zAcademy: The All-Flash datacenter – How come my I/O Response isn’t twice as fast
Many datacenters have adopted flash technology and are observing that their I/O response times are not dramatically different. Learn why.
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.
zAcademy: Lessons on Optimizing Processor Cache From z15 Upgrade Case Studies
Since it is likely that one-third to more than half of your total CPU cycles are spent waiting for data and instructions to be staged into level 1 processor cache, it is critical to understand and have visibility into this significant component of your CPU consumption.
zAcademy: Boost the Value You Derive from CICS and Db2 SMF Data through a Modernized Approach
This session will present the benefits of modernizing how you understand and leverage SMF data for CICS and Db2 Performance analysis.
zAcademy: Reining in HSM at the Storage Ranch
Learn best practices and recommendations to help you rein in and optimize your HSM demand.
zAcademy: “What Am I Waiting For” - A Basic Performance Session For Anyone
John Baker teaches us some of the basic principles in z/OS performance that forces us to wait.
Sub-Capacity Reporting Tool (SCRT) Filtering Capabilities & Benefits
The goal of analyzing Sub-Capacity Reporting Tool (SCRT) usage is to ultimately manage and reduce your MSU usage, and thus MLC costs.
Avoid MLC Charges on Unintended Usage Data Using SMF 89 Records
The SMF 89 record type stores the CPU of each registered Sub-Capacity product over time. This is useful for avoiding MLC charges on unintended usage and much more.
Getting to Know Your WebSphere for z/OS Workload
There are many areas of WebSphere that can leave even a seasoned z/OS performance specialist scratching their head. The SMF 120-9 records give us a great way to measure and understand our WebSphere workloads like never before.