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Maintenance and deployment practices used in AEP


Level 3


I have few queries on maintenance and deployment practices. Any detailed document will really help.


  • Do we have any standard practices to maintain AEP instance and sandboxes?
  • What are the activities that are carried out as part of maintenance and how frequent? 
  • Do we have any dashboard to monitor the health of AEP instance and sandboxes?
  • How we move changes from development sandbox to production sandbox?
  • In case of DS workspace, how we maintain the code version for jupyterLab notebook? Is it possible to use any SCM tool like GIT or any IDE plugin to integrate with IDE's?




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2 Replies



Hi @vikash4 ,

These are really good questions. Are you asking from a data engineering perspective? I'm not aware of a comprehensive guide on this topic, but some of the related features:



Level 3

Hi @dwright-adobe,

 DSW and Git this answers my last question related to managing code versions & integrating JupyterLab with SCM tool. Thanks for sharing.