SCAR is a framework to transparently execute containers out of Docker images in AWS Lambda, in order to run applications (see examples for ImageMagick, FFmpeg and AWS CLI, as well as deep learning frameworks such as Theano and Darknet) and code in virtually any programming language (see examples for Ruby, R, Erlang and Elixir) on AWS Lambda.

SCAR provides the benefits of AWS Lambda with the execution environment you decide, provided as a Docker image available in Docker Hub. It is probably the easiest, most convenient approach to run generic applications on AWS Lambda, as well as code in your favourite programming language, not only in those languages supported by AWS Lambda.

SCAR also supports a High Throughput Computing Programming Model to create highly-parallel event-driven file-processing serverless applications that execute on customized runtime environments provided by Docker containers run on AWS Lambda. The development of SCAR has been published in the Future Generation Computer Systems scientific journal.

Related resources: Website | Scientific Paper (pre-print).

SCAR documentation can be found in readthedocs.

Also the examples have extra information that is usefull to execute them.

SCAR is licensed under the Apache License, Version 2.0. See LICENSE for the full license text.

There is further information on the architecture of SCAR and use cases in the scientific publication "Serverless computing for container-based architectures" (pre-print available here), included in the Future Generation Computer Systems journal. Please acknowledge the use of SCAR by including the following cite:

A. Pérez, G. Moltó, M. Caballer, and A. Calatrava, “Serverless computing for container-based architectures,” Futur. Gener. Comput. Syst., vol. 83, pp. 50–59, Jun. 2018.

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