Paths/AI Engineer/LLMOps / Deploying & Rolling Out Models
Plan a Canary Rollout
Never swap a model in one step. Send a slice of the traffic to the candidate, watch the metrics, and know exactly when to roll back.
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01Requirements
live checks- File ~/llmops/canary.yaml exists○
- The config names the baseline and the candidate○
- The config splits the traffic between them○
- The config states the rollback criteria○
02Walkthrough
1 of 4 revealed- 01
Create the llmops directory
Rollout plans live with the rest of the deployment configuration.
mkdir ~/llmops - 3 locked · each failed submit reveals one
03Stuck?
0 of 3 revealedTake a hint without losing the lab — each one points at the thing to look at, not at the answer.
04AI Tutor
guides, never solvesTell me what you're stuck on — I'll nudge, not solve. Which requirement are you looking at?
04Notebook
saved locally in this browserlearner@lab — ubuntu:24.04
Session is disposable
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