Rebuilding Git infrastructure must prioritize scaling object reads and minimizing latency for parallel agents - this is the core guidance from GitHub. Start with a load map: separate read traffic (caches, CDN, read replicas) from writes (metadata, authorization). Design an intermediate layer with object caches, support for partial-clone/sparse-checkout and prefetching so agents receive only required files.
Scaling introduces several operational issues: 1. cache inconsistency causing stale refs; 2. proxy/edge saturation during agent bursts; 3. credential escalation and leakage from agent-created tokens. Do not neglect metadata maintenance (garbage collection, ref pruning) and secure concurrent push handling to avoid conflicts.
If repositories include personal data or user logs, apply EU requirements - GDPR: document processing purposes, enforce retention limits and consider conducting a Data Protection Impact Assessment (DPIA) for large-scale processing. Provide access logs, data export controls and data processing agreements with cloud providers.
Planning Git infrastructure for agent-scale requires combining object-transfer optimizations, cache architecture and strict permission controls. Implementations should follow patterns described by GitHub and Microsoft, with explicit monitoring, load-testing and legal compliance plans.
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