Automating product deprecation

Automating product deprecation

摘要

At Meta, we are constantly innovating and experimenting by building and shipping many different products, and those products comprise thousands of individual features. As part of this healthy technology lifecycle, it is inevitable that certain products or features will be deprecated. For example, in 2015 we launched a photo-sharing app called Moments, which was later deprecated in 2019. So, how did we efficiently and safely remove all of the code and data related to Moments without adversely affecting Meta’s other products and services?

In this three-part blog series, we will discuss the complexities involved in removing a product from a complex portfolio of products and the framework Meta has built to drive the automation of this process, our Systematic Code and Asset Removal Framework (SCARF). SCARF has had an important impact at Meta. In the last year, it has removed petabytes of unused data across 12.8M different data types stored in 21 different data systems. Over the last five years it has deleted over 100M lines of code.