IBM Z® Operations Insight Suite operational analytics offerings address many challenges surrounding big data. This suite of solutions offers a single point of control for essential processing and analysis of IBM Z operation data. It is the single point of data collection that your organization needs to gain deep insights into the operations of its z/OS® based data center.
The following are contained in IBM Z Operations Insight Suite:
- IBM Z Performance and Capacity Analytics
- IBM Z Operations Analytics
- IBM Z Common Data Provider
Near real-time data collection and curation combined with zIIP-eligible processing can lower your overhead and get you analysis in near real time.
Get out-of-the-box dashboards on key performance metrics and capacity planning, delivered on Cognos® Analytics. Splunk and/or Elastic Stack.
Use the built-in forecasting capabilities to predict future resource needs based on current capacity and growth trends.
Get actionable insights into the health of your IT operations environment, and accelerate problem identification, isolation, and repair.
Collect log data for easy access to the historical enterprise-wide IT utilization information for use in performance reporting, service-level management, and operational planning.
Use machine learning to baseline normal system behavior, proactively detect operational anomalies and notify operations when they occur.
Continuous curation of data improves the timeliness of your access to information and analytics so that you can better manage system availability. Resolve problems with quicker insight into performance and capacity anomalies within minutes and hours of data collection, whilst lowering the processing overhead impact of data curation.
A comprehensive set of dashboards are provided across multiple reporting platforms, including Cognos® Analytics, to deliver easy to adopt insights for multiple user needs, from performance analysts to IT operations management and capacity planners. Data can also be streamed to off-platform analytics platform of choice, such as Splunk or Elastic Stack, through the use of the IBM Z® Common Data Provider, thus enabling IBM Z data to be visible and leveraged in enterprise-wide platforms.
The built-in Forecaster function provides the means to use your historical data usage trends (plotted against existing capacity) to determine when additional resources will be required in your IT strategic planning process.
Whatever pricing model you follow to license software on IBM Z, enhanced reporting is provided so as to help performance and cost management identify products and workloads that contribute to the either the rolling 4-hour average or enterprise consumption models.
Integrate IBM Z operational data along with data from the rest of your enterprise in your analytics platform. Leverage IBM best practice insights on multiple analytics platforms including IBM, Splunk, and Elastic Stack to gain enterprise wide operations visibility.
Leverage machine learning to baseline normal system behavior. Analyze anomalies in the context of other operational data and receive alerts in your system with actionable insight.
Software that helps proactively identify operational issues and avoid costly incidents by detecting anomalies in both log and metric data.
A connector that provides transaction tracking information from z/OS subsystems to APM solutions.
Deploy your AI models on z/OS for real-time business insights at scale.