Online Troubleshooting and Retrospective for Supply Chain Security and Open Source Dependency Governance: Deployment and Upgrade

Core data sources for this category include package managers, code repositories, public vulnerability databases, and license databases. Standardized

What Data for This Category Includes

Core data sources for this category include package managers, code repositories, public vulnerability databases, and license databases. Standardized documents produced regularly include SBOM lists, dependency risk reports, license lists, and repair work orders. Fields covered include third-party dependency package names, version numbers, associated vulnerability IDs, license types, risk ratings, and repair statuses. Data updates occur daily or when each software version is released. Core data items use standard package management and general security rating dimensions, with no custom special units.

Constraints for Deployment and Upgrade Workflows

Data sources are scattered and update frequently. Ensure stable connections to multiple external data sources during deployment to avoid dependency identification interruptions from configuration errors. Multiple daily produced document types require accompanying storage and indexing configurations, otherwise risk reports and repair work orders cannot be retrieved quickly. High computational load in dependency asset identification and vulnerability matching steps requires reasonable database connection pool parameter configuration during deployment, to prevent service blocking due to insufficient resources after upgrade. In scenarios of unexpected power outages or restarts, ensure persistent storage is mounted correctly to avoid service startup failure caused by invalid database connection configurations.

Configuration Settings

All following configuration items are compatible with FastGPT v4.17.0:

Configuration ItemRecommended ValueRationale
DB_MAX_LINK100–200Supports concurrent requests for dependency identification and vulnerability matching, prevents service lag caused by exhausted connections
MONGODB_URIFill in the actual deployed MongoDB instance address, including authentication informationStores unstructured business data such as SBOM lists and risk reports, ensures data persistence and retrievability
PG_URLFill in the actual deployed PostgreSQL instance address, including authentication informationStores structured business data such as dependency package metadata and repair work orders, supports efficient queries and statistics
STORAGE_S3_ENDPOINTFill in the endpoint for self-built or cloud service provider object storageStores documents and log files generated by scans, supports shared access in multi-node deployments
REDIS_URLFill in the actual deployed Redis instance address, including authentication informationCaches dependency matching results and temporary scan tasks, improves response speed for batch processing
ROOT_KEYGenerate a random string of 32 or more characters per security requirementsUsed for system administrator permission verification, prevents unauthorized access to deployment configurations and core data

Three Common Misconfigurations

  • Symptoms include failure to create new users after deployment via Docker Compose, with interface prompts of insufficient permissions or API returning 403 status code. The cause is incorrect configuration of the ROOT_KEY parameter, or failure to enable the administrator registration process, resulting in regular users being unable to obtain registration permissions.
  • Symptoms include failure to start PostgreSQL or MongoDB services after an unexpected power outage and restart, with logs showing connection refused or permission errors. The cause is failure to mount the database data directory to a persistent storage volume during deployment, resulting in loss of locally cached configurations and data due to power outage.
  • Symptoms include partial requests remaining in a loading state with no response when more than 7 concurrent user requests are initiated. The cause is an excessively low DB_MAX_LINK configuration value, which cannot support concurrent dependency scanning and data query requests.

How to Verify Successful Configuration

  • Run service status check commands to confirm that databases, Redis, and core FastGPT services are all running normally, with no abnormal exit logs.
  • Access the domain specified by the configured FE_DOMAIN, use the generated ROOT_KEY to complete administrator registration, and verify that permission configurations take effect.
  • Upload a test dependency list file to trigger a dependency scan task, confirm that generated risk reports and SBOM lists can be viewed in the interface after the task completes.
  • Simulate an unexpected restart scenario, restart all deployed services, confirm that database connections function normally with no connection refused errors.

The values provided are common starting points, and should be evaluated against the reader's own samples.

Question material comes from public community discussions. Configuration values are common starting points and should be measured against your own samples. Verified on 2026-10-19.