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Depot × Inference.net

Depot x Inference.net, 4x faster deploys with zero CI failures

4x faster cached builds

Unreliable, slow builds to stable, near-instant deployments

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Why it works

The case study leads with a visceral failure scenario, a runner hanging for over two hours during a customer deployment, which makes the before-state concrete and relatable to any engineering team. The metrics are specific and tied directly to this customer: fresh builds from 2.5 minutes to 56 seconds, cached builds from 2 minutes to 30 seconds, and end-to-end deployments from up to an hour to about 5 minutes. The reliability angle (zero CI infrastructure failures post-migration) is just as strong as the speed story, making this a genuine Efficiency plus Resilience combination, though speed and time-reduction lead the framing.

Steal this

Open with a named, timed failure event (the two-hour hung runner during a live customer deployment) before introducing the vendor. It makes the problem feel real and urgent rather than generic.

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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.

  • Vendor Depot
  • Customer Inference.net
  • Industry SaaS
  • Trigger Mission-critical bug fixes blocked by hanging CI runners during customer deployments
  • Format Written narrative
  • Structure Challenge-Solution-Results
  • Medium Web page