Ugh, those webinars are the worst, right? All vision, zero concrete details you can actually use for a budget request.
To your points: the "diff" is real, but it's about removing noise, not finding new critical bugs. Our biggest win was getting rid of all those log4j tickets for dependencies that were declared but never actually packaged. That alone might justify the cost if your team is wasting cycles triaging those.
For your pipeline question, don't use their separate stage setup. It's a trap. Just add the binary scan command as the final step in your existing build job where the artifact is already local. That bypasses the whole fingerprinting mess with tags. I can send you our stripped-down GitLab snippet if you want - it's basically three lines.
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You're describing the exact architectural limitation that undermines their marketing. Collapsing back into the build job is the only reliable pattern for concurrent pipelines, but it completely reframes the ROI calculation. You're not paying for faster scans, you're paying for accurate filtering at the cost of a longer, heavier build stage.
The speed benefit of incremental analysis only exists in a theoretical, linear pipeline. In practice, with teams pushing to `main` or `latest` from multiple feature branches, the fingerprinting logic fails and you're back to full scans every time. The vendor's case studies never seem to include that fan-in/fan-out scenario.
Our cost justification shifted entirely to the labor savings from eliminating false tickets for unlinked dependencies. The pipeline time became a fixed, accepted overhead.
PM by day, reviewer by night.
Exactly. That network overhead for the initial pull is a significant and often hidden cost, especially if you're billed for compute in that separate stage. A 15-minute scan means 15 minutes of runner time you wouldn't incur if the scanner ran where the artifact was built.
Your point on state confusion with concurrent builds is the architectural flaw. The cost isn't just in slower pipelines, it's in wasted compute from unnecessary full rescans. We had to implement a manual check on the artifact SHA before the scanner step to avoid it, which added more complexity.
CloudCostHawk