A deployable archive contains compiled MATLAB code to deploy on a MATLAB Production Server™ instance. You generate a deployable archive using either the Production Server Compiler app or the command line compiler.
|Production Server Compiler||Package MATLAB programs for deployment to MATLAB Production Server|
|Create a persistence service controller object|
|Start a persistence service and attach it a to MATLAB session|
|Stop a persistence service and detach it from a MATLAB session|
|Restart a persistence service and attach it to a MATLAB session|
|Connect a MATLAB session to a persistence service that is already running|
|Disconnect MATLAB session from a persistence service that is already running|
|Test whether the persistence service is reachable|
|Version number for persistence provider|
|Connect to cache, or create a cache if it doesn't exist|
|Return the number of bytes of storage used by value stored at each key|
|Remove all keys and values from cache|
|Write all locally modified keys to the persistence service|
|Fetch values of keys from cache|
|Get the value of a public cache property|
|Determine if the cache contains specified keys|
|Get all keys from cache|
|Number of key-value pairs in the data cache|
|Flush all local data to the persistence service|
|Write key-value pairs to cache|
|Remove keys from cache|
|Store remote keys from cache locally or return locally stored keys|
Package MATLAB applications into deployable archives using the Production Server Compiler app.
Package MATLAB applications into deployable archives from the command line using the
Persist data between calls to a server instance.
Example to calculate the shortest possible route between cities using persistence and MATLAB Production Server RESTful API.
Best practices for writing MATLAB code when deploying to MATLAB Production Server.
Dealing with MATLAB functions that carry state.
How to include MEX files when deploying MATLAB functions.
List of unsupported MATLAB data types.
How to modify and redeploy MATLAB functions.