ASG-OpsCentral
for Centralized Management of Enterprise Scheduling Workloads
As organizations struggle with the management of multiple, disparate scheduling environments, centralized and standardized management of these scheduling workloads has become a market requirement. ASG-OpsCentral meets this market requirement. ASG-OpsCentral provides a standardized interface that will allow Operations Management personnel to centrally manage the workload across the enterprise. This includes the ability to define and manage scheduling workloads for multiple ASG-Zeke and ASG-Zena implementations. Workloads can be managed by individual system or in a consolidated fashion via the "Commonview" facility. This real-time Java-based console provides management via a queue- or List-based format as well as graphically via Pert or Gantt type views. The Pert facility provides a real-time flowchart perspective that provides quick processing status and identification of processing constraints with a quick glance. The Gantt facility provides a time-based perspective to easily highlight actual vs. projected run times.
- Provides centralized and Web-accessible management for ASG's market-leading mainframe and distributed scheduling and automation solutions, maximizing productivity and batch management efficiencies
- Uses industry standard Java™ and XML, which allows for flexibility in implementation and use
- Features real-time graphical monitoring and management capabilities (PERT and GANTT) to easily identify processing bottlenecks and take corrective action
- Centralizes alerts from underlying ASG scheduling and automation solutions to streamline the exception notification process
- Provides adaptable security model to ensure ease of implementation and eliminate redundant definitions
- Supports ASG-Zeke "Workcenters" to facilitate secure end-user interaction with batch processing
- Allows creation of and edits to new ASG-Zeke batch processes (also known as EMR definitions)
- Provides enhanced time zone support to facilitate user customization related to batch workloads
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