Evaluate GCE VMs as an execution environment for performance-sensitive scanning
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Nobody has claimed this yet.
Assessment
- Difficulty
- 5/5
- Estimated time
- Over a week
- Newbie friendliness
- 30/100
- Issue type
- Feature
- Clarity
- Needs clarification
- Activity status
- Quiet
- Tech stack
- google-cloud, python
- Domain
- cloud, performance
Research direction
The issue mentions Cloud Run constraints and GCE VMs but names no files, tests, or entry points. Start by locating the performance-scanning agents and their current execution environment, then define the evaluation criteria and document whether GCE addresses host-level perf-counter access and cold-start variance.
Written by the indexing model from the issue text.
Description
Spike to assess whether full-control VMs (GCE) are needed for performance-scanning agents, where Cloud Run's constraints (no host-level perf counters, cold start variance) may be limiting.
- Dominant language
- Python
- Stars
- 571
- Forks
- 355
- Avg merge
- 2d 6h
- Merged PRs (30d)
- 77
Getting set up
- Ships a Dockerfile or Docker Compose file
- No pull request template
- Read the contributing 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.
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