Depot × People Data Labs
Depot x People Data Labs: 68% cheaper CI, 3,000 lines of code gone
68% reduction in CI spend
Infrastructure maintenance to innovation mode
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Why it works
The case study leads with three concrete, attributable numbers (25% faster, 68% cost reduction, 3,000 lines removed) that give the story a clear, verifiable anchor. The before-state is unusually specific, detailing disk-space failures, OOM errors, a 1GB cache ceiling caused by AWS-to-Azure latency, and a custom ECS operator built from scratch, which makes the improvement feel earned rather than claimed. The unlimited caching benefit edges into New Capability territory since the team explicitly shifted mental models from avoiding caching to caching everything.
Steal this
Quantify the hidden engineering tax: the case study counts lines of deleted code (3,000) as a first-class result metric, which makes the maintenance burden concrete and memorable in a way that 'reduced complexity' never would.
Click to enlarge ↗ This is editorial commentary and curation. The case study, screenshot, and all metrics are Depot's published work; we link to the source and lead with our analysis.