What’s New with IBM DS8900F?
Release 9.1 for the DS8900F storage array contains numerous product improvements that should be interesting and useful to any shop that has DS8900F installed or is considering it.
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.
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.
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.
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?
4 Benefits of Implementing TS7700’s New Microcode Compression
Implementing the TS7700 microcode-based compression algorithms can have benefits beyond better compression. The CPU algorithms allow host jobs to run faster and improve replication time.
Seismographs and Storage Performance
Just like a seismograph, the right change detection algorithms can automatically show you when your performance deviates from normal, enabling you to address the changes before they become an issue.
Deriving Insights from SMF 115 MQ Statistics Data
SMF 115 MQ Statistics records report metrics at the MQ queue manager level. These records are lightweight and have negligible CPU cost, so sites typically generate MQ Statistics records on an ongoing basis.
Understanding Physical Sequential Datasets
Oftentimes it is sufficient to analyze I/O performance without needing to understand the datasets. The SMF 42 records are useful to obtain a deeper understanding of the datasets and the applications that are using the storage.