Splunk Workload Monitoring

Track the execution and performance of your scheduled searches, reports, and alerts across your Splunk environment at scale.

Detect behaviour changes between versions of the same search. Identify who modified a use case, what changed, and correlate with performance regressions or failures.

Automatically detect failing use cases and suspicious execution patterns at scale — ensuring critical SIEM use cases, reports, and alerts are always running as expected.

Track execution times, resource consumption, run duration trends, and success rates for all monitored scheduled activities.

Monitor workload on your local Splunk deployment or transparently across remote Splunk environments via the remote deployment framework.

Workload KPIs — execution times, failure rates, skipped searches — are stored as high-performance metrics in the Splunk metrics store for fast historical analysis.