Research
We study the impact of
observability on modern science.
Observability Benchmarks
Discover industry benchmarks, access project data, and peer review research.
Benchmark: Idle Instance detection reduce compute utilization by 28.1%
Objective: Quantify impact of idle instance elimination on cloud cost
Method: Observed 1,247 pipeline runs using the Tracer kernel instrumentation
Result: Avg. compute utilization improved by 28.1%, idle hours reduced by 42%
Reproducibility: Scripts and anonymized telemetry dataset available upon request
Benchmark: AI Right-Sizing reduced Nextflow costs by 30%
Objective: Evaluate impact of AI instance recommendations on pipeline cost
Method: Observed 830 Nextflow runs using Tracer kernel instrumentation
Result: Compute spend reduced by 30.4%, utilization improved by 26%
Reproducibility: Scripts and anonymized telemetry dataset available upon request
Benchmark: AWS Batch tuning reduced costs by 39.7%
Objective: Measure cost impact of instance family and region optimization
Method: Conducted controlled tests across 540 AWS Batch pipeline runs
Result: Average cost reduction of 39.7%, peak savings reached 55%
Reproducibility: Configurations and anonymized cost data available upon request
