Video

CPU by WLM Importance Level: Automated Change Detection Use Case 2

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.

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Video

CPU by System: Automated Change Detection Use Case 1

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.

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Video

Introduction to Automated Change Detection for z/OS Performance Management

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

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Blog

Deriving Insights from SMF 116 MQ Accounting Data

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.

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Blog

Why is my Ferrari of a Storage Array Running Like a Yugo?

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.

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Whitepaper

MQ Accounting - Learning From SMF

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.

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Webinar

Pure Storage Performance & Capacity 101

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

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Blog

AI: Too Much of a Good Thing

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.

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Blog

Understanding How Logical Workloads Behave On Physical Hardware

If you find elevated response time on a logical volume, how do you know which physical drives may be causing it?

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