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DataOpsWeek - Continuous delivery

Started ‎03-01-2024 by
Modified ‎03-01-2024 by
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Introduction

 

In January 2024, we held a #DataOpsWeek event with the aims of showcasing our work, learning from our colleagues and building the SAS DataOps community. Each day had a theme, based on Alexey Vodilin's 5 pillars for a successful DataOps strategy blog. Our third theme of the week was " Continuous delivery".

 

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Continuous delivery

 

Alexey says:

"Finally, the speed and quality of content promotion between development and production environments are crucial in accelerating the analytics lifecycle. Implementing an automated continuous integration/continuous delivery (CI/CD) approach (in cooperation with testing automation) reduces the time needed to deliver and embed data pipelines, machine learning models and decisions into production and reduces the probability of errors caused by manual interventions.

 

Though automation is crucial here it should also be possible to incorporate the functionality of manual approvals and enable additional validation as part of this process. The ability to version continuous delivery pipelines should also be supported."

 

Top Continuous delivery resources 

 

Webinar:

DevOps:

Azure DevOps:

Bitbucket:

SAS Studio:

SAS Viya CLI:

SAS Visual Analytics:

ModelOps:

SAS Container Runtime:

 

Summary

 

The day brought us many interesting discussions about automation, the reasons why we do it, or why we still choose to apply changes manually (we’d love to hear about your experiences!), and lots of useful content to help you build your own pipelines. But to sum up the day, I’ll borrow Jan Kostrubiec’s advice:

 

tip01 2.png

 

You can find resources from our other DataOpsWeek themes here:

  1. Collaboration
  2. Orchestration 
  3. Continuous delivery (this blog)
  4. Testing automation
  5. Environmental management
Version history
Last update:
‎03-01-2024 07:22 AM
Updated by:

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