What is Workload Automation?

IBM Workload Automation is an automation platform integrating IT, operational, and business workflows to optimize orchestration for the execution of unattended and event-driven processes built to operate in hybrid environments. IBM Workload Automation provides a single point of control for your automated activities with an intuitive user interface that enables users to model, manage, and monitor their workloads, enhanced with graphical views, embedded analytics, and customizable dashboards.

Features

• **Powerful and intuitive dashboard: **Enable the integration of data transfer operations in workflows using a modernized interface for data-driven decisions. Customization is easy with built-in widgets, including monitoring and support for data from any REST API.
• **Self-service automation: **Use catalogs and services to submit routine business tasks, running and monitoring processes on demand from a mobile device.
• **Anomaly detection in workloads: **Leverage AI-powered historical data analysis providing anomaly detection for the overall workload or selected jobs.
• **Managed file transfer capabilities: **Easily move files and streamline modeling of the automation workflows with the new Workload Designer, part of the Dynamic Workload Console.
• **Full observability of business applications: **Experience the capability to log Workload Automation events based on open standards for consumption by the IBM Cloud Pak for Watson AIOps and Instana.
• **Easily define workflows: **The Workload Designer provides a modeling user interface that provides a unified access point to design every scheduling object with improved contextual help and graphical views.

Benefits

• **Optimize workload management: **Improve decision-making and reduce costs by centralizing management and eliminating manual activities as any unattended process can be scheduled on request or via events.
• **Single point of control: **Monitor all enterprise processes from a single point of control to provide consolidation of operations team procedures, and integration with monitoring and alerting tools.
• **Enterprise observability: **Improve observability through modern monitoring solutions employed by AI using open standards to enable collection of data through tools such as Instana for better control of your IT system.
• **Resource management and optimization: **Orchestration of IT and business workloads help improve decision-making by centralizing management of resources and optimize workloads in a hybrid deployment model.
• **Proactive incident resolution, remediation, and avoidance: **Bridge IT and business applications with one-stop automation modelling to achieve anomaly detection on workloads and achieve successful job outcomes.