### Problem to solve GitLab's compliance features require thorough testing across large-scale environments to ensure performance and reliability. The current testing approach faces several limitations when dealing with thousands of projects and groups: - Limited test data scale - Time-consuming test setup - Resource intensive test environments - Difficulty in simulating real-world scenarios - Performance bottlenecks identification ### Proposal 1. Create a robust data generation framework that can quickly spawn: - Thousands of groups with nested hierarchies - Projects with varied sizes and configurations - User accounts with different permission levels - Compliance-relevant artifacts and audit events - Merge requests and compliance approvals - Policy configurations at scale 2. Create data Templates - Define templates for different organization structures - Create industry-specific compliance scenario templates - Support custom template creation for specific testing needs - Include varied compliance rule configurations 3. Determine baseline performance metrics and monitoring - Response times for compliance-related operations - Report generation time - Database query performance - Memory usage patterns <!-- triage-serverless v3 PLEASE DO NOT REMOVE THIS SECTION --> *This page may contain information related to upcoming products, features and functionality. It is important to note that the information presented is for informational purposes only, so please do not rely on the information for purchasing or planning purposes. Just like with all projects, the items mentioned on the page are subject to change or delay, and the development, release, and timing of any products, features, or functionality remain at the sole discretion of GitLab Inc.* <!-- triage-serverless v3 PLEASE DO NOT REMOVE THIS SECTION -->