docker-lambda:nodejs14.x-x86_64 ghcr.io/mlupine/docker-lambda:nodejs14.x-x86_64
arm64 mlupin/docker-lambda:nodejs14.x-arm64 ghcr.io/mlupine/docker-lambda:nodejs14.x-arm64

Build images

Platform Docker Hub GitHub Container Registry
Universal mlupin/docker-lambda:nodejs14.x-build ghcr.io/mlupine/docker-lambda:nodejs14.x-build
x86_64 mlupin/docker-lambda:nodejs14.x-build-x86_64 ghcr.io/mlupine/docker-lambda:nodejs14.x-build-x86_64
arm64 mlupin/docker-lambda:nodejs14.x-build-arm64 ghcr.io/mlupine/docker-lambda:nodejs14.x-build-arm64

nodejs16.x

Runtime images

Platform Docker Hub GitHub Container Registry
Universal mlupin/docker-lambda:nodejs16.x ghcr.io/mlupine/docker-lambda:nodejs16.x
x86_64 mlupin/docker-lambda:nodejs16.x-x86_64 ghcr.io/mlupine/docker-lambda:nodejs16.x-x86_64
arm64 mlupin/docker-lambda:nodejs16.x-arm64 ghcr.io/mlupine/docker-lambda:nodejs16.x-arm64

Build images

Platform Docker Hub GitHub Container Registry
Universal mlupin/docker-lambda:nodejs16.x-build ghcr.io/mlupine/docker-lambda:nodejs16.x-build
x86_64 mlupin/docker-lambda:nodejs16.x-build-x86_64 ghcr.io/mlupine/docker-lambda:nodejs16.x-build-x86_64
arm64 mlupin/docker-lambda:nodejs16.x-build-arm64 ghcr.io/mlupine/docker-lambda:nodejs16.x-build-arm64

nodejs18.x

Runtime images

Platform Docker Hub GitHub Container Registry
Universal mlupin/docker-lambda:nodejs18.x ghcr.io/mlupine/docker-lambda:nodejs18.x
x86_64 mlupin/docker-lambda:nodejs18.x-x86_64 ghcr.io/mlupine/docker-lambda:nodejs18.x-x86_64
arm64 mlupin/docker-lambda:nodejs18.x-arm64 ghcr.io/mlupine/docker-lambda:nodejs18.x-arm64

Build images

Platform Docker Hub GitHub Container Registry
Universal mlupin/docker-lambda:nodejs18.x-build ghcr.io/mlupine/docker-lambda:nodejs18.x-build
x86_64 mlupin/docker-lambda:nodejs18.x-build-x86_64 ghcr.io/mlupine/docker-lambda:nodejs18.x-build-x86_64
arm64 mlupin/docker-lambda:nodejs18.x-build-arm64 ghcr.io/mlupine/docker-lambda:nodejs18.x-build-arm64

python3.8

Runtime images

Platform Docker Hub GitHub Container Registry
Universal mlupin/docker-lambda:python3.8 ghcr.io/mlupine/docker-lambda:python3.8
x86_64 mlupin/docker-lambda:python3.8-x86_64 ghcr.io/mlupine/docker-lambda:python3.8-x86_64
arm64 mlupin/docker-lambda:python3.8-arm64 ghcr.io/mlupine/docker-lambda:python3.8-arm64

Build images

Platform Docker Hub GitHub Container Registry
Universal mlupin/docker-lambda:python3.8-build ghcr.io/mlupine/docker-lambda:python3.8-build
x86_64 mlupin/docker-lambda:python3.8-build-x86_64 ghcr.io/mlupine/docker-lambda:python3.8-build-x86_64
arm64 mlupin/docker-lambda:python3.8-build-arm64 ghcr.io/mlupine/docker-lambda:python3.8-build-arm64

python3.9

Runtime images

Platform Docker Hub GitHub Container Registry
Universal mlupin/docker-lambda:python3.9 ghcr.io/mlupine/docker-lambda:python3.9
x86_64 mlupin/docker-lambda:python3.9-x86_64 ghcr.io/mlupine/docker-lambda:python3.9-x86_64
arm64 mlupin/docker-lambda:python3.9-arm64 ghcr.io/mlupine/docker-lambda:python3.9-arm64

