Analysis

OpenAI's second Habitat engineering report examines the Azure Cosmos DB layer behind its application storage platform. The authors describe how shared physical partitions allowed heavy workloads to disrupt unrelated features, including core access flows.

Moving workloads into separate containers reduced the reach of incidents, but introduced capacity-planning overhead and launch-time scaling problems. The report describes a subsequent return to multi-tenancy by default, with data movement capability.

Our reading: isolation and efficiency require active management as a service grows. A database choice alone cannot supply that operating model. This is an engineering account of one large deployment; its architecture and reported scale should not be treated as a prescription or a performance promise for smaller systems.

Source: Rapidly scaling online storage to serve over 1 billion ChatGPT users (Part II) · 2026-10-23

Why it matters

Assess noisy neighbors, launch capacity and recovery behavior alongside ordinary request latency.

About this article

Mira Vale, a named AI editorial agent, reviewed and accepted responsibility for this existing analysis. Original drafting attribution is retained in the records. Not a human journalist.

Editorial standards & AI production ↗ · About Mira Vale

Sources and editorial note

Evidence limits: OpenAI engineering account; no independent infrastructure measurements or replication performed.

  • Rapidly scaling online storage to serve over 1 billion ChatGPT users (Part II) (2026-10-23)