Add Predictive & Prescriptive Value to Your CICS & Db2 Monitoring Process
Db2 for z/OS, and CICS that often drives much of the Db2 usage, generate some of the most voluminous infrastructure operations data on the z/OS platform. The data is so massive and complex that it is difficult to understand and discover what problems are occurring or likely to occur, why, and what has changed.
Smart machines are far better than humans at tasks such as checking reams of data for certain conditions and preparing interactive visibility for the human analysts. For example, properly-designed algorithms can automatically monitor and rate the severity of some of the most important IBM Redbook best practices for Db2 and CICS.
While not replacing your real-time monitors, this kind of automated evaluation and rating of the SMF data for important conditions adds an important new kind of monitoring of the infrastructure operation that is proving very practical and valuable for the human analysts.
And instead of being overwhelmed by the massive volume of data and static reports, see how IntelliMagic Vision leverages context-sensitive drilldowns to dynamically navigate through the data, raising the effectiveness of your analysis to an entirely new level.
This webinar covers the transformative power of these new capabilities for Db2 and CICS, showing benefits such as:
- Automatic exception reports
- Eliminating the need for manual graph creation
- Context-sensitive drilldowns to dynamically navigate through massive amount of data
- Quick/easy way to see trends, peaks, and Buffer Pool usage
- Highlights to improperly sized Buffer Pools
- Global Filtering to subset the data
- Comparison for days/weeks/months
- Combine data from multiple Data Sharing Groups in a single graph
How to Prepare Your Mainframe Infrastructure for Cyber Monday and Black Friday
Three hours of Cyber Monday generates more sales than any given full day for the rest of the year. Is your infrastructure prepared to handle these critical peak workloads?
IT Operations Analytics for your Mainframe Infrastructure
Modernize your approach to mainframe performance management by moving away from static reports towards interactive, ITOA context-driven analytics.
When to Use Machine Learning for RMF/SMF Performance Analysis
This webinar is designed to help you evaluate various Artificial Intelligence-based design approaches to enable the machine to derive better RMF/SMF performance and availability intelligence on behalf of the human analysts.
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