This webinar discusses and demonstrates the benefits of modernizing how you understand and leverage the SMF data for CICS and Db2 Performance analysis.
Mainframe performance analysts find themselves in the very fortunate position of having access to more extensive metrics than on any other platform but often find themselves facing an uphill battle trying to sift through gigabytes and terabytes of SMF produced daily at their sites. This task of deriving value from massive quantities of data can be particularly challenging for analysts charged with effectively analyzing CICS and Db2 performance from the SMF 110, 100, and 101 records.
This webinar will discuss and demonstrate the benefits of modernizing how you understand and leverage SMF data for CICS and Db2 Performance analysis. It will highlight how the IntelliMagic approach that automatically checks key metrics associated with the thousands of elements in your infrastructure can identify potential performance and availability issues before they impact production.
Vital insights can be derived through a user interface that enables you to dynamically interact with the data, leveraging context-sensitive drilldowns to explore the next logical analytical step based on the chart currently being displayed. Examples of the value of this powerful analytical approach that will be demonstrated include CICS transaction response time profiles and Db2 buffer pool analysis. We will also show how other SMF data sources (e.g., data sets, service classes, and coupling facility) can supplement the detailed CICS and Db2 records.
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.
Db2 Getpage Rate: Automated Change Detection Use Case 4
“Getpages” are a primary indicator of Db2 activity, reflecting the count of operations to access data in a page. This use case illustrates the identification of a significant increase of Getpages.
CICS CPU Per Transaction: Automated Change Detection Use Case 3
This example identifies significant increases in CPU per transaction for selected transactions, isolates it to specific CICS regions, and investigates that further.
Experience firsthand the deepest visibility into your z/OS systems, processors, network, disk and tape environments. Whether you’re in the early stages of product research, evaluating competitive solutions, or trying to solve a problem, we’re happy to help you get the information you need to move forward with your IT initiatives.
Supported Areas in IntelliMagic Vision for z/OS Systems
Monthly License Charges (MLC)
Tune your processor configuration to increase the MIPS you get out of your mainframe hardware.Learn More
Configure Coupling Facilities for optimal availability and proactively identify hidden health and performance risksLearn More
See Buffer Pool imbalances and proactively identify upcoming risks to your Db2 health and performanceLearn More
Save time looking for problems and profile CICS transaction data and see transaction response timeLearn More
Ensure sufficient capacity and consistent performance for IBM zEDC availability.Learn More
Monitor the health of your TCP/IP and analyze traffic from different perspectives.Learn More