Opti Pipe, a human-approved optimizer for data pipelines

Field notes

Opti Pipe takes uploaded pipeline result files and compares their execution telemetry with the active configuration across four dimensions: latency, throughput, resource use, and cloud cost. Its visible sample compares the last five runs and proposes changing Spark executor memory from 16g to 13g, estimating $15.09 in monthly savings alongside a 0.4% latency increase. Recommendations are presented as diffs with rationale and require approval rather than automatic deployment.