Control plane separation: 2 real scaling case studies
2 of the 73 engineering write-ups in our database are tagged with the technique "control plane separation". They come from 2 companies (Cloudflare and GitHub) and were published in 2026. 2 of the 2 state concrete scale numbers, for example "millions of databases" (Cloudflare). Each card below links to our short summary and the original post.
Under the hood, off the hot path: how D1 scales to millions of databases
How Cloudflare's D1 keeps query execution at the edge while a separate control plane manages millions of SQLite databases.
Building Git infrastructure for agent-scale development
GitHub explains why agent workloads strain Spokes, which keeps five durable copies of each repo on fileserver disks, so every added read replica slows writes. The new design coordinates only the ref update, moves compaction and GC to separate workers, and separates storage from compute: Azure Blob Storage holds the authoritative data while lightweight caching workers serve reads.