Add support for DEV, TEST and PROD environments

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Assessment

Difficulty
5/5
Estimated time
Over a week
Newbie friendliness
25/100
Issue type
Feature
Clarity
Needs clarification
Activity status
Stale
Tech stack
azure, python
Domain
cloud, devops

Research direction

Start by locating the deployment and pipeline entry points in this Python accelerator and reading how Azure ML and Azure DevOps jobs are configured. Define how DEV, TEST, and PROD targets should be selected for jobs or pipelines, then verify that each environment can be deployed through the supported workflow.

Written by the indexing model from the issue text.

Description

Most customers will want to have DEV, TEST and PROD environments. This accelerator should support deploying to different environments. The environment target should be configurable and selectable when running jobs / pipelines.

Dominant language
Python
Stars
33
Forks
17
No merged PRs in 30d

Contributor guide

Open the contributing guide

First steps

  1. Read the whole issue, then the project's contributing guide.
  2. Comment on the issue to say you are picking it up — it saves two people doing the same work.
  3. Fork the repository and make your change on a branch.
  4. Open a pull request that references the issue number.

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