Enterprise Deployment withMATLABProduction Server

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

MATLAB Production Server™lets you run MATLAB functions on a server and access them via client applications. You create applications in MATLAB, package them using theProduction Server Compilerapp or thecompiler.build.productionServerArchivefunction inMATLAB Compiler SDK™, and deploy them to theMATLAB Production Server. You can also create microservice Docker^®images using thecompiler.package.microserviceDockerImagefunction. Access deployed packages through client applications written in Java^®, .NET, Python^®, C, or C++ using client-specific libraries, or through HTTP/HTTPS requests using the RESTful API.

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

Apps

Production Server Compiler

包MATLABprograms for deployment toMATLABProduction Server

Functions

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App Launcher

`productionServerCompiler`	Test, build and package functions for use withMATLABProduction Server
`deploytool`	Open a list of application deployment apps

Deployable Archive

`compiler.build.productionServerArchive`	Create an archive for deployment toMATLABProduction ServerorDocker
`compiler.build.ProductionServerArchiveOptions`	Options for building deployable archives
`compiler.build.excelClientForProductionServer`	CreateMicrosoftExceladd-in forMATLABProduction Server
`compiler.build.ExcelClientForProductionServerOptions`	Options for buildingExceladd-ins
`compiler.build.Results`	Compiler build results object
`mcc`	CompileMATLABfunctions for deployment

Microservices

`compiler.build.productionServerArchive`	Create an archive for deployment toMATLABProduction ServerorDocker
`compiler.build.ProductionServerArchiveOptions`	Options for building deployable archives
`compiler.package.microserviceDockerImage`	Create a microserviceDockerimage using files generated byMATLABCompiler SDKonLinuxoperating systems
`compiler.package.MicroserviceDockerImageOptions`	Create a microserviceDockeroptions object
`compiler.build.Results`	Compiler build results object

RESTful API JSON Encode and Decode

`mps.json.encode`	ConvertMATLABdata to JSON text usingMATLABProduction ServerJSON schema
`mps.json.decode`	Convert a character vector or string inMATLABProduction ServerJSON模式MATLABdata
`mps.json.encoderequest`	ConvertMATLABdata in a server request to JSON text usingMATLABProduction ServerJSON schema
`mps.json.decoderesponse`	Convert JSON text from a server response toMATLABdata

RESTful API Metrics

`prodserver.metrics.incrementCounter`	CreatePrometheus`counter`metric
`prodserver.metrics.setGauge`	CreatePrometheus`gauge`metric

Persistence

Controller

`mps.cache.control`	Create a persistence service controller object
`start`	Start a persistence service and attach it a toMATLABsession
`stop`	Stop a persistence service and detach it from aMATLABsession
`restart`	Restart a persistence service and attach it to aMATLABsession
`attach`	Connect aMATLABsession to a persistence service that is already running
`detach`	DisconnectMATLABsession 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 aMATLABtesting environment
`mps.cache.DataCache`	Represent cache concept inMATLABcode
`mps.sync.TimedMATFileMutex`	Represent a MAT-file persistence service mutex
`mps.sync.TimedRedisMutex`	Represent aRedispersistence service mutex

Topics

Deployable Archive Creation

Create Deployable Archive for MATLAB Production Server
Learn how to package a MATLAB function into a deployable archive forMATLAB Production Server.

Microservices

Create Microservice Docker Image
包MATLAB code into a microservice Docker image.

MATLABProgramming to Support In-Memory Caching

Data Caching Basics
Set up the server to use Redis™, start a persistence service, and create a data cache.
管理应用程序lication State in Deployed Archives
This example describes testing and development workflows to cache data in application archives deployed to the server.

MATLABProgramming to Support Custom Metrics

Create Custom Prometheus Metrics
This example shows how to create custom Prometheus^®metrics on the server and retrieve them using the metrics service.

MATLABProgramming Guidelines

MATLAB Coding Guidelines
Best practices for writing MATLAB code when deploying toMATLAB Production Server.
State-Dependent Functions
Dealing with MATLAB functions that carry state.
Deploying MATLAB Functions Containing MEX Files
How to include MEX files when deploying MATLAB functions.
Supported MATLAB Data Types for Client and Server Marshaling
List of supported and unsupported MATLAB data types.
Modifying Deployed Functions
How to modify and redeploy MATLAB functions.

Client Applications

Create MATLAB Production Server Java Client Using MWHttpClient Class
Define an interface, instantiate a proxy object, and then call the deployed function.
Create a C# Client
Learn how to call a MATLAB function deployed toMATLAB Production Serverfrom a C# application.
Create a Python Client
Learn how to call a MATLAB function deployed toMATLAB Production Serverfrom a Python application.
Create a C++ Client
Learn how to call a MATLAB function deployed toMATLAB Production Serverfrom 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 forMATLAB Production Serverusing a MATLAB function.

Parallel Computing

Use Parallel Computing Resources in Deployable Archives
Pass a cluster profile to a deployable archive that uses Parallel Computing Toolbox™ orMATLAB Parallel Server™.

Troubleshooting Excel Add-Ins Deployed toMATLABProduction Server

XLA File Not Generated
Solution to.xlafile not being generated.
Server Configuration Add-in Not Enabled
Solution to enable Server Configuration add-in.
Error Using a Variable Number of Outputs
Solution to support variable number of outputs.