spcl / spcl/serverless-benchmarks

Supporting storage types on open-source platforms

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

Description

Currently, we use Minio deployment on open-source platforms like OpenWhisk. While this works well for local deployments, users also want to deploy Kubernetes-based FaaS platforms to the cloud. There, we need to support both the remote Minio deployment and the use of support using cloud-native storage like S3 or Blob Storage.

Solution

Functions deployed to platforms like OpenWhisk, Fission, and Knative should be able to use a configurable storage type. Depending on the type, we select the wrappers that have to be added and configure environment variables in a function to access the storage correctly.

Challenges and implementation steps:

  • We should have an additional configuration section in JSON and/or CLI switch "--storage ".
  • Storage type should be cached as a part of the function. Changing the storage type requires redeployment to update wrappers and environment variables.
  • Users provide the configuration to access the storage, like the address of Minio and access keys or Azure resource group. Alternatively, we deploy it on-the-fly - except for Minio, which needs to be deployed earlier.

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

Start by locating the existing Minio deployment, storage wrapper selection, and function environment-variable configuration for OpenWhisk, Fission, and Knative. Define the supported storage configuration and redeployment behavior, then verify that each platform can use the selected storage type and its required access settings.

Written by the indexing model from the issue text.

Assessment

Tech stack
aws, azure, kubernetes, python
Domain
cloud, infrastructure
Issue type
Feature
Difficulty
5/5
Estimated time
Over a week
Activity status
Stale
Clarity
Mostly clear
Newbie friendliness
30/100

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