2022-06-07T16:52:00Z

IBM Workload Automation Review

Janet Staver - PeerSpot reviewer
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Find out what your peers are saying about IBM, BMC, Broadcom and others in Workload Automation. Updated: March 2024.
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Related Questions
RA
Jul 10, 2023
Jul 10, 2023
Real-time visibility is crucial for maintaining efficiency and meeting service-level agreements. IBM Workload Automation provides a unified view of job statuses, dependencies, and workload performance, enabling users to quickly identify any issues. Users can drill down into specific workflows or individual jobs to gather detailed information and track their progress. Additionally, the control f...
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RA
Jul 6, 2023
Of course, otherwise, it wouldn’t be a comprehensive solution. Having real-time insights into your critical processes is essential for making informed decisions and ensuring smooth operations. IBM WA offers a comprehensive dashboard that allows you to monitor the status of your business processes in real-time. You can track the progress of workflows, view job statuses, and identify any bottlenecks or delays. This level of visibility enables users to quickly identify issues and take proactive measures to address them. Also, the solution's control capabilities allow you to intervene if necessary, making adjustments to workflows or resource allocation to optimize your business processes and ensure efficient operations.
Avigayil Henderson - PeerSpot reviewer
Jul 10, 2023
Real-time visibility is crucial for maintaining efficiency and meeting service-level agreements. IBM Workload Automation provides a unified view of job statuses, dependencies, and workload performance, enabling users to quickly identify any issues. Users can drill down into specific workflows or individual jobs to gather detailed information and track their progress. Additionally, the control features allow users to take immediate actions, such as rescheduling or prioritizing jobs, allocating additional resources, or triggering alerts and notifications.
RA
Jul 10, 2023
Jul 10, 2023
The solution analyzes the historical data of users' workloads and compares it to current patterns and trends. By using advanced algorithms, it can detect anomalies such as sudden spikes in job execution time or unexpected failures. This approach helps users identify potential bottlenecks, resource constraints, or abnormalities in the workload environment. With this valuable information at hand,...
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RA
Jul 6, 2023
The AI-powered anomaly detection capability in this solution leverages historical data analysis to identify patterns and anomalies in your workloads. By comparing current workload behavior with historical data, it can identify deviations from normal patterns, such as unexpected changes in job completion rates or unusual resource utilization. This helps you to quickly pinpoint potential workload issues that may impact performance or lead to service disruptions. With early detection, you can promptly investigate and address these issues, minimizing their impact on critical business processes and ensuring smooth operations.
Avigayil Henderson - PeerSpot reviewer
Jul 10, 2023
The solution analyzes the historical data of users' workloads and compares it to current patterns and trends. By using advanced algorithms, it can detect anomalies such as sudden spikes in job execution time or unexpected failures. This approach helps users identify potential bottlenecks, resource constraints, or abnormalities in the workload environment. With this valuable information at hand, users can take prompt actions to resolve issues, allocate resources more efficiently, and ensure smooth and uninterrupted workload execution. 
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