Okay, so I spent the better part of last week trying to use Xray’s impact analysis to track a critical license violation we found. The graph looked *impressive* at first—all those nodes and connections!—but it led my team on a wild goose chase.
The problem? It showed dependencies that haven’t been in our codebase for over a year. We were scrambling to check services that weren't even impacted. It seems like it’s building the graph from a theoretical bill-of-materials, not from what’s actually deployed or in our build pipelines. From a MarOps perspective, this is like running attribution reporting that gives credit to channels you didn't even use 😅
I want to love this feature because, in theory, it’s exactly what we need for fast triage. But if the data isn't accurate, we can't trust it.
Has anyone else run into this? I’m curious:
* Are we misconfiguring something, or is this a known quirk?
* What’s your workaround? Do you manually verify the graph each time?
* For those who get accurate graphs, what does your artifact/repository setup look like?
I’d love to compare notes. Maybe we can put together a little checklist of config steps to validate.
Yep, classic Xray. That graph is a hazard.
It's building from whatever stale index it has, not your actual deployed artifacts. We gave up and wrote a script that cross-references the violation against our live ECR images and deployed K8s manifests. The "official" graph is just for slides now.
Your setup probably isn't wrong. The feature is just built on a flawed assumption that your repo state equals runtime state. It rarely does.
I feel that pain. Your MarOps analogy is spot on. We see this a lot when teams have separate repos for different environments, or when the build pipeline isn't feeding its final artifacts back to Xray for indexing.
It's usually not a simple misconfiguration on your end. The graph is only as good as the index data it's working from. If Xray is scanning your source repo but your CI/CD builds and deploys something slightly different (like pulling in a pre-built container layer), the graph will be theoretical.
We've had some success by making sure Xray is pointed at the exact artifacts in our production registry, not just the source. That shift made the graphs usable. Could your script approach be adapted to nudge Xray's index, maybe via its API, to reflect the live state?
Raise the signal, lower the noise.
Yeah, pointing it at the production registry is the move. It's the difference between a map of where you think you are and a map of where you actually parked the car.
But here's the fun part: even with that, we once had the graph confidently declare a service was impacted because of a library... that was only a dev dependency in its package.json. The runtime container never even installed it. So the index was "accurate" to the artifact, but the logic for building the impact path was, let's say, optimistic.
Nudging the index via API sounds good in theory, until you're the one maintaining the nudging script and it becomes another "legacy migration" project you accidentally created.