Zementis for IBM z Systems Modernization Guide

Zementis for IBM z Systems allows users to deploy and execute predictive models described in PMML (Predictive Model Markup Language). Common operations include model deployment, scoring data against deployed models, retrieving model performance metrics, and managing model versions.

The product exposes REST APIs for model management and scoring. Configuration files are used to define data source connections and system parameters. A web-based interface is available for monitoring and administration.

Zementis for IBM z Systems integrates with Apache Spark on z/OS. It leverages the z/OS platform for data access and processing. It can also integrate with other z/OS applications through its REST API.

The product exposes REST APIs for model deployment and scoring. An example endpoint for scoring is `/model/{modelName}/score`. The API accepts data in JSON format and returns predictions.

Zementis for IBM z Systems supports integration with Java, Python, and other languages that can interact with REST APIs. SDKs may be available for specific languages.

The system components communicate via REST APIs and internal messaging queues. Data access is performed using standard z/OS data access methods.

Zementis for IBM z Systems uses standard HTTP/HTTPS protocols for communication. Specific ports depend on the configuration, but common ports include 80 (HTTP) and 443 (HTTPS).

Zementis for IBM z Systems enables organizations to leverage their existing z/OS infrastructure for predictive analytics. This can improve decision-making, optimize processes, and reduce costs.

By deploying models on z/OS, organizations can reduce data movement and latency, improving the performance of predictive applications. It also allows for tighter integration with existing z/OS applications.

The product supports PMML, a standard format for representing predictive models. This allows organizations to use models developed in various tools and deploy them on z/OS.

Zementis for IBM z Systems supports authentication methods such as LDAP, SAML 2.0, and X.509 certificates. These methods allow for integration with existing security infrastructure.

The product uses Role-Based Access Control (RBAC) to manage user permissions. Users are assigned roles, and roles are granted specific permissions to access resources and perform actions.

Encryption is used to protect sensitive data both in transit and at rest. HTTPS is used for secure communication, and data at rest can be encrypted using z/OS encryption facilities.

Zementis for IBM z Systems provides audit logging capabilities to track user activity and system events. These logs can be used for security monitoring and compliance purposes.

The product provides a web-based administrative interface for managing users, configuring system parameters, and monitoring system health. A command-line interface (CLI) may also be available.

User management is handled through the administrative interface. Administrators can create, modify, and delete user accounts, as well as assign roles and permissions.

Zementis for IBM z Systems provides monitoring and logging capabilities to track system performance and identify potential issues. Logs can be accessed through the administrative interface or exported for analysis.