Intelligent Automation at Your Fingertips

ActiveBatch allows users to optimize their resources while scheduling and executing workloads to ensure that Service-Level Agreements (SLAs) and business deadlines are met. Scheduling Analytics combines historical and predictive analyses by measuring behavioral insight such as historical workflow performance, resource availability and capacity, and upcoming workload schedules, to make predictions about possible future workflow execution times and durations.

Scheduling Analytics Features

ActiveBatch Smart Queue

ActiveBatch Smart Queue will dynamically scale virtual/cloud resources up or down based on real-time demands and historical analysis of past scheduling periods. IT teams can optimize their virtual/cloud environments by provisioning resources only when needed and deprovisioning idle resources. This helps IT minimize costs and saves IT time by automating the management of these resources.

Additionally, Scheduling Analytic tools interact with ActiveBatch’s Smart Queue to ensure that virtual and cloud-based systems are appropriately provisioned. ActiveBatch’s ability to intelligently automate the provisioning and allocation of resources to ensure the successful completion of workflows is critical to reducing the cost of IT operations.