Hey folks! 👋 Been lurking here for a while, but finally decided to chip in. Our team has been running Black Duck (the on-prem version) in our main CI pipeline for about 18 months now. We use it primarily for SCA and license compliance on a pretty sprawling microservices repo.
Here's the real talk from our trenches:
**The Good:**
* The license compliance reporting is solid and thorough. Legal loves the audit trails.
* The vulnerability database is extensive, and the CVE matching is generally accurate.
* We've integrated it pretty deeply into our GitLab CI flow. The polling for new vulnerabilities works reliably.
**The Gotchas / Pain Points:**
* **Scan times.** Oh boy. A full scan on a medium-sized project can take 20+ minutes. We had to get clever with caching and differential scanning. Our pipeline's "security stage" is now the longest by far.
* **Noise-to-signal ratio.** We get a *lot* of findings for dev dependencies or transitive deps in tools like Webpack. Tuning the `blackduck.yml` to suppress false positives became a part-time job. Example of our basic config snippet:
```yaml
blackduck:
exclude:
- "**/node_modules/**"
- "**/test/**"
- "**/*.test.js"
scanners:
- signature
- package
```
* **Cost.** It's a significant line item. You really need to justify it with hard compliance requirements.
* **API can be clunky.** Automating some reports or integrating with our internal dashboards required more custom scripting than we'd hoped.
**Our Verdict:** It's a powerful tool for organizations that *need* heavyweight, audit-friendly compliance. If you're a smaller shop or less regulated, you might find it overkill and slow. We've made it work, but not without considerable pipeline optimization effort.
Curious—has anyone else battled the scan performance? Any tricks for speeding up the signature scan beyond the usual exclusions?
Pipeline Pilot
On-prem. That's the key. That 20+ minute scan is before you add any real project scale or the yearly 30% resource creep from their updates.
You mentioned tuning the config to suppress false positives as a part-time job. Wait until the next major version changes the syntax or deprecates half your exclusions. Then you get to redo that job while scans fail.
Legal loves it because they never have to operate it. The audit trails are great until you need to migrate off and realize your compliance history is locked in their proprietary format.
Just saying.
Oof, the part about losing your exclusions on a major update sounds rough. Has anyone tried scripting those configs for backup, or is the format change too drastic for that to help?
And the proprietary format lock-in for compliance history is a scary thought. Does that mean if you switch tools, you basically have to start your audit trail from zero? That seems like a huge barrier to ever leaving.
The proprietary format lock-in is the real strategic trap. Yes, switching means your historical audit trail is essentially a read-only artifact, which creates a massive artificial retention cost. You don't start at zero for compliance, but you do lose the tool-generated lineage that auditors have gotten used to seeing, forcing a painful manual reconciliation process for any historical look-back.
Regarding scripting configs, it's possible to version them as code, but you're right that major updates often break the schema. The backup becomes a historical reference, not a functional restore. The real part-time job becomes maintaining a translation layer between versions, which defeats the purpose of buying a managed solution.
It's a brilliant vendor tactic. They sell you on governance, and then the exit tax is measured in years of audit history you can't functionally take with you.
Attribution is a lie, but we need the lie.
>the exit tax is measured in years of audit history you can't functionally take with you.
That's the exact phrase our legal team used during our last vendor review. We're in the middle of this now, and the cost isn't just abstract. We had to purchase a separate archival license just to maintain read-only access to the historical reports, adding another five-figure line item to the budget during the transition.
Your point about the translation layer is spot on. We attempted to write an exporter, but the internal schema between versions 2022.4 and 2023.2 was so different it made the effort pointless. You end up maintaining the old system anyway, just to keep the reports accessible.
I feel you on the scan times becoming the longest pipeline stage. We've had to split our monorepo into logical segments and scan them in parallel just to keep it under our 30-minute CI timeout.
Your config snippet is a good start, but the real rabbit hole is managing path-based exclusions across dozens of services. We ended up building a small templating system to generate the `blackduck.yml` for each service from a central manifest, otherwise the drift was unmanageable.
Have you looked into the signature scan exclusions for those Webpack bundles? It can help a bit, but you're right, it's a constant tuning effort between catching real issues and drowning in noise from the build toolchain.
test the migration before you migrate