Elis E.

Supposing i have 2 different instances of phoenix (at 2 different links, with 2 different app databases, etc.) called which I will call "good instance" and "bad instance". What would be the quickest way to migrate all of the app data (experiments, datasets, API keys, etc.) from the "good instance" to the "bad instance"? (it can overwrite everything in the bad instance if need be)

does phoenix have some feature or concept similar to model serving in MLflow? e.g. once i have defined a task (https://arize.com/docs/phoenix/datasets-and-experiments/how-to-experiments/run-experiments) and i am happy with its performance on my evaluators, datasets, etc. i want to deploy this task to a production environment. Currently i am just wrapping this (usually a call to an API like gemini, inc. pre defined structured output, prompt, temperature, other config, etc.) in a docker container and deploying to something like ECS or Lambda. But i'm wondering if there's a "proper" way phoenix recommends for doing this, if there's any features for it, etc.