
Developed and stabilized a CI performance benchmarking workflow for the sage-lib repository, enabling direct comparison of GitHub-hosted and Depot runners. Leveraging Bash and YAML within GitHub Actions, the work introduced parallel pipelines to measure install time, execution duration, and per-run cost, providing actionable data for infrastructure decisions. Addressed critical parsing and cost-metric issues by refining JSON payload generation and implementing job-level environment variables. Consolidated redundant steps into a composite action to streamline maintenance and added timeouts to prevent hanging jobs. These improvements delivered clearer cost models and enhanced reliability, supporting ongoing optimization of CI/CD processes and performance testing.
June 2026: Delivered and stabilized CI performance benchmarking across GitHub-hosted and Depot runners in sage-lib. Implemented a parallel runner comparison workflow to measure install time, execution duration, and per-run cost, and fixed critical parsing/cost-metric issues to ensure reliable cost visibility. Consolidated duplication by introducing a composite action for runner benchmarks and introduced timeouts to prevent hanging jobs. Demonstrated end-to-end workflow improvements, resulting in clearer cost models and more actionable performance data for infrastructure decisions.
June 2026: Delivered and stabilized CI performance benchmarking across GitHub-hosted and Depot runners in sage-lib. Implemented a parallel runner comparison workflow to measure install time, execution duration, and per-run cost, and fixed critical parsing/cost-metric issues to ensure reliable cost visibility. Consolidated duplication by introducing a composite action for runner benchmarks and introduced timeouts to prevent hanging jobs. Demonstrated end-to-end workflow improvements, resulting in clearer cost models and more actionable performance data for infrastructure decisions.

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