In the news
Canary rollouts: upgrade models in production without downtime
Together AI · Published · 3 min read
In 30 seconds
- What happened
- Together AI released canary rollouts for model swaps in production, moving traffic in stages with automatic health checks and metric gates to catch regressions before full cutover.
- Why it matters
- Matters for engineers running models in production who need to upgrade to new checkpoints or model families without downtime or customer-facing failures.
- Watch out
- Canary rollouts require metric data collection and careful gate configuration; misconfigured gates or missing metrics can pause rollouts and require manual intervention to proceed.
- inference
The patterns behind this
- Progressive Rollout & Shadow Mode
- Durable Execution & Checkpointing
- Agentic Context Engineering (Evolving Playbook)
Each one covers how the technique works, when it earns its cost, and where it breaks.
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