Dr. Gilbert Houtekamer, Founder and Managing Director, is the key mind that IntelliMagic’s technology originates from. His interest in storage performance started with research he did during his Ph.D. from the Delft University of Technology in the 1980s. Together with the product management teams, Gilbert remains highly involved in the innovation of the products. He visits customers regularly to get inspiration on how IntelliMagic can expand their offerings to make customers happier and more empowered in protecting their datacenter infrastructure. He has been awarded with the A.A. Michelson Award and is member of the Mainframe Hall of Fame for his contributions to the performance metrics field.
Resources created by Dr. Gilbert Houtekamer
Rethink the Design of your Storage and Replication Infrastructure with zHyperLink
Since it has become harder to make the processor faster, IBM looked for other ways to improve mainframe performance. zHyperlink is the new technology that resulted from the z14 processor.
Automatic Health Checks in GDPS Environments
Our latest technical note covers how IntelliMagic solutions provide visibility with more built-in intelligence and predictive capabilities than any other solution on the market.
Less is More – Why 32 HyperPAVs are Better than 128
This blog discusses why you should base the number of aliases on the number of I/Os being processed concurrently on a channel set.
HDS Pools Hit the Target in RMF for Hitachi Dynamic Tiering
HDS created their Hitachi Dynamic Provisioning (HDP) pools which greatly increase your ability to get insight in the back-end and autotiering workload for the VSP.
What HDS VSP and HP XP P9500 Should Be Reporting in RMF/SMF – But Aren’t
This post is about the Hitachi high-end storage array that is sold by HDS as the VSP and by HP as the XP P9500.
What IBM DS8000 Should Be Reporting in RMF/SMF – But Aren’t
This the second in a series of four blogs on the status of RMF as a storage performance monitoring tool and is based on experience using available instrumentation for IBM DS8000.
What RMF Should Be Telling You About Your Storage – But Isn’t
This is the first in a series of four blogs by Dr. Houtekamer on the status of RMF as a storage performance monitoring tool.
What EMC VMAX Should Be Reporting in RMF/SMF – But Isn’t
This is the third in a series of four blogs on the status of RMF as a storage performance monitoring tool. This one is specifically about EMC VMAX.
Integrating z/OS Performance Management with Splunk & Enterprise Dashboards
IntelliMagic Vision can export data into a Splunk-ready format, after which it can be imported into Splunk. This means not much data is ingested into Splunk, which can be a significant cost-saver.
Forecasting Usage and Capacity Growth
Processors are expensive, and that is why it is crucial to have an accurate understanding of how much capacity you are using and have left before you run out.
Understand z/OS Workload Peaks in Context
By being able to compare any chart or dashboard with any previous time interval, performance analysts can quickly determine whether a certain workload peak is normal or unusual.
RMF/SMF Analysis - Get Ahead of the Curve with Statistical Analysis
This webinar demonstrates how applying statistical algorithms to meaningful metrics will automatically identify significant changes to the z/OS workloads and applications.
Automatic z/OS Health Checks to Avoid Service Disruptions
Machine intelligence designed correctly has a deep understanding of the system and can do all the computing, analyzing, normalizing, and prioritizing automatically.
Quickly Identify Service Level Violations
Machine intelligence can quickly determine and show when metrics are out of the expected range and quickly identify service level violations.
Detecting z/OS Application & Workload Changes
Statistical approaches help save CPU time and MSU’s by being able to quickly see when something new comes online or when new application versions are less efficient.
White Box Analysis Vs. Black Box Statistical Performance Analysis
White box analysis uses built-in expert knowledge about z/OS metrics and the z/OS infrastructure to detect absolute issue violations and derive true intelligence for predictive and prescriptive insights.