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.
The Perils of Complacency with Enterprise Storage Systems
Over the last few years, Enterprise Storage Systems have advanced so much that it seems that they have nearly unlimited performance and resiliency. However, becoming complacent with your storage performance is fraught with peril.
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.
Soldiering through z/OS Outsourcing, Insourcing and Change
Despite the growing number of reports that raise concerns with maintaining your mainframe performance while outsourcing z/OS infrastructure, the appeal of outsourcing's promised benefits has yet to wear off.
Deriving Value when Deluged with Data (aka CICS Transaction Reporting)
When searching for the response time of certain CICS transactions, you need an easy and effective way to filter out the noise and rapidly find what you’re looking for.
Industry leading support for INFINIDAT InfiniBox
Nov 15, 2018 | IntelliMagic Vision for SAN is software to prevent performance incidents that may impact application availability. In this new release, IntelliMagic added support for INFINIDAT Infinibox systems.
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.
IBM Technical University, Hollywood 2018 IntelliMagic Sessions
A recap of IBM TechU Hollywood, 2018 with links to all of the presentations and sessions we hosted.