spcl / spcl/serverless-benchmarks
Cleaning up cloud resources
Nobody has claimed this yet.
- Dominant language
- Python
- Stars
- 199
- Forks
- 105
- PR merge metrics
- No merged PRs in 30d
Description
SeBS allocates many cloud resources - storage buckets, NoSQL tables, resource groups and storage accounts (Azure), and functions. We already have initial support for removing buckets and resource groups. We should extend it to support full cleaning.
- Remove all resources allocated with a specific resource prefix.
- Remove functions.
- Remove NoSQL tables (for PR #214)
- Remove all queues (PR #220)
- Remove all additional resources like AWS policies.
- Remove all containers.
Contributor guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Start by reading the existing bucket and resource-group removal support, then inspect PRs #214 and #220 for the planned NoSQL table and queue cleanup. Trace how resources are identified by prefix across the supported cloud providers. Done means all listed resource categories, including functions, policies, and containers, are removed for a specific prefix.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- cloud
- Issue type
- Feature
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Quiet
- Clarity
- Mostly clear
- Newbie friendliness
- 45/100