MATLAB Production Server0 pages

MATLAB Production Server
Run MATLAB analytics as a part of web, database, and enterprise applications
MATLAB Production Server™ lets you run MATLAB® programs within your production systems, enabling you to
incorporate custom analytics in enterprise applications. Web, database, desktop, and enterprise applications
request MATLAB analytics running on MATLAB Production Server via a lightweight client library. A
server-based deployment ensures that users access the latest version of your analytics automatically, with client
connections that can be protected with SSL encryption.
You use MATLAB Compiler™ to package programs and deploy them directly to MATLAB Production Server
without recoding or creating custom infrastructure. MATLAB Production Server runs on multiprocessor and
multicore servers, providing low-latency processing of concurrent work requests. You can deploy the product on
additional server nodes to scale capacity and provide redundancy.
Key Features
▪ Production deployment of MATLAB programs without recoding or creating custom infrastructure
▪ Scalable performance and management of MATLAB analytics and run times
▪ Lightweight client library for secure access to analytics by enterprise applications
▪ Centralized analytic service accessible from .NET, Java®, C/C++, and Python environments
▪ Microsoft® Excel® add-ins for calling remote analytics using MATLAB Builder™ EX
▪ Isolation of MATLAB processes from other system elements

Running MATLAB analytics as a part of web, database, and enterprise applications.

Production Deployment of MATLAB Programs
MATLAB Production Server is the run-time framework for integrating MATLAB based analytics into enterprise
applications. It manages the running of MATLAB analytics and MATLAB run times in response to large numbers
of concurrent work requests from enterprise systems such as databases, web servers, and application servers.
When used together, MATLAB, MATLAB Compiler, and MATLAB Production Server enable the rapid
development of custom analytics, their integration into enterprise applications, and their deployment within
production environments.

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