I've recently completed a basic JFrog Xray installation in our test environment, moving beyond the theoretical. As someone who typically benchmarks BI query performance, I'm now approaching this from an operational analytics perspective: we need to generate actionable vulnerability reports, not just raw scan data.
My immediate post-install questions are procedural:
* What is the first, most critical configuration step after the services are up? Is it defining the default policies, or connecting all Artifactory repositories to Xray?
* From a data workflow standpoint, should initial focus be on indexing existing artifacts (a historical baseline) or setting up policies for new deployments first?
* What are the key performance indicators for a successful setup? I'm thinking of metrics like:
* Time to first scan completion
* Percentage of repositories indexed
* Policy violation alert latency
I assume the configuration revolves around the `xray-config.yaml` and policy management via the UI/API. A minimal example of a high-severity security policy rule in JSON would be helpful to understand the structure.
```json
{
"name": "block-critical-cve",
"type": "security",
"rules": [
{
"priority": "high",
"criteria": {
"min_severity": "Critical",
"fix_version_exists": false
}
}
]
}
```
My goal is to establish a clean, measurable onboarding process that we can later instrument and track in our data warehouse. What were the most impactful early steps you took that reduced noise and delivered clear, actionable findings to your development teams?