[EPIC | CO] - Workflow Performance Reporting
Nobody has claimed this yet.
- Dominant language
- Python
- Stars
- 2
- Forks
- 1
- Avg merge
- 1d 11h
- Merged PRs (30d)
- 6
Description
Summary
Objective: produce a pdf report capturing runtime metrics in Azure Batch.
Pain points: there currently isn't a way to compare various runtime metrics if models change or VM node sizes change.
Success measure: report with specified metrics can be produced on demand.
Timeline: not set yet
Stakeholders: Tom Hladish, Nick Adams
Components
- Documentation
- Code Updates
- New Functionality
- Dagster Integration
- Azure Expertise
Resources
doc
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 reviewing the repository and the linked resource for existing Azure Batch workflow and runtime-metric handling. Clarify which metrics and VM or model comparisons the report must support, then identify the entry point for on-demand generation. Done means a PDF report can be produced on demand with the specified metrics.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- azure, python
- Domain
- cloud, performance
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Active
- Clarity
- Mostly clear
- Newbie friendliness
- 35/100