Resources

Leveraging context-sensitive drilldowns, based on an unanticipated finding of a spike in CPU consumption for the highest importance “Systems” work, this video investigates the address space(s) driving that.

One common use case for Change Detection is identifying significant variances in key metrics at the system level including: CPU usage, zIIP usage, percent utilization of the CPC, etc.

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 Views

MQ Accounting records are often considered to be too expensive, both in CPU overhead and SMF record volume. However, we believe that these concerns may be overstated.

Improperly configured hosts can suffer from poor performance even on high performing arrays. Like a sports car engine, modern arrays are finely tuned machines, but if fueled with inefficient input you can rob performance and make your Ferrari perform more like a Yugo.

This article is designed to introduce you to the types of insights that are available through SMF data with a focus on the SMF 116 MQ Accounting data.

This webinar covers best practices for performance and capacity planning for Pure Storage FlashArray and provides insights into the key metrics for performance analysis.

Solution providers will continue to entice us with bigger and better real-time analytics. Some of these should be employed, but first try to understand the logic you may be activating when you implement.