Watson AIOps for IBM Z Overview
IBM Watson® AIOps is an enterprise grade solution that correlates data from various sources and derives hidden insights that allow Site Reliability Engineers and IT Operators to quickly detect, decide and act to resolve IT incidents across hybrid applications.
Watson AIOps connects structured and unstructured data sources, such as events, alerts, metrics, logs, topology and incident tickets, and present system anomalies to users via ChatOps user experience.
IBM Watson® AIOps for IBM® Z enables predictive incident detection and resolution for hybrid applications that include IBM Z. Through the integration of IBM® Z Operational Analytics, Watson AIOps for IBM Z now provides a holistic and single point of view for incidents occurring across hybrid applications by correlating and grouping structured data (like events and alerts) and unstructured data (like logs) from various sources. The integration of IBM Z Operational Analytics supports Watson AIOps by:
- Identifying unusual IBM Z workload behaviors
- Locating common issues hidden in IBM Z operational data
- Detecting and setting IBM Z baseline normal operations with machine learning
By providing links to sources of anomalies and monitoring data in real time, Watson AIOps for IBM Z is able to provide rich insight and visibility as complex problems evolve to allow you to quickly diagnose and resolve mission critical issues. With pre-trained AI models, tuned by data from your existing IT monitoring tools, Watson AIOps for IBM Z provides valuable new insights specific to your hybrid environments enabling rapid service restoration as well as the ability to proactively re-mediate incidents before they cause a service disruption.
End-to-end visibility for incident management
Here is an architectural view of Watson AIOps for IBM Z and how the IBM Z ecosystem integrates into Watson AIOps to enable end-to-end visibility for incident management:
Logs from your cloud native and traditional applications, and the events and alerts from your IBM Z components are all streamed and consumed by Watson AIOps for IBM Z. For example, alerts from IBM Z Operations Analytics for when key Z metrics have gone anomalous will be sent as events to Watson AIOps. Similarly, OMEGAMON alerts on threshold breaches will also be sent as events and consumed by Watson AIOps.
Leveraging AI
Watson AIOps for IBM Z brings together leading AI technologies from Watson AIOps and IBM Z Operations Analytics. The system understands the normal operations on your Z environment by knowing how key Z metrics behave when the system is running smoothly. When abnormal behaviors on Z is detected, Watson AIOps combines these insights with other events and log anomalies. With the help of AI processing the anomalies and topology information, Watson AIOps is able to help you identify abnormal situations and applications, and find the best course of action by leveraging the data in your historical incident tickets.