Observability and Intelligence with Data Insights in AAI

Data insights in AAI provide granular visibility into workload automation. This course introduces you to the concept of data insights in AAI and guides you through viewing, creating, editing, and using  data insights to enhance workload efficiency. You’ll explore the key components, navigation features, and how to add data insights to your dashboard for quick access to critical insights. Through a real-world use case, you’ll see how AAI users leverage data insights in their daily tasks, using them to monitor operations, optimize performance, and collaborate effectively.

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.