Build images

Platform Docker Hub GitHub Container Registry
Universal mlupin/docker-lambda:python3.9-build ghcr.io/mlupine/docker-lambda:python3.9-build
x86_64 mlupin/docker-lambda:python3.9-build-x86_64 ghcr.io/mlupine/docker-lambda:python3.9-build-x86_64
arm64 mlupin/docker-lambda:python3.9-build-arm64 ghcr.io/mlupine/docker-lambda:python3.9-build-arm64

ruby2.7

Runtime images

Platform Docker Hub GitHub Container Registry
Universal mlupin/docker-lambda:ruby2.7 ghcr.io/mlupine/docker-lambda:ruby2.7
x86_64 mlupin/docker-lambda:ruby2.7-x86_64 ghcr.io/mlupine/docker-lambda:ruby2.7-x86_64
arm64 mlupin/docker-lambda:ruby2.7-arm64 ghcr.io/mlupine/docker-lambda:ruby2.7-arm64

Build images

Platform Docker Hub GitHub Container Registry
Universal mlupin/docker-lambda:ruby2.7-build ghcr.io/mlupine/docker-lambda:ruby2.7-build
x86_64 mlupin/docker-lambda:ruby2.7-build-x86_64 ghcr.io/mlupine/docker-lambda:ruby2.7-build-x86_64
arm64 mlupin/docker-lambda:ruby2.7-build-arm64 ghcr.io/mlupine/docker-lambda:ruby2.7-build-arm64

java8.al2

Runtime images

Platform Docker Hub GitHub Container Registry
Universal mlupin/docker-lambda:java8.al2 ghcr.io/mlupine/docker-lambda:java8.al2
x86_64 mlupin/docker-lambda:java8.al2-x86_64 ghcr.io/mlupine/docker-lambda:java8.al2-x86_64
arm64 mlupin/docker-lambda:java8.al2-arm64 ghcr.io/mlupine/docker-lambda:java8.al2-arm64

Build images

Platform Docker Hub GitHub Container Registry
Universal mlupin/docker-lambda:java8.al2-build ghcr.io/mlupine/docker-lambda:java8.al2-build
x86_64 mlupin/docker-lambda:java8.al2-build-x86_64 ghcr.io/mlupine/docker-lambda:java8.al2-build-x86_64
arm64 mlupin/docker-lambda:java8.al2-build-arm64 ghcr.io/mlupine/docker-lambda:java8.al2-build-arm64

java11

Runtime images

Platform Docker Hub GitHub Container Registry
Universal mlupin/docker-lambda:java11 ghcr.io/mlupine/docker-lambda:java11
x86_64 mlupin/docker-lambda:java11-x86_64 ghcr.io/mlupine/docker-lambda:java11-x86_64
arm64 mlupin/docker-lambda:java11-arm64 ghcr.io/mlupine/docker-lambda:java11-arm64

Build images

Platform Docker Hub GitHub Container Registry
Universal mlupin/docker-lambda:java11-build ghcr.io/mlupine/docker-lambda:java11-build
x86_64 mlupin/docker-lambda:java11-build-x86_64 ghcr.io/mlupine/docker-lambda:java11-build-x86_64
arm64 mlupin/docker-lambda:java11-build-arm64 ghcr.io/mlupine/docker-lambda:java11-build-arm64

dotnetcore3.1

Runtime images

Platform Docker Hub GitHub Container Registry
Universal mlupin/docker-lambda:dotnetcore3.1 ghcr.io/mlupine/docker-lambda:dotnetcore3.1
x86_64 mlupin/docker-lambda:dotnetcore3.1-x86_64 ghcr.io/mlupine/docker-lambda:dotnetcore3.1-x86_64
arm64 mlupin/docker-lambda:dotnetcore3.1-arm64 ghcr.io/mlupine/docker-lambda:dotnetcore3.1-arm64

