You can now monitor the availability of your infrastructure and services, monitor performance, and analyze bottlenecks. Workload Automation features an improved mechanism for monitoring and auditing events. The monitoring engine generates a .json file containing all Workload Automation events, a file which is consumable by all applications using .json and meeting the OpenMetrics standard, for example AI Data Advisor (AIDA), Splunk and Fluentd.
By further analyzing these values through a data analytics tool, such as AI Data Advisor (AIDA), you detect anomalies and anticipate failure or degradations. For more information about AIDA and how to use it, see AI Data Advisor (AIDA) User's Guide.
You can also install Instana and monitor the whole infrastructure, both on-premises and cloud, on which you have installed Workload Automation.
On the cloud side, within the server and agent containers you have a number of sidecar containers which monitor .json log files.
On the on-premises side, you can feed your monitoring tool the .json log files and monitor your environment by creating custom dashboards in the monitoring tool.
This enhancement grants an immediate deep dive into all events generated in the Workload Automation environment.
For more information about the metrics IBM® Workload Scheduler exposes, see the section about monitoring Workload Scheduler in User's Guide and Reference.
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