Product teams
- Predictable behaviour when a region is degraded
- Model swaps without a release
Second wave
Streaming assistants with residency that holds under load
Consumer-facing chat puts residency guarantees under real traffic, failover and pressure to answer instead of refuse.
- Fail-closed
- Under capacity pressure
- Streamed
- Response path
- Overview
- Coverage
Written at second wave
01
The problem
Chat failover risks
Failure mode 01
An on-call team may enable a cross-region fallback during an outage and leave it enabled.
Failure mode 02
Streaming makes partial-failure handling tempting to solve by widening the provider pool.
02
The approach
Fail-closed configuration
Measure 01
Fail-closed behaviour is configured before an incident.
Measure 02
Capacity is planned within the boundary, with headroom instead of spillover.
Measure 03
Streaming continues, and the request stays in-region.
03
Models for this workload
Starting points and serving regions
| Model | Provider | Context | Input, per 1M | Regions | Residency |
|---|---|---|---|---|---|
| MiniMax-M3 | MiniMax | 1M | $0.3 | unverified · ap-east-1 | Unguaranteed |
04
Who this is for
Audience
SRE and platform
- Capacity headroom as the primary mitigation
- Alerts on refusals as well as errors
Compliance
- A written refusal posture for review
- Evidence that no fallback ran
05
Other solutions
Other solutions
01
Enterprise RAG
Retrieval for data that must stay in the country
02
Multimodal
Images, audio and video under text's rules
03
Agentic systems
Long tool loops that stay inside a jurisdiction
04
Second waveCode assistance
Completions and refactors without exporting the repository
06
Second waveSearch
Ranking and reranking inside the same boundary as model output
Describe a different workload
Start