This site uses cookies to offer you a better browsing experience. If you do not wish to allow cookies when using the site, you can modify your browser settings appropriately. If you require further information, you can learn more by visiting our Internet Privacy Page.



ActiveBatch  >  Core Capabilities  >  Views  >  Operations Views  >  Scheduling Analytics



Scheduling Analytics

Optimize resources and better meet SLA's with ActiveBatch's dynamic scheduling analytics capabilities.



schedulinganalytics.png

 


Intelligent Automation at your Fingertips
ActiveBatch allows user to optimize resources in the scheduling and execution of workloads with the goal of ensuring that service-level agreements (SLAs) and business deadlines are met. Scheduling analytics combines historical and predictive analysis by measuring behavioral insight such as historical workflow performance, resource availability and capacity, and based on upcoming workload schedules, makes future predictions about possible execution times and durations of workflows.

Additionally, scheduling analytics interacts with ActiveBatch's Smart Queue to ensure that virtual and cloud-based systems are correctly provisioned. ActiveBatch's ability to "intelligently automate" the provisioning and allocation of resources to ensure the successful