[Task]: Provide a guidance for users that explicitly recommends users to manage all dependencies of their pipeline that allow version pinning and controlled updates to prevent breakages.

[tvalentyn]

What needs to happen?

Related pages: https://beam.apache.org/documentation/sdks/python-pipeline-dependencies/

Ideas to expand on:

• users should have a way to create a reproducible virtual environments for launching their production pipelines.

• To match runtime environment with submission environment, beam can be pip-installed with a --constraint option and files like: https://raw.githubusercontent.com/apache/beam/release-2.45.0/sdks/python/container/py37/base_image_requirements.txt . See also: https://airflow.apache.org/docs/apache-airflow/stable/installation/installing-from-pypi.html

Issue Priority

Priority: 2 (default / most normal work should be filed as P2)

Issue Components

• Component: Python SDK
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• Component: IO connector
• Component: Beam examples
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• Component: Beam katas
• Component: Website
• Component: Spark Runner
• Component: Flink Runner
• Component: Samza Runner
• Component: Twister2 Runner
• Component: Hazelcast Jet Runner
• Component: Google Cloud Dataflow Runner

[tvalentyn]

Subtask of #25652

[tvalentyn]

Also recommend pip users to upgrade pip in our user guides.