Configure an Argo Rollouts AnalysisTemplate with a Prometheus metric provider

Steps

1. Create an AnalysisTemplate resource with spec.metrics listing one or more metric definitions; each metric has a name, provider block, and success/failure conditions.
2. Under provider, add a prometheus block with address pointing to your Prometheus server URL and a query field containing a valid PromQL expression that returns a scalar or instant vector.
3. Set successCondition using Go template syntax (e.g., result[0] >= 0.95) and optionally failureCondition; set failureLimit to the number of consecutive failures before the analysis is marked failed.
4. Validate your PromQL expression in the Prometheus UI before embedding it in the template; Prometheus queries returning an empty vector require result handling in the condition (e.g., len(result) == 0 || result[0] >= 0.95).
5. Reference the AnalysisTemplate from a Rollout via spec.strategy.canary.analysis.templates or inline in a canary step using an analysis field.
6. Use kubectl argo rollouts get rollout <name> to observe AnalysisRun status and inspect individual metric results during a canary or blue-green promotion.