Welcome! We are excited you want to learn about ModelOp Center.
This guide introduces the core micro services that compose ModelOp Center, and explains the structure for the ModelOp Center Documentation Hub to help you find the information you need. If you have any questions, please click here reach out to the ModelOp Team.
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ModelOp Center (MOC) is composed of a set of flexible and extensible micro services that enable the consistent Deployment, Monitoring, and Governance of all analytical models, regardless of the model factory from which they were developed, the infrastructure upon /platform in which they run, or the consuming application.
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Model Manager: service that collects and persists all of the metadata, execution, and test results about a model. This service is backed by a MongoDB for persistence, and provides the production Model Catalog as well as all of the Model Details for each model.
MLC (model life cycle) Manager: service that orchestrates and manages all of the processes in a model’s entire historylife cycle, from registration, to promotion, to production, to monitoring, and eventual retirement.
ModelOp Runtime: language and framework-agnostic model execution runtime, allowing for models of all types to be executed in batch, streaming, or REST mode.
Gateway: service that provides secure entry into all other core ModelOp services.
Registry: registration service for all other micro services within ModelOp Center, enabling automatic registration of new instances of core ModelOp Center services as well as on-going monitoring and management of each service.
Reporting: flexible service to allow for reporting from MLC Manager as well as other internal and external runtimes and services.
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Model Factory Plugins: set of plugins into common model factories to enable easy registration and management of models that are created within those model factories. Jupyter is and RStudio are the main existing supported plugin.
Logstash: output from ModelOp services and instructions on how to configure logstash to write to your preferred location.
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