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Enterprise Deployment with MATLAB Production Server

Run MATLAB^® code on a server and access it using various clients

MATLAB Production Server™ let's you run MATLAB functions on a server and access them via client applications. You create applications in MATLAB, package them using the Production Server Compiler app in MATLAB Compiler SDK™, and deploy them to the MATLAB Production Server. Deployed packages can be accessed by client applications written in Java^®, .NET, Python^®, C and C++ using client-specific libraries or through a HTTP/HTTPS endpoint using the RESTful API.

For information on how to write client applications using the RESTful API, Java, .NET, Python, C and C++, see Client Programming (MATLAB Production Server).

Apps

Production Server Compiler

Package MATLAB programs for deployment to MATLAB Production Server

Functions

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Deployable Archive

productionServerCompiler Test, build and package functions for use with MATLAB Production Server

RESTful API JSON Encode and Decode

`mps.json.encode`	Convert MATLAB data to JSON text using MATLAB Production Server JSON schema
`mps.json.decode`	Convert a character vector or string in MATLAB Production Server JSON schema to MATLAB data
`mps.json.encoderequest`	Convert MATLAB data in a server request to JSON text using MATLAB Production Server JSON schema
`mps.json.decoderesponse`	Convert JSON text from a server response to MATLAB data

Persistence

Controller

`mps.cache.control`	Create a persistence service controller object
`start`	Start a persistence service and attach it a to MATLAB session
`stop`	Stop a persistence service and detach it from a MATLAB session
`restart`	Restart a persistence service and attach it to a MATLAB session
`attach`	Connect a MATLAB session to a persistence service that is already running
`detach`	Disconnect MATLAB session from a persistence service that is already running
`ping`	Test whether the persistence service is reachable
`version`	Version number for persistence provider

Cache

`mps.cache.connect`	Connect to cache, or create a cache if it doesn't exist
`bytes`	Return the number of bytes of storage used by value stored at each key
`clear`	Remove all keys and values from cache
`flush`	Write all locally modified keys to the persistence service
`get`	Fetch values of keys from cache
`getp`	Get the value of a public cache property
`isKey`	Determine if the cache contains specified keys
`keys`	Get all keys from cache
`length`	Number of key-value pairs in the data cache
`purge`	Flush all local data to the persistence service
`put`	Write key-value pairs to cache
`remove`	Remove keys from cache
`retain`	Store remote keys from cache locally or return locally stored keys

Mutex

`mps.sync.mutex`	Create a persistence service mutex
`acquire`	Acquire advisory lock on persistence service mutex
`own`	Check ownership of advisory lock on a persistence service mutex object
`release`	Release advisory lock on persistence service mutex

Objects

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Persistence

`mps.cache.Controller`	Manage the life cycle of a persistence service in a MATLAB testing environment
`mps.cache.DataCache`	Represent cache concept in MATLAB code
`mps.sync.TimedMATFileMutex`	Represent a MAT-file persistence service mutex
`mps.sync.TimedRedisMutex`	Represent a Redis persistence service mutex

Topics

Deployable Archive Creation

Create a Deployable Archive for MATLAB Production Server

Learn how to create a deployable archive for MATLAB Production Server using a MATLAB function.

Client Prototypes

Create a Java Client

Learn how to call a MATLAB function deployed to MATLAB Production Server from a Java application.

Create a C# Client

Learn how to call a MATLAB function deployed to MATLAB Production Server from a C# application.

Create a Python Client

Learn how to call a MATLAB function deployed to MATLAB Production Server from a Python application.

Create a C++ Client

Learn how to call a MATLAB function deployed to MATLAB Production Server from a C++ application.

Testing

Test Client Data Integration Against MATLAB

Testing the integration code used by your client against MATLAB provides tools for seeing the data that is passed into the MATLAB function

Excel Add-Ins

Create and Install a Deployable Archive with Excel Integration For MATLAB Production Server

Learn how to create a deployable archive with Excel^® integration for MATLAB Production Server using a MATLAB function.

MATLAB Compiler SDK Documentation

Support

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