MQ Statistics and Accounting SMF data provides extremely useful insights into MQ management and operation. Unfortunately, extracting those insights from the SMF 115 and SMF 116 record types is challenging – and raw data pulls lack context or accessibility.
Our learning journey will include:
- How to proactively identify risks to MQ availability and performance
- Introducing the many types of metrics provided in the MQ Statistics data, including requests by MQ command, buffer utilization and write thresholds and various logging metrics
- Introducing metrics available in the MQ Accounting data, including command elapsed and CPU times, message lengths, persistent message counts, and queue depth
- Examining the differing profiles of work generated by the various callers of MQ services (“connection type”), including elapsed and CPU times
More IntelliMagic zAcademy Sessions
Mainframe Health Checks 101 – When was your last checkup?
Comprehensive health checks for your z/OS mainframe are essential for avoiding potential performance or availability issues.
Leveraging zERT and Other SMF Data to Manage and Optimize Network Encryption | IntelliMagic zAcademy
Given the importance of security in today’s world, managing network encryption is a critical requirement for almost every z/OS environment.
zAcademy: zHyperLink Read Performance & Lessons Learned
Watch Joe Hyde as he shares recent Db2 production data which highlights the speed of zHyperLink read I/Os and other lessons learned.