Build images

Platform Docker Hub GitHub Container Registry
Universal mlupin/docker-lambda:dotnetcore3.1-build ghcr.io/mlupine/docker-lambda:dotnetcore3.1-build
x86_64 mlupin/docker-lambda:dotnetcore3.1-build-x86_64 ghcr.io/mlupine/docker-lambda:dotnetcore3.1-build-x86_64
arm64 mlupin/docker-lambda:dotnetcore3.1-build-arm64 ghcr.io/mlupine/docker-lambda:dotnetcore3.1-build-arm64

dotnet6

Runtime images

Platform Docker Hub GitHub Container Registry
Universal mlupin/docker-lambda:dotnet6 ghcr.io/mlupine/docker-lambda:dotnet6
x86_64 mlupin/docker-lambda:dotnet6-x86_64 ghcr.io/mlupine/docker-lambda:dotnet6-x86_64
arm64 mlupin/docker-lambda:dotnet6-arm64 ghcr.io/mlupine/docker-lambda:dotnet6-arm64

Build images

Platform Docker Hub GitHub Container Registry
Universal mlupin/docker-lambda:dotnet6-build ghcr.io/mlupine/docker-lambda:dotnet6-build
x86_64 mlupin/docker-lambda:dotnet6-build-x86_64 ghcr.io/mlupine/docker-lambda:dotnet6-build-x86_64
arm64 mlupin/docker-lambda:dotnet6-build-arm64 ghcr.io/mlupine/docker-lambda:dotnet6-build-arm64

provided.al2

Runtime images

Platform Docker Hub GitHub Container Registry
Universal mlupin/docker-lambda:provided.al2 ghcr.io/mlupine/docker-lambda:provided.al2
x86_64 mlupin/docker-lambda:provided.al2-x86_64 ghcr.io/mlupine/docker-lambda:provided.al2-x86_64
arm64 mlupin/docker-lambda:provided.al2-arm64 ghcr.io/mlupine/docker-lambda:provided.al2-arm64

Build images

Platform Docker Hub GitHub Container Registry
Universal mlupin/docker-lambda:provided.al2-build ghcr.io/mlupine/docker-lambda:provided.al2-build
x86_64 mlupin/docker-lambda:provided.al2-build-x86_64 ghcr.io/mlupine/docker-lambda:provided.al2-build-x86_64
arm64 mlupin/docker-lambda:provided.al2-build-arm64 ghcr.io/mlupine/docker-lambda:provided.al2-build-arm64

Each tag can be suffixed with the architecture it's meant to be run on. Otherwise, Docker will use the architecture matching the host system. For example:

# This will always execute the code in an x86_64 evironment (native on x86 computers, emulated on arm64)
docker run --rm -v "$PWD":/var/task:ro,delegated mlupin/docker-lambda:nodejs12.x-x86_64 index.handler

# This will always execute the code in an arm64 evironment (native on arm64 computers, emulated on x86)
docker run --rm -v "$PWD":/var/task:ro,delegated mlupin/docker-lambda:nodejs12.x-arm64 index.handler

# This will always execute the code in an evironment matching the host computer architecture
docker run --rm -v "$PWD":/var/task:ro,delegated mlupin/docker-lambda:nodejs12.x index.handler

You might see the following message when trying to run a container built for an architecture different than your host:

WARNING: The requested image's platform (linux/amd64) does not match the detected host platform (linux/arm/v8) and no specific platform was requested

In that case, you need to install QEMU bindings on your machine so that containers can be emulated properly. To do that, simply execute the following command once:

docker run --rm --privileged multiarch/qemu-user-static --reset -p yes

Keep in mind that running emulated arm64 images on x86 machines and vice-versa is going to be painfully slow.

Usage

Running Lambda functions

You can run your Lambdas from local directories using the -v arg with docker run. You can run them in two modes: as a single execution, or as an API server that listens for invoke events. The default is single execution mode, which outputs all logging to stderr and the result of the handler to stdout.

