Sifflet × Adaptavist
+94% gain in testing efficiency (daily runs from hours to 10 minutes)
Bloated, opaque stack to full end-to-end lineage visibility
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.
Members read free
Enter your email to see the full-page screenshot of this case study, and every other one in the library. One email unlocks all of them.
Free. No spam. Unsubscribe anytime.
You're in. Enjoy the library.
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.