AAI: Tracking Trends & Runtimes with Jobstream Run Details

Serving as a forensic investigation hub, this course teaches users to cross-reference live execution statistics against multi-week historical behavior to diagnose performance drift and "duration creep". It details three core analytical perspectives:

• The "Actual" view, anchoring real-time progress to a live "Now" marker.

• The "Relative to SLA" view, normalizing historical runs against a standardized zero-anchor deadline line to measure risk margins.

• The "SLA Graph" view, plotting duration patterns over time to catch performance degradation before outages occur.

Learners also master the precise distinction between actual SLA breaches ("Late") and forecasted delays ("Predicted Late") to harvest statistical evidence for engineering escalations.

Certification

Upon completion, you will receive:

• A certificate validating the course completion
• The AAI Monitoring Jobstreams Badge

Value: 200 points

By the end of this course, you will be able to leverage four core operational functions to eliminate guessing on shift:

• Audit historical drift: Navigate historical execution logs to trace long-term performance changes.

• Evaluate cycle variance: Analyze the Actual versus Relative to SLA performance graphs.

• Expose processing latency: Track execution duration changes across multiple consecutive run cycles.

• Harvest trend evidence: Extract statistical runtime history to validate infrastructure capacity problems.