IntelliMagic Vision for z/OS allows users to view their z/OS data from the application perspective. It recognizes applications and z/OS components like Db2, IMS, CICS, MQ and VSAM RLS, and provides insight in the workloads that keep the mainframe busy.
Application Centric Reporting
IntelliMagic Vision correlates applications with resources and transactions, providing application centric reporting for regular SMF data. It makes it a lot easier for the z/OS infrastructure staff to understand which applications are using resources like the Coupling Facility and XCF and it gives insight in what might cause delays at the application level.
Understand Application Behavior
The application view is also very helpful to understand application behavior: to assess whether the processor, storage, Coupling Facility etc. load is indeed as expected. If not, this may be a symptom of a wrong configuration setting causing z/OS or the application to perform too much work, or it may point to an inefficiency in the application. In many cases, such issues are easy to fix once identified.
Application reports are specific to the data source. For example, an application report on Coupling Facility Structures will focus on the Coupling Facility usage of the application, and a separate report will show e.g. XCF data.
The following data sources are supported by the application group mechanism:
- Data sets
- Coupling Facility Structures
- Volumes (devices)
- XCF members
- Service Classes
- Report Classes
- TCP/IP Network Traffic
For each of these data sources default rules are provided to highlight activity from many zOS components.
Built-in and Site-Specific Reports
First of all, IntelliMagic Vision for z/OS provides reports that break down the overall activity by application. This gives you immediate insight in the resource consumption from your major workloads. The processor, I/O, Coupling Facility and XCF messaging activity will be broken down by application.
IntelliMagic Vision also allows you to add your site-specific rules to create insightful reports that match the way you run your business. These rules will not cover everything that matters to your specific site, e.g. it may group test and production CICS regions together, but it should give a good starting point for further customization.
Health Insights and Change Detection
To help enhance the value you can derive from that SMF data, IntelliMagic Vision provides two complementary types of automated anomaly detection: health insights and change detection.
CICS Max Tasks: Automated Change Detection Use Case 7
Change Detection and Health Assessments (based on pre-defined best practice conditions) play complementary roles, but there can be scenarios where they both flag issues. This use case with CICS Max Tasks is one such example.
Batch Job Elapsed Time: Automated Change Detection Use Case 6
Elapsed and CPU times can be of interest for batch jobs, especially those on the critical path for key business job cycles. This use case reflects an abnormally long run time for a daily batch job, and illustrates how potential causes might be investigated.