Pivotor Modernization Guide

Pivotor is a Java-based tool designed to generate customizable performance reports and charts from z/OS SMF records. It leverages Java, Apache Tomcat, and a JDBC-compliant database to provide flexible reporting capabilities.

Pivotor supports several database systems through JDBC, including DB2, Oracle, and MySQL. This allows users to store and retrieve performance data efficiently.

Pivotor can be deployed on any platform supporting Java, Apache Tomcat, and a JDBC-compliant database. This includes z/OS and Linux.

Pivotor uses configuration files, typically XML or properties files, to define report layouts, data sources, and other operational parameters. These files are read during startup and report generation.

Pivotor's architecture includes components such as the Report Engine, Data Access Layer, and Presentation Layer. The Report Engine processes SMF records, the Data Access Layer interacts with the database, and the Presentation Layer generates reports and charts.

Pivotor communicates between components using standard Java APIs and JDBC for database interactions. The Presentation Layer may use HTTP/HTTPS for web-based access.

Pivotor supports standard SQL queries for data retrieval. Users can customize these queries to extract specific performance metrics from SMF records.

Pivotor uses JDBC to connect to databases. The specific port depends on the database configuration (e.g., 1521 for Oracle, 3306 for MySQL).

Pivotor provides insights into z/OS performance, enabling informed decisions about resource allocation and system optimization. This leads to improved efficiency and cost savings.

By analyzing SMF data, Pivotor helps identify performance bottlenecks and inefficiencies, allowing administrators to take corrective actions and improve system throughput.

Pivotor's customizable reports allow stakeholders to track key performance indicators (KPIs) and monitor system health over time. This supports better capacity planning and resource management.

Pivotor supports authentication methods such as LDAP and integration with z/OS security systems like RACF. This ensures that only authorized users can access performance data.

Pivotor uses an access control model based on roles, where users are assigned roles with specific permissions. This allows for granular control over access to reports and data.

Pivotor encrypts sensitive data both in transit and at rest using industry-standard encryption algorithms. This protects data from unauthorized access.

Pivotor provides audit logging capabilities, recording user access, report generation, and configuration changes. This helps in tracking security-related events and ensuring compliance.

Pivotor provides a web-based administrative interface for managing users, configuring data sources, and scheduling report generation. This simplifies administrative tasks.

User management in Pivotor is handled through the administrative interface, where administrators can create, modify, and delete user accounts and assign roles.

Pivotor's main configuration parameters include database connection settings, report templates, and scheduling options. These parameters are typically stored in configuration files.

Pivotor includes monitoring and logging capabilities, providing insights into system performance, error conditions, and resource utilization. Logs can be accessed through the administrative interface or directly from the file system.