History
System, Operational, and Transactional
Enhanced Definition
Key Characteristics
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- Structured Logging: Data is typically recorded in specific, predefined formats (e.g.,
SMF records,CICS journals,DB2 logs) to facilitate efficient processing, analysis, and reporting. - Time-Stamped: Each historical record includes precise timestamps, enabling chronological analysis, correlation of events across different system components, and accurate sequencing of operations.
- Persistent Storage: Historical data is written to persistent storage (typically
DASDortape) to ensure its availability for post-event analysis, long-term retention, and compliance requirements. - Configurable Granularity: The level of detail recorded can be configured by system administrators, ranging from high-level system metrics to granular transaction-level details, balancing data richness with storage overhead.
- Voluminous Data Generation: Mainframe systems generate vast amounts of historical data, necessitating robust data management strategies, including efficient collection, offloading, and archival processes.
- Immutability (for Audit Trails): For critical audit and integrity purposes, many historical records (e.g., security logs, financial transaction journals) are designed to be append-only, tamper-resistant, and non-modifiable.
- Structured Logging: Data is typically recorded in specific, predefined formats (e.g.,
Use Cases
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- Performance Tuning and Optimization: Analyzing
SMFandRMFdata to identify system bottlenecks, optimize resource allocation, and improve application response times and throughput. - Problem Determination and Diagnostics: Correlating events across
SYSLOG,JES job logs,CICS dumps,DB2 logs, and application logs to diagnose and resolve system or application failures. - Auditing and Compliance: Reviewing
RACFsecurity logs, transaction journals, and system access records to ensure adherence to security policies and regulatory requirements (e.g., SOX, GDPR). - Capacity Planning: Utilizing long-term historical resource utilization data (CPU, I/O, memory) to forecast future hardware and software needs and justify infrastructure upgrades.
- Chargeback Accounting: Tracking resource consumption by specific users, applications, or departments to facilitate accurate cost allocation and billing within an enterprise.
- Performance Tuning and Optimization: Analyzing
Related Concepts
Historical data is fundamental to the operation and management of z/OS. It is generated by core system components like JES (job logs), SMF (System Management Facilities), and RMF (Resource Measurement Facility), as well as major subsystems such as CICS, DB2, and IMS (which produce detailed transaction logs