Workload Automation

AutoSys Workload Automation
AutoSys Workload Automation improves the availability of critical application workloads across the enterprise by dynamically responding to real time business events, mapping workload processes to service level agreements, ensuring continual monitoring and automating recovery. It enhances visibility and control by providing a single point of control for managing and visualizing a business process end-to-end across platforms. Dynamic workload placement across physical, virtual and cloud resources allows you to optimize infrastructure usage and increase business responsiveness. Out-of-the-box integrations with leading business applications eliminate the need to create and manage custom scripts resulting in lower operating costs.

ESP dSeries Workload Automation
ESP dSeries Workload Automation helps simplify cross-enterprise workload automation with a single platform designed to be easy to use, install and manage. You can define, monitor and schedule event-driven workload automation tasks across enterprise applications and platforms, which can reduce the need for scripts, disparate tools and manual processes. ESP dSeries Workload Automation uses built-in forecasting and simulation to anticipate and resolve potential issues. You can implement event triggers, alerts and dynamic path management to help your team remain in control of critical application workloads and vital business services.

CA Workload Automation iDash
CA Workload Automation iDash (CA WA iDash) is designed to help you consistently deliver on service level guarantees to your clients. It applies advanced predictive analytics in real time to create efficient and finely-tuned environments for AutoSys Workload Automation. This service level management software helps streamline your business-critical SLAs and automate repetitive tasks so you can focus your time on improving your workload environment and maintaining higher levels of availability. CA WA iDash is designed to help you visualize complex relationships more easily, proactively monitor SLA and Critical Path thresholds and alerts and execute recovery actions when thresholds are at risk of being missed.

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