Resources

This whitepaper provides a brief overview of the Pure FlashArray hardware and discusses some best practices for configuring your FlashArray for optimal performance within an actual SAN infrastructure.

In this webinar, Cheryl Watson and John Baker share their insights on managing and monitoring TFP.

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.

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.

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.

Key coupling facility performance metrics at the structure level include synchronous and asynchronous request rates and service times, making them attractive candidates for Change Detection.

“Getpages” are a primary indicator of Db2 activity, reflecting the count of operations to access data in a page. This use case illustrates the identification of a significant increase of Getpages.

This example identifies significant increases in CPU per transaction for selected transactions, isolates it to specific CICS regions, and investigates that further.