Cost Engineering

Compute unit economics for a pipeline

Turn cluster and warehouse billing into unit economics — cost per run, per 1M rows, per model build — so a regression shows up as a number, not a surprise invoice.

Install cost guardrails before the invoice

Instrument, attribute, then guard: the Cost Guardrails pattern in four moves — a unit metric per pipeline, a baseline of the last N runs, CI failing on regression, and hard caps.

Attribute a 4x Spark cost regression

• Diff shuffle write and input bytes run-over-run
• Attribute a cost regression to one stage

Attribute spend with the Cost Lens plugin

Install the Cost Lens plugin and use its three commands to attribute spend, compute unit economics, and guard cost-per-run.

Cost Unit-Economics Reporter

• Attribute compute cost to a pipeline run
• Define a unit metric that resists regressions

Spark Cost Regression Guard

• Capture cost-relevant metrics from a Spark run
• Store and compare a baseline

Cost Lens

Attributes warehouse/cluster spend to pipelines, computes unit economics, and alerts on cost-per-run regressions rather than on total spend.

Spark Cost Check

Fail a build when a Spark job's cost metrics regress past a threshold.

Cost Optimizer

Reduce the unit cost of pipelines without breaking them.

Spark job suddenly costs 4x

One job's compute cost quadrupled without an obvious functional change — attribute it and reverse the regression.

Cost Guardrails

A working pipeline silently becomes expensive and nobody notices until the invoice.