Resources

Examples of the benefits of dynamic navigation through Db2 Accounting data applied to metrics such as (a) prefetch activity by type and (2) counts of suspension (“wait”) events.

Focusing analysis by authorization ID can be particularly helpful for insights into managing DDF work which is often challenging since it lacks many of the controls in place for other types of workloads.

The many timing buckets captured in the Db2 Accounting data enable great visibility into the elapsed time profiles of work executing within Db2.

Db2 analysts frequently want to subset data by correlation ID so that they have easy visibility into the specific drivers of Db2 activity (e.g., by CICS transaction, batch job, etc.).

High volume Db2 data sharing groups are very dependent on responsive coupling facility performance, giving Db2 teams keen interest in coupling facility metrics captured in the RMF 74.4 records.

Since Db2 is typically the largest exploiter of memory in general as well as of 1 MB and 2 GB large frames, visibility into memory, paging, and large frame metrics from RMF 71 data is of particular interest to Db2 teams.

Insights into Db2 operation in areas such as WLM service goals and CPU utilization and consumption are provided by RMF 70 and 72 data.

Since Db2 interacts heavily with z/OS and other subsystems, “outside” perspectives provided by RMF metrics are essential to effectively manage Db2 operational health and performance.

A brief walkthrough of a sample dashboard into Db2 Statistics metrics that enables team members to share a common view of all key metrics and provides easy accessibility to carry out buffer pool tuning initiatives.

Automated assessments of key Db2 metrics facilitate proactive analysis and prevention of outages by identifying areas that may warrant investigation.

A brief introduction to some of the “other” (non-buffer pool related) metrics available in Db2 Statistics data

How to approach measuring the benefits of buffer pool tuning initiatives, which are likely to be primarily realized in this small set of average elapsed time metrics