IBM Z Operational Log and Data Analytics

IBM Z Operational Log and Data Analytics is a solution focused on making mainframe data available in modern log analytics solutions to help accelerate incident identification within hybrid applications. There are a number of core capabilities that include a data pipeline supporting a breadth of metrics and logs being generated by mainframes. In addition to the underlying data streaming component, IBM Z Operational Log and Data Analytics included various subsystem specific out-of-the-box dashboards and searches delivered to industry leading log analytics platform(s).

Benefits:

• Increased hybrid cloud visibility

• Improve analytics flexibility

• Quicker time-to-value with root cause analysis

• Reduce cost and effort with reduction in analytics ingestion cost

• Simplified analytics experience

Value proposition:

Faster isolation of problems in hybrid applications -- Accelerates hybrid incident identification with near real-time operational analytics.

What users can expect more:

• Complete solution: It provides data streaming, searching, and visualization capabilities, along with a new log analytics platform specifically created to meet the needs of IBM Z clients. The solution allows clients to accelerate their hybrid incident identification.

• Advanced data streaming capabilities: Customers can access to the broadest set of IBM Z operational data in near real time and stream data to multiple analytics platforms like Splunk, Elastic Stack, Kafka, etc.

• Ready-to-use dashboards and searches: The dashboards and the included Z specific searches help provide visibility into IBM Z operational data and help teams to save valuable time and resources when doing deep analysis.

• Z Data Analytics platform: The new analytics platform can run on IBM Z and is based on OpenSearch. It not only gives clients a much richer and modern dashboard and user experience, but also lowers the barrier for skills based on the familiarity of the platform.

• Cost saving: With Z Operational Log and Data Analytics, enterprises can save cost and reduce resources that are needed for incident identification by filtering and transforming data before further streaming and process, offloading workloads with zIIP process, and utilizing the existing log analytics platforms like Splunk and Elastic Stack.

• Rich user experience: Z Operational Log and Data Analytics provides dashboards and advanced searches that makes analyzing data easier. By leveraging the analytics platforms, it also makes training and acquiring skills much easier given the platform familiarity.

• Greater visibility: Z Operational Log and Data Analytics brings IBM Z data on the same pane of glass as distributed data, contextualizes these data to uncover and investigate incidents with increased speed and confidence.