458 IBM z13s Technical Guide
You can use IBM zAware along with problem diagnosis solutions that are included in z/OS
with any large and complex z/OS installation with mission-critical applications and
middleware.
B.3 Understanding IBM zAware technology
IBM zAware creates a base model of system behavior by accessing prior system log
(SYSLOG) and applying mathematical modeling to these logs. The base model is then used
to compare with current SYSLOG for the monitored z/OS, and Linux on z Systems images.
This process helps in detecting unusual message pattern that might pinpoint deviations from
normal system behavior, which improves real-time diagnostics. IBM zAware automatically
manages the creation of the behavioral model that is used to compare current message log
data from the connected z/OS and Linux on z Systems instances.
z/OS
RTD
a
Real-time diagnostics of specific
z/OS system issues
Ye s Ye s R u l e s
based
after an
incident
Linux on
z Systems
health
checker
b
Checks configurations
Programmatic, applies to IBM and
ISV tools
Yes Rules
based to
screen for
conditions
IBM
zAware
Pattern-based message analysis
Self-learning
Aids in diagnosing complex z/OS
problems, including cross sysplex
and problems that might bring the
system down
Yes Yes Yes Diagnosis
before or
after an
incident
a. Included in z/OS.
b. Installable as Red Hat Package Manager (RPM).
Solution Available functions Rules
based
Analytics/
Statistical
model
Examines
message
traffic
Self-
learning
Method
Notes:
IBM zAware uniquely analyzes messages in context to determine unusual behaviors.
IBM zAware uniquely understands and tunes its baseline to compare against your
current activity.
IBM zAware does not depend on other solutions or manual coding of rules, and is
always enabled to watch your system.
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