There is a lot of AI and Machine Learning language being used to market mainframe performance and capacity management (PCM) solutions, and it can be difficult to distinguish how these claims really impact the end results.
This webinar is designed to help you evaluate various Artificial Intelligence-based design approaches to enable the machine to derive better performance and availability intelligence on behalf of the human analysts.
This complex and voluminous (but critically important) z/OS data source contains the best infrastructure operations metrics in the data center and is a strategic advantage to the platform and your organization if we better utilize it with the power of the machine.
This webinar will cover an overview of:
- The pain points that status quo RMF/SMF reporting is creating for today’s mainframe environments
- The top 5 business impact areas of need this pain creates
- How well new technology approaches, including Machine Learning and other AI techniques, can address (or not address) each identified business need
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.
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