Jason Lantz’s Post

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CEO @ MuseLab | Former Sr. Dir RelEng @ Salesforce.org | Creator of D2X, CumulusCI and Cumulus Suite | I’m passionate about the fun nuances of DevOps for ISV-style Salesforce Products at massive scale

More fun with investigating Salesforce's Settings metadata objects... Out of roughly 127 Settings metadata types I've now been experimenting with, two Settings types account for 84% of the total memory used when parsing all retrieved org settings types to a JSON data structure. Can you guess the culprits? AddressSettings and ForecastingSettings I'll confess those are areas of the platform I don't have a ton of experience with, but it seems rather crazy for that much configuration to have to get duplicated to each Salesforce org? Here's the data...

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Michael Leach

Document Process Automation / Generative AI / GPT for Salesforce

2w

Is the JSON transform really necessary? As an ISV, we have a first principle to build processes around native formats (XML) and APIs (MDAPI).

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