spcl / spcl/serverless-benchmarks

New non-standard language runtimes

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aws azure enhancement gcp
Dominant language
Python
Stars
199
Forks
105
PR merge metrics
No merged PRs in 30d

Description

In SeBS, we initially focused on Python and Node.js, and have work-in-progress support for C++ and Java. However, in addition to standard language runtime available in the clouds, there is an opportunity to use unofficial runtimes that can provide better performance: PyPy for Python, LLRT and Bun for JavaScript, GraalVM for Java. For that, we need to build custom Docker images or try to ship the language runtime with code package (Azure, GCP).

Contributor guide

Open the contributing guide

First steps

  1. Read the whole issue, then the project's contributing guide.
  2. Comment on the issue to say you are picking it up — it saves two people doing the same work.
  3. Fork the repository and make your change on a branch.
  4. Open a pull request that references the issue number.

Research direction

Begin by reviewing the existing Python and Node.js runtime support, along with the work-in-progress C++ and Java support. Compare custom Docker images with shipping runtimes in the code package for Azure and GCP, and define how PyPy, LLRT, Bun, and GraalVM would be supported. Done means the selected unofficial runtimes are available for benchmarking.

Written by the indexing model from the issue text.

Assessment

Tech stack
bun, cpp, java, javascript, node.js, python
Domain
backend, cloud, performance
Issue type
Feature
Difficulty
5/5
Estimated time
Over a week
Activity status
Stale
Clarity
Needs clarification
Newbie friendliness
25/100

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