Resources

CICS is the leading z/OS transaction manager, and as with other technologies across the platform, it produces extensive SMF metrics that offer rich potential insights for its management and operation. Watch this session and find out how much you can learn through exploring CICS Transaction (SMF 110.1) and CICS Statistics (110.2) data.

We all know that our z/OS LPARs rely on processors to execute the code to run our business. We also need to plan on having sufficient resources available for our workload when we design our LPARs.

When searching for the response time of certain CICS transactions, you need an easy and effective way to filter out the noise and rapidly find what you’re looking for.

Root cause analysis for z Systems can be a confusing and timely process. With the right approach, more time is spent resolving the problem than finding it.

This session suggests capabilities to keep in mind as you seek to modernize how you access and analyze your Db2 SMF data, both to promote rapid learning as well as boost the value you derive from your data.

Learn how moving the compression function from PCIE-attached zEDC cards to the zEDC Accelerator has resulted in changes (reductions) in the metrics that are available.

Cleaning up SAN fabric zones and storage array masking views are often a forgotten part of good storage hygiene. Although unused zones and masking views may seem harmless, they pose an availability risk to your environment on multiple fronts.

Analyze the performance impacts of implementing asynchronous duplexing for Db2 lock structure in a high volume Db2 data sharing environment.

Unused volumes increase the likelihood of mistakes, can affect replication SLAs, can impact the cost of offsite storage, or may be stored on the wrong tier of storage.

In this Cheryl Watson Tuning Letter Reprint, Todd Havekost and Frank Kyne detail the unexpected performance benefits gained after one site implemented Asynchronous duplexing.

For decades, the only way to read SMF data was to create your own SAS code that would generate output from SMF that could be understood. Technological innovations such as AI has made writing your own custom SAS code for SMF reports unnecessary for all but the most esoteric reports.

A comprehensive solution that is suitable for everyone from executives looking for cost savings and managing availability risks, to the experienced analyst looking for the most detailed insights.