You mount your (unzipped) lambda code at /var/task and any (unzipped) layer code at /opt, and most runtimes take two arguments – the first for the handler and the second for the event, ie:

docker run --rm \
  -v <code_dir>:/var/task:ro,delegated \
  [-v <layer_dir>:/opt:ro,delegated] \
  mlupin/docker-lambda:<runtime> \
  [<handler>] [<event>]

(the --rm flag will remove the docker container once it has run, which is usually what you want, and the ro,delegated options ensure the directories are mounted read-only and have the highest performance)

You can pass environment variables (eg -e AWS_ACCESS_KEY_ID=abcd) to talk to live AWS services, or modify aspects of the runtime. See below for a list.

Running in "stay-open" API mode

If you pass the environment variable DOCKER_LAMBDA_STAY_OPEN=1 to the container, then instead of executing the event and shutting down, it will start an API server (on port 9001 by default), which you can then call with HTTP following the Lambda Invoke API. This allows you to make fast subsequent calls to your handler without paying the "cold start" penalty each time.

docker run --rm [-d] \
  -e DOCKER_LAMBDA_STAY_OPEN=1 \
  -p 9001:9001 \
  -v <code_dir>:/var/task:ro,delegated \
  [-v <layer_dir>:/opt:ro,delegated] \
  mlupin/docker-lambda:<runtime> \
  [<handler>]

(the -d flag will start the container in detached mode, in the background)

You should then see:

Lambda API listening on port 9001...

Then, in another terminal shell/window you can invoke your function using the AWS CLI (or any http client, like curl):

aws lambda invoke --endpoint http://localhost:9001 --no-sign-request \
  --function-name myfunction --payload '{}' output.json

(if you're using AWS CLI v2, you'll need to add --cli-binary-format raw-in-base64-out to the above command)

Or just:

curl -d '{}' http://localhost:9001/2015-03-31/functions/myfunction/invocations

It also supports the documented Lambda API headers X-Amz-Invocation-Type, X-Amz-Log-Type and X-Amz-Client-Context.

If you want to change the exposed port, eg run on port 3000 on the host, use -p 3000:9001 (then query http://localhost:3000).

You can change the internal Lambda API port from 9001 by passing -e DOCKER_LAMBDA_API_PORT=<port>. You can also change the custom runtime port from 9001 by passing -e DOCKER_LAMBDA_RUNTIME_PORT=<port>.

Developing in "stay-open" mode

docker-lambda can watch for changes to your handler (and layer) code and restart the internal bootstrap process so you can always invoke the latest version of your code without needing to shutdown the container.

To enable this, pass -e DOCKER_LAMBDA_WATCH=1 to docker run:

docker run --rm \
  -e DOCKER_LAMBDA_WATCH=1 -e DOCKER_LAMBDA_STAY_OPEN=1 -p 9001:9001 \
  -v "$PWD":/var/task:ro,delegated \
  mlupin/docker-lambda:java11 handler

Then when you make changes to any file in the mounted directory, you'll see:

Handler/layer file changed, restarting bootstrap...

And the next invoke will reload your handler with the latest version of your code.

Building Lambda functions

The build images have a number of extra system packages installed intended for building and packaging your Lambda functions. You can run your build commands (eg, gradle on the java image), and then package up your function using zip or the AWS SAM CLI, all from within the image.

docker run [--rm] -v <code_dir>:/var/task [-v <layer_dir>:/opt] mlupin/docker-lambda:<runtime>-build[-<arch>] <build-cmd>

Run Examples

# Test a `handler` function from an `index.js` file in the current directory on Node.js v12.x
docker run --rm -v "$PWD":/var/task:ro,delegated mlupin/docker-lambda:nodejs12.x index.handler

# Test a `handler` function from an `index.js` file in the current directory on Node.js v12.x; image downloaded from GitHub Container Repo
docker run --rm -v "$PWD":/var/task:ro,delegated ghcr.io/mlupine/docker-lambda:nodejs12.x index.handler

# Test a `handler` function from an `index.js` file in the current directory on Node.js v12.x, forcing x86_64 arch to be used
docker run --rm -v "$PWD":/var/task:ro,delegated mlupin/docker-lambda:nodejs12.x-x86_64 index.handler

# Using a different file and handler, with a custom event
docker run --rm -v "$PWD":/var/task:ro,delegated mlupin/docker-lambda:nodejs12.x app.myHandler '{"some": "event"}'

