Observability and Intelligence with Data Insights in AAI

The Job Status data insight in AAI helps you monitor job executions in real-time, providing key insights into job statuses and anomalies. This course will show you how to view, create, and use a Job Status data insight to track job progress and improve workload visibility. You’ll explore its key components, customization options, and how to use it for efficient monitoring of jobs across your schedulers. Through a real-world use case, you’ll learn how AAI users utilize the Job Status data insight to stay ahead of job failures, and ensure SLA compliance.

The Completion Status data insight in AAI provides a comprehensive view of job execution outcomes, helping you track the final status of completed jobs and analyze overall job health. This course will guide you through viewing, creating, and using a Completion Status data insight to monitor job run results. You’ll learn how to apply advanced filters to focus on specific job completion statuses and gain deeper insights into recurring failure patterns and workflow performance. Through a real-world use case, you’ll see how AAI users leverage the Completion Status data insight to identify job run trends, troubleshoot failures, and enhance workload reliability.

The Trending Jobs data insight in AAI helps you identify performance trends in job execution, allowing you to spot job degradation patterns before they impact SLAs. This course will guide you through viewing, creating, and using a Trending Jobs data insight to analyze historical job performance. You’ll learn how to set threshold margins, filter job data, and interpret trends to proactively optimize job and jobstream execution. Through a real-world use case, you’ll learn how to use the Trending Jobs data insight to predict performance issues, refine job scheduling, and enhance workload efficiency.

The Processing Load data insight in AAI provides a detailed view of workload distribution, helping you monitor and optimize scheduler and machine loads for improved efficiency. This course will guide you through viewing, creating, and using a Processing Load data insight to track peak execution loads. You’ll learn how to drill down into scheduler activity, analyze machine loads, and balance processing demands for better workload distribution. Through a real-world use case, you’ll see how AAI users leverage the Processing Load data insight to optimize resource allocation, prevent system overloads, and plan for scheduled machine maintenance.

This course teaches you to leverage AAI's Jobstream Runs data insight for in-depth analysis of jobstream execution history. In under an hour, you'll learn to create customized views, monitor SLA compliance, investigate delays, and optimize operational performance. Through practical scenarios, you'll gain the skills to identify bottlenecks and improve overall efficiency. You'll learn to proactively manage jobstream performance and share actionable insights with stakeholders, ultimately boosting your operational effectiveness.

This course teaches you to leverage AAI's Business Area Monthly Performance data insight for visually tracking SLA success rates across business areas and jobstreams. You'll learn to identify trends, spot breaches, and proactively resolve performance issues. Through practical use cases, you'll discover how to create, analyze, and share this insight. You'll gain the skills to interpret SLA trends using heat maps and monthly views, identify business areas needing attention, and proactively manage performance, leading to improved SLA compliance and operational efficiency.

This course teaches you how to leverage AAI's Audit History data insight to gain crucial visibility into your Autosys automation environment.  You'll discover how to track configuration changes and automation events, enabling proactive compliance management and streamlined troubleshooting. Learn to create, configure, and analyze audit histories, applying practical scenarios to trace changes and prepare for audits. Master filtering, grouping, and reporting techniques to generate insights that improve operational integrity and facilitate effective communication with stakeholders. By the end, you'll feel empowered to confidently manage your automation environment and ensure its stability.