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Docs update for PR #5 on ray-test #10

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Docs update for PR #5 on ray-test #10

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9684933
Docs update (ee0512a)
promptless[bot] Nov 19, 2024
74e064d
Revert previous docs update
promptless[bot] Nov 19, 2024
74875ee
Revert previous docs update
promptless[bot] Nov 19, 2024
b955cdf
Docs update (ee0512a)
promptless[bot] Nov 19, 2024
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1 change: 1 addition & 0 deletions doc/source/serve/advanced-guides/dev-workflow.md
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Expand Up @@ -12,6 +12,7 @@ Benefits:

- Self-contained Python is convenient for writing local integration tests.
- No need to deploy to a cloud provider or manage infrastructure.
- Supports a `_local_testing_mode` for faster development iterations and testing.

Drawbacks:

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1 change: 1 addition & 0 deletions doc/source/serve/develop-and-deploy.md
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Expand Up @@ -6,6 +6,7 @@ The flow for developing a Ray Serve application locally and deploying it in prod

* Converting a Machine Learning model into a Ray Serve application
* Testing the application locally
* Use `serve.run` with the `_local_testing_mode` flag for unit testing your application logic. This allows for faster iterations by running deployments in-process.
* Building Serve config files for production deployment
* Deploying applications using a config file

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