John Baker, Senior Consultant at IntelliMagic, has been working with mainframes for over 25 years, both as a customer and consultant. His primary focus has been on system and application performance.
As a customer, John designed, implemented and maintained many critical projects such as WLM Goal Mode, GDPS/Data Mirroring, and merging datacenters. As a consultant, John has assisted many of the world’s largest datacenters with their z/OS performance challenges.
John is a frequent and much appreciated speaker at industry events like SHARE, CMG, GSE and IBM conferences. He has served on the Board of Directors of the Computer Measurement Group (CMG) and currently volunteers with the MVS Performance Project (MVSP) at SHARE.
In his spare time, John enjoys pool, motorcycles, his dog, old port and a spirited political debate. He lives with his family near Toronto, Canada.
Resources created by John Baker
Throwing out the Rolling Four-Hour Average with Tailored Fit Pricing, Enterprise Consumption
The Rolling 4-Hour Average (R4HA) is a measurement of your average speed, over four hours; Tailored Fit Pricing measures precisely how far you drove.
Controlling MLC with Capping
‘Soft capping’ is a common technique to control software costs based on the R4HA. IBM offers two ‘flavors’: Defined Capacity (DC) and Group Capacity (GC).
MLC Pricing 101: Tailored Fit, Sub-capacity, and Capping
With the recent IBM announcement about Tailored Fit Pricing, it seems an opportune time to discuss the current pricing methods. In this first blog I’ll cover sub-capacity pricing.
An Insider's Guide to Tailored Fit Pricing for IBM Z
IBM's Tailored Fit Pricing model throws the R4HA/4HRA out the window. Peak hours and days are no longer a concern - your total MSU (CPU) consumption for the year, will determine your bill.
IBM z15 Announcement Highlights and How to Take Advantage
The z15 (with a General Availability date of 9/23/2019) offers up to 190 CPU cores (vs. 170 on z14) and 40 TB of usable memory (vs. 32 on z14), in addition to processor cache and overall performance improvements.