Analyzes Ansible Automation Platform (AAP) job logs to identify root causes and reconstruct failure timelines.
The Job Failure Analyzer is a specialized diagnostic tool designed to streamline the troubleshooting process for failed Ansible Automation Platform (AAP) executions. By interfacing with AAP MCP servers, it automatically extracts critical failure events, classifies errors based on established Red Hat troubleshooting patterns—distinguishing between platform, code, and configuration issues—and generates a structured forensic report. This skill serves as the essential first step in a forensic-troubleshooter workflow, providing a chronological narrative of events and mapping host summaries to identify root cause candidates quickly.
Key Features
01Automated extraction of primary failure events including task failures and host unreachability.
02Error classification based on Red Hat AAP 2.6 troubleshooting patterns and guidebooks.
03Seamless integration with follow-up diagnostic skills like host-fact-inspector and resolution-advisor.
04Detailed host summary mapping across OK, Changed, Failed, and Unreachable statuses.
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06Chronological failure timeline reconstruction to isolate root cause versus cascade effects.
Use Cases
01Differentiating between platform-level connectivity issues and playbook-level code errors.
02Investigating the specific reason why an Ansible job ID failed during a deployment.
03Generating structured forensic reports for failed automation tasks to simplify root cause analysis.
