Multiple user groups place demands on critical business systems and require timely responses and dependability. Most of these transaction demands traverse multiple systems while collecting data from multiple sources. Managing these and other interdependencies at an enterprise level makes it difficult to coordinate business processes end-to-end. This makes issue analysis and resolution difficult and time-consuming. Many IT organizations are rethinking how processes and jobs are managed and are moving toward real-time business workload automation to keep pace with demand. 

Job scheduling once represented a viable way to manage critical data center functions, however many enterprises have evolved past the point where scheduling simple tasks on a single platform at a specific time and date is adequate. Organizations are now challenged to:

• Respond to thousands of users and requests for cross-platform processing.
• Meet stringent SLAs.
• Manage intricate interdependencies.
• Support infrastructures assembled from both legacy and emerging technologies.
• Access virtualized resource pools, often in cloud-enabled application infrastructure.
• Control costs, risks and performance.

CA Workload Automation DE provides a central point of visibility and control to help manage production workloads effectively. CA Workload Automation DE is distinguished by its broad platform coverage, event-based architecture, intelligent resource management, flexible configuration, extensive automation options, and ease of use. This solution enables organizations to use business policies and SLAs as the key drivers for workload priorities. 

CA Workload Automation DE exposes workload functions and job flows as services to business applications which supports the management of high volumes of complex, business-critical workloads across your enterprise. Advanced functions for workload prioritization and load balancing help align workloads and resources to meet real-time business demands.

Help your team remain in control of critical application workloads and vital business services by implementing a powerful solution that has fewer moving parts, less complexity and that can reduce the product footprint while maximizing throughput.