What were some common commands or operations users performed?

Capacity Management Analytics relied on the underlying capabilities of Tivoli Decision Support, Cognos, and SPSS. Specific commands would vary depending on the component being used. For example, in Tivoli Decision Support, users might use commands to define reports, schedule data extracts, and manage users.

What were the main system components and how did they communicate?

The architecture included components such as the data warehouse, ETL processes, reporting engine (Cognos), and modeling engine (SPSS). These components communicated through standard protocols and APIs. The data warehouse typically used a relational database such as DB2.

What types of APIs did this product expose?

Capacity Management Analytics did not expose a public-facing API in the modern sense (REST, etc.). Integration was typically achieved through data exchange with the underlying components (Tivoli Decision Support, Cognos, SPSS).

How did Capacity Management Analytics provide business value?

By providing insights into resource utilization and performance bottlenecks, Capacity Management Analytics helped organizations optimize their z/OS environments. This could lead to reduced hardware costs, improved application performance, and better service levels.

How did the product assist with capacity planning?

The product helped organizations make data-driven decisions about capacity planning and resource allocation. By identifying trends and predicting future resource needs, it enabled proactive management of the z/OS environment.

How was security handled in Capacity Management Analytics?

Security was primarily handled by the underlying components (Tivoli Decision Support, Cognos, SPSS). These products supported various authentication methods, including LDAP and integration with z/OS security systems such as RACF, ACF2, and Top Secret.

What access control model was used?

Access control was typically role-based (RBAC), with users assigned to roles that defined their permissions within the system. Audit logging was available to track user activity and system events.

What were the main administrative tasks?

Administration involved configuring the various components (Tivoli Decision Support, Cognos, SPSS), managing users and permissions, and scheduling data extracts and reports. Monitoring capabilities were provided by the underlying platforms.

What monitoring and logging capabilities existed?

The product relied on the logging capabilities of the underlying components. Logs could be used to troubleshoot issues, monitor system performance, and track user activity.

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Capacity Management Analytics

Name: Capacity Management Analytics
Availability: InStock

IBM Not Supported z/OS

Report Generation and Management Usage Accounting/SMF

Vendor

IBM

Product Overview

Capacity Management Analytics was designed with a multi-tiered architecture. The core components included a data warehouse (typically DB2), ETL processes for data transformation, a Cognos reporting engine for generating reports and dashboards, and an SPSS modeling engine for predictive analysis. Data flowed from SMF records through the ETL processes into the data warehouse.

Cognos and SPSS then accessed the data warehouse to perform their respective functions. Security was inherited from the underlying components, with support for LDAP and integration with z/OS security systems like RACF. The product did not expose a modern API; integration relied on data exchange with the underlying components.

Given that the product is no longer supported, organizations should consider migrating to alternatives like IntelliMagic Vision or BMC AMI Capacity Management. The migration should address data migration, report recreation, and security considerations.

Frequently Asked Questions

What kind of reporting did Capacity Management Analytics provide?

Capacity Management Analytics provided historical reporting, trend analysis, and forecasting of z/OS systems. It leveraged data from SMF records to identify resource bottlenecks and optimize system performance. Reports could be generated on CPU utilization, storage consumption, and network activity.

What technologies were used for reporting and analytics?

The product used Tivoli Decision Support as its base reporting engine. It also incorporated Cognos 8 Business Intelligence for advanced analytics and visualization. IBM SPSS Modeler was used for predictive modeling and forecasting.

How did Capacity Management Analytics handle data extraction and transformation?

Capacity Management Analytics supported data extraction from SMF records. It used predefined data models and ETL processes to transform the raw data into a usable format for reporting. Users could customize reports and dashboards to meet their specific needs.

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Capacity Management Analytics

Product Overview

Frequently Asked Questions

What kind of reporting did Capacity Management Analytics provide?

What technologies were used for reporting and analytics?

How did Capacity Management Analytics handle data extraction and transformation?

What were some common commands or operations users performed?

What were the main system components and how did they communicate?

What types of APIs did this product expose?

How did Capacity Management Analytics provide business value?

How did the product assist with capacity planning?

How was security handled in Capacity Management Analytics?

What access control model was used?

What were the main administrative tasks?

What monitoring and logging capabilities existed?

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