Appendix B. IBM z Systems Advanced Workload Analysis Reporter (IBM zAware) 455
B.2 Introducing IBM zAware
IBM zAware Version 2 is an integrated expert solution that contains sophisticated analytics,
IBM insight into the problem domain, and web-browser-based visualization. It is an adaptive
analytics solution that learns your unique system characteristics and helps you to detect and
diagnose unusual behavior of z/OS images in near real time, accurately and rapidly.
IBM zAware introduces a new generation of technology with improved analytics to provide
better results. It can process message streams that do not have message IDs, which makes it
possible to handle a broader variety of unstructured data.
IBM zAware Version 2 delivered on z13s and z13 at Driver 27 servers provides the following
capabilities:
Support for Linux on z Systems message log analysis
Support for native or guest Linux on z Systems images
The ability to group multiple systems that have similar operational characteristics for
modeling and analysis
Recognition of dynamic activation and deactivation of a Linux image into a group and
appropriate modeling and analysis:
– Aggregated Sysplex view for z/OS and system views
– User-defined grouping
For Linux on z Systems, the user can group multiple systems’ data into a combined
model by workload (one for all web servers, one for all databases, and so on), by
“solution” (for example, one model for your cloud), and by VM host.
Heat map display that provides a consolidated, aggregated, and higher-level view, with the
ability to drill down to detail views
Improved usability and GUI functional enhancements that address customer requirements
Enhanced filtering and visualization, with better use of GUI space
Improved UI navigation
Display of local time in addition to Coordinated Universal Time
Enhancements based on IBM One UI guidelines
Enhanced analytics
More robust data stores
Expanded browser support with Mozilla Firefox 31 and Internet Explorer 9, 10, and 11
IBM zAware is designed to use near real-time continuous learning algorithms, providing a
diagnostics capability that is intended to help you pinpoint problems, which in turn can lead to
better availability and a more efficient system. IBM zAware uses analytics to intelligently
examine z/OS or Linux on z Systems messages to find unusual patterns, inconsistencies, and
variations.
Large operating system environments can sometimes generate more than 25 million
messages per day. This large volume of messages can make manual analysis
time-consuming and error-prone when exceptional problems occur. IBM zAware provides a
simple GUI and APIs to help you find message anomalies quickly, which can help speed
problem resolution when seconds count.
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