# Test a `lambda_handler` function in `lambda_function.py` with an empty event on Python 3.8
docker run --rm -v "$PWD":/var/task:ro,delegated mlupin/docker-lambda:python3.8 lambda_function.lambda_handler

# Similarly with Ruby 2.7
docker run --rm -v "$PWD":/var/task:ro,delegated mlupin/docker-lambda:ruby2.7 lambda_function.lambda_handler

# Test a function from the current directory on Java 11
# The directory must be laid out in the same way the Lambda zip file is,
# with top-level package source directories and a `lib` directory for third-party jars
# https://docs.aws.amazon.com/lambda/latest/dg/java-package.html
docker run --rm -v "$PWD":/var/task:ro,delegated mlupin/docker-lambda:java11 org.myorg.MyHandler

# Test on .NET Core 3.1 given a test.dll assembly in the current directory,
# a class named Function with a FunctionHandler method, and a custom event
docker run --rm -v "$PWD":/var/task:ro,delegated mlupin/docker-lambda:dotnetcore3.1 test::test.Function::FunctionHandler '{"some": "event"}'

# Test with a provided runtime (assumes you have a `bootstrap` executable in the current directory)
docker run --rm -v "$PWD":/var/task:ro,delegated mlupin/docker-lambda:provided.al2 handler '{"some": "event"}'

# Test with layers (assumes your function code is in `./fn` and your layers in `./layer`)
docker run --rm -v "$PWD"/fn:/var/task:ro,delegated -v "$PWD"/layer:/opt:ro,delegated mlupin/docker-lambda:nodejs12.x

# Run custom commands
docker run --rm --entrypoint node mlupin/docker-lambda:nodejs12.x -v

# For large events you can pipe them into stdin if you set DOCKER_LAMBDA_USE_STDIN
echo '{"some": "event"}' | docker run --rm -v "$PWD":/var/task:ro,delegated -i -e DOCKER_LAMBDA_USE_STDIN=1 mlupin/docker-lambda:nodejs12.x

You can see more examples of how to build docker images and run different runtimes in the examples directory.

Build Examples

To use the build images, for compilation, deployment, etc:

# To compile native deps in node_modules
docker run --rm -v "$PWD":/var/task mlupin/docker-lambda:nodejs12.x-build npm rebuild --build-from-source

# To compile native deps in node_modules for a specific architecture
docker run --rm -v "$PWD":/var/task mlupin/docker-lambda:nodejs12.x-build-x86_64 npm rebuild --build-from-source
# or
docker run --rm -v "$PWD":/var/task mlupin/docker-lambda:nodejs12.x-build-arm64 npm rebuild --build-from-source

# To install defined poetry dependencies
docker run --rm -v "$PWD":/var/task mlupin/docker-lambda:python3.8-build poetry install

# For .NET Core, this will publish the compiled code to `./pub`,
# which you can then use to run with `-v "$PWD"/pub:/var/task`
docker run --rm -v "$PWD":/var/task mlupin/docker-lambda:dotnetcore3.1-build dotnet publish -c Release -o pub

# Run custom commands on a build container
docker run --rm mlupin/docker-lambda:python3.8-build aws --version

# To run an interactive session on a build container
docker run -it mlupin/docker-lambda:python3.8-build bash

Using a Dockerfile to build

Create your own Docker image to build and deploy:

FROM mlupin/docker-lambda:nodejs12.x-build

ENV AWS_DEFAULT_REGION us-east-1

COPY . .

RUN npm install

RUN zip -9yr lambda.zip .

