What This Category’s Data Looks Like
Data for this category primarily comes from cloud audit logs, IAM permission systems, CMDB resource inventories, and security baseline scan results. Four types of documents are produced on a regular basis: compliance checklists, permission audit reports, resource inventory lists, and rectification tracking forms. Data update frequency is monthly or quarterly. Core fields include resource unique identifiers, permission configuration items, audit timestamps, and rectification completion status. Compliance status is recorded using standard time formats, resource names, and boolean values. No additional custom units are used.
Constraints for Database and Operations Workflows
Data sources are scattered, and update cycles are long. Databases must support batch import and incremental synchronization of multi-source heterogeneous data. Field mapping space must be reserved to accommodate different document formats. Monthly and quarterly batch data processing creates peak load. Connection pools must be configured to limit concurrent connections and prevent database overload. Compliance data contains sensitive permission information. Database access links must be encrypted. Query ranges for unauthorized users must be restricted. Rectification tracking forms must associate resources with audit records. Databases must support multi-table joint queries. Unique indexes for resource IDs and audit reports must be created to improve query efficiency.
Configuration Settings
This configuration applies to FastGPT v4.17.0.
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
MONGODB_URI | mongodb://[username]:[password]@host:port/audit_db?authSource=admin | Used to connect to the document database required for compliance audits. Must specify the authentication source and target database to ensure correct data read/write permissions |
PG_URL | postgresql://[username]:[password]@host:port/audit_struct?sslmode=require | Used to store structured data such as compliance checklists and permission audit reports. SSL encryption must be enabled to secure sensitive data transmission |
DB_MAX_LINK | 10–15 connections | Adapts to peak load from monthly batch data processing. Prevents database connection exhaustion from excessive concurrent connections. Adjust the specific value based on actual testing |
REDIS_URL | redis://:cache_password@host:port/0 | Used to cache high-frequency query resource inventory and compliance baseline data to reduce repeated database query pressure. Must configure a password to prevent unauthorized access |
Three Common Configuration Mistakes
- Phenomenon: The
retry init root user mongo start connect init root user errorlog displays after startup. Cause: Incorrect configuration ofMONGODB_URIauthentication parameters prevents successful root user initialization during database connection. - Phenomenon: Permission audit report queries return empty results. Cause: No unique index created for resource IDs and audit records, so multi-table joint queries cannot match associated data.
- Phenomenon: Connection timeout errors occur during batch resource inventory import. Cause: Unrestricted concurrent connections via
DB_MAX_LINKcause excessive database peak load and failed request responses.
How to Verify Successful Configuration
- Run the built-in database connectivity test script to verify connectivity for
MONGODB_URIandPG_URL. Single test duration must not exceed 10 seconds. - Query the resource inventory table to confirm imported resource IDs match original CMDB data. Check that multi-table joint query response time does not exceed 200 milliseconds.
- View the Redis cache monitoring panel to confirm high-frequency query resource data has been cached. Set cache data expiration time to 3600 seconds.
- Simulate a single batch data import task. Total processing time for 500 resource records must not exceed 600 seconds.
The values provided here are common starting points and should be evaluated against the reader's own operational 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.