VIP Local Development Environment limitations
Though the VIP Local Development Environment is designed to be as identical to a VIP Platform environment as possible, some features are not yet available in the local environment.
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Though the VIP Local Development Environment is designed to be as identical to a VIP Platform environment as possible, some features are not yet available in the local environment.
Similar to VIP Platform environments, the VIP Local Development Environment has container-based services. Some service containers may expose ports on the local machine.
Locations of WordPress VIP’s network of edge servers span the globe to efficiently store and serve content closest to an end user.
The Brotli compression and Gzip compression methods are both supported and are applied to the responses of qualifying requests.
During the final steps of a data sync from a production environment to a non-production environment the custom CLI command wp vip data-cleanup datasync
is run against the target environment.
Insights into the performance of responses to HTTP requests that are made to an environment can be reviewed in the Insights & Metrics panel, located in the application view of the VIP Dashboard.
Insights into the quality of performance of an environment’s infrastructure-level resources can be reviewed in the Insights & Metrics panel, located in the application view of the VIP Dashboard.
Insights into the size and health of an environment’s database can be reviewed the Insights & Metrics panel, located in the application view of the VIP Dashboard.
Insights into an application’s utilization of the VIP Platform’s caching layers can be reviewed in the Insights & Metrics panel, located in the application view of the VIP Dashboard.
Smart Linking is an opt-in AI-powered feature of Parse.ly Content Intelligence. The feature is designed to quickly locate related links for a post’s content and add those links within the block editor. The Smart Linking feature searches a site’s historical catalog of content to locate the most semantically relevant and high performing posts, then automatically embeds them within the most relevant text of a post or page.