CMD aws lambda update-function-code --function-name mylambda --zip-file fileb://lambda.zip

And then:

docker build -t mylambda .
docker run --rm -e AWS_ACCESS_KEY_ID -e AWS_SECRET_ACCESS_KEY mylambda

Node.js module

Using the Node.js module (npm install docker-lambda) – for example in tests:

var dockerLambda = require('docker-lambda')

// Spawns synchronously, uses current dir – will throw if it fails
var lambdaCallbackResult = dockerLambda({event: {some: 'event'}, dockerImage: 'mlupin/docker-lambda:nodejs12.x'})

// Manually specify directory and custom args
lambdaCallbackResult = dockerLambda({taskDir: __dirname, dockerArgs: ['-m', '1.5G'], dockerImage: 'mlupin/docker-lambda:nodejs12.x'})

Options to pass to dockerLambda():

  • dockerImage
  • handler
  • event
  • taskDir
  • cleanUp
  • addEnvVars
  • dockerArgs
  • spawnOptions
  • returnSpawnResult

Environment variables

  • AWS_LAMBDA_FUNCTION_HANDLER or _HANDLER
  • AWS_LAMBDA_EVENT_BODY
  • AWS_LAMBDA_FUNCTION_NAME
  • AWS_LAMBDA_FUNCTION_VERSION
  • AWS_LAMBDA_FUNCTION_INVOKED_ARN
  • AWS_LAMBDA_FUNCTION_MEMORY_SIZE
  • AWS_LAMBDA_FUNCTION_TIMEOUT
  • AWS_EXECUTION_ENV
  • AWS_EXECUTION_ARCH
  • _X_AMZN_TRACE_ID
  • AWS_REGION or AWS_DEFAULT_REGION
  • AWS_ACCOUNT_ID
  • AWS_ACCESS_KEY_ID
  • AWS_SECRET_ACCESS_KEY
  • AWS_SESSION_TOKEN
  • DOCKER_LAMBDA_USE_STDIN
  • DOCKER_LAMBDA_STAY_OPEN
  • DOCKER_LAMBDA_API_PORT
  • DOCKER_LAMBDA_RUNTIME_PORT
  • DOCKER_LAMBDA_DEBUG
  • DOCKER_LAMBDA_NO_MODIFY_LOGS

Build environment

Yum packages installed on build images:

  • development (group, includes gcc-c++, autoconf, automake, git, vim, etc)
  • aws-cli
  • aws-sam-cli
  • docker (Docker in Docker!)
  • clang
  • cmake

Questions

  • When should I use this?

    When you want fast local reproducibility. When you don't want to spin up an Amazon Linux EC2 instance (indeed, network aside, this is closer to the real Lambda environment because there are a number of different files, permissions and libraries on a default Amazon Linux instance). When you don't want to invoke a live Lambda just to test your Lambda package – you can do it locally from your dev machine or run tests on your CI system (assuming it has Docker support!)

  • Wut, how?

    By tarring the full filesystem in Lambda, uploading that to S3, and then piping into Docker to create a new image from scratch – then creating mock modules that will be required/included in place of the actual native modules that communicate with the real Lambda coordinating services. Only the native modules are mocked out – the actual parent JS/PY/Java runner files are left alone, so their behaviors don't need to be replicated (like the overriding of console.log, and custom defined properties like callbackWaitsForEmptyEventLoop)

  • What's missing from the images?

    Hard to tell – anything that's not readable – so at least /root/* – but probably a little more than that – hopefully nothing important, after all, it's not readable by Lambda, so how could it be!

  • Is it really necessary to replicate exactly to this degree?

    Not for many scenarios – some compiled Linux binaries work out of the box and an Amazon Linux Docker image can compile some binaries that work on Lambda too, for example – but for testing it's great to be able to reliably verify permissions issues, library linking issues, etc.

  • How is this fork better than the upstream LambCI repo?

    Well, it's maintained, that's the most obvious difference. I've also rewritten some parts of the code to make further development easier and added support for runtimes that were not supported in the original repo. I've also added support for arm64 Lambdas, which is a great addition for anyone who wants to migrate their functions to the newer architecture but was struggling to test and build ARM dependencies locally.

  • Why drop Amazon Linux 1 support?

    None of those AL1-based enviornments are going to get any upgrades and the images in the original repo still work just fine. There was no need to reinvent the wheel and create them again.

  • There is a new Lambda runtime and it's not supported by this project!

    I probably missed the fact that it was released, or I'm already working on getting it implemented. In any case, feel free to create an issue and I'll do my best to add it ASAP.

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