This short video discusses the differences between white box analysis and black box analysis for RMF/SMF performance management and is excerpted from a webinar. Watch the full webinar, “RMF/SMF Analysis – Get Ahead of the Curve with Statistical Analysis” here.
Many new z/OS performance analytics solutions talk about black box analysis for their statistical approaches. This offers advantages such as not needing prior expert knowledge about the mainframe infrastructure as the black box statistical approach is platform agnostic.
However, white box analysis utilizes built-in expert knowledge about z/OS metrics and the z/OS infrastructure to detect absolute issue violations and derive true intelligence for predictive and prescriptive insights.
Black box statistical approaches often trigger alerts after significant changes to key application workloads. Again, this can be useful, but the alerts are both reactive, and do not consider whether the infrastructure can properly service the new workload pattern.
White box analysis, or Availability Intelligence, issues alerts only when the underlying infrastructure is at risk of not delivering workload needs. This means the alerts are proactive and will not send alerts about a doubled workload if the infrastructure can handle it.
Oftentimes both black box and white box approaches are necessary for a complete z/os performance management solution. Watch the short video above to learn more.
Reporting on Tailored Fit Pricing Enterprise Consumption
Discover ways to track your MSU consumption, and how to identify and investigate situations where your actual consumption is out of line with the expected consumption.
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.
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