Sifflet × Adaptavist
+94% gain in testing efficiency (daily runs from hours to 10 minutes)
Bloated, opaque stack to full end-to-end lineage visibility
Members read free
Enter your email to open every case study in the library: the full screenshot, why it works, and the one thing worth stealing. One email unlocks all of them.
Free. No spam. Unsubscribe anytime.
You're in — enjoy the library.
The case study anchors on two concrete efficiency numbers (94% testing gain, 92% refactoring gain) that are specific to this customer, giving readers something to benchmark against. The quote from Callum O'Connor is genuinely informative: it walks through a real technical obstacle (cross-repo lineage to S3 via stored procedures) and the exact workaround used (mapping table parsed into declared assets sent via API). There is a mild coin-flip between Efficiency and Clarity because the before-state is partly about not seeing lineage at all, but the headline numbers and framing lead with time and effort saved, so Efficiency wins.
The before/after debugging narrative (two days hunting nested CTEs vs. working backwards from a monitor to one piece of code) makes the time saving tangible and process-specific, not just a percentage drop. Pair a workflow description with the metric and readers will believe both.
Click to enlarge ↗ This is editorial commentary and curation. The case study, screenshot, and all metrics are Sifflet's published work; we link to the source and lead with our analysis.