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			- Implemented RustFsArtifactObjectStore for managing artifacts in RustFS. - Added unit tests for RustFsArtifactObjectStore functionality. - Created a RustFS migrator tool to transfer objects from S3 to RustFS. - Introduced policy preview and report models for API integration. - Added fixtures and tests for policy preview and report functionality. - Included necessary metadata and scripts for cache_pkg package.
Scanner Language Analyzer Benchmarks
This directory will capture benchmark results for language analyzers (Node, Python, Go, .NET, Rust).
Pending tasks:
- LA1: Node analyzer microbench CSV + flamegraph.
- LA2: Python hash throughput CSV.
- LA3: Go build info extraction benchmarks.
- LA4: .NET RID dedupe performance matrix.
- LA5: Rust heuristic coverage comparisons.
Results should be committed as deterministic CSV/JSON outputs with accompanying methodology notes.
Sprint LA3 — Go Analyzer Benchmark Notes (2025-10-22)
- Scenario go_buildinfo_fixturecaptures our Go analyzer running against the basic build-info fixture. The Oct 23 baseline (baseline.csv) shows a mean duration of 35.03 ms (p95 136.55 ms, max 170.16 ms) over 5 iterations on the current rig; earlier Oct 21 measurement recorded 4.02 ms mean when the analyzer was profiled on the warm perf runner.
- Comparative run against Syft v1.29.1 on the same fixture (captured 2025-10-21) reported a mean of 5.18 ms (p95 18.64 ms, max 23.51 ms); raw measurements live in go/syft-comparison-20251021.csv.
- Bench command (from repo root):
 dotnet run --project bench/Scanner.Analyzers/StellaOps.Bench.ScannerAnalyzers/StellaOps.Bench.ScannerAnalyzers.csproj -- --config bench/Scanner.Analyzers/config.json --out bench/Scanner.Analyzers/baseline.csv
Sprint LA4 — .NET Analyzer Benchmark Notes (2025-10-23)
- Scenario dotnet_multirid_fixtureexercises the .NET analyzer against the multi-RID test fixture that merges two applications and four runtime identifiers. Latest baseline run (Release build, 5 iterations) records a mean duration of 29.19 ms (p95 106.62 ms, max 132.30 ms) with a stable component count of 2.
- Syft v1.29.1 scanning the same fixture (syft scan dir:…) averaged 1 546 ms (p95 ≈2 100 ms, max ≈2 100 ms) while also reporting duplicate packages; raw numbers captured indotnet/syft-comparison-20251023.csv.
- The new scenario is declared in bench/Scanner.Analyzers/config.json; rerun the bench command above after rebuilding analyzers to refresh baselines and comparison data.
Sprint LA2 — Python Analyzer Benchmark Notes (2025-10-23)
- Added two Python scenarios to config.json: the virtualenv sample (python_site_packages_scan) and the RECORD-heavy pip cache fixture (python_pip_cache_fixture).
- Baseline run (Release build, 5 iterations) records means of 5.64 ms (p95 18.29 ms) for the virtualenv and 5.86 ms (p95 13.29 ms) for the pip cache verifier; raw numbers stored in python/hash-throughput-20251023.csv.
- The pip cache fixture exercises PythonRecordVerifierwith 12 RECORD rows (7 hashed) and mismatched layer coverage, giving a repeatable hash-validation throughput reference for regression gating.