- Build new functionality in a development model, test in a realistic testing model, and then release an update to a production model—without affecting production users.
- Use separate workspaces for each model to isolate your development, testing, and production life stages in order to have full control over individual environments.
- Achieve model synchronization through formal revision control by leveraging the tagging of model changes.
- Securely manage production lists by identifying structural data that needs to change in the deployment environment without risking an overwrite.
- Synchronize online and offline models without affecting end-users or introducing unwanted changes. Model synchronization enables users to compare structural changes between models.
- Sanitize the production environment by locking down structural data through revision tags and segregating test environments.
- Deploy a large number of changes simultaneously, from development to production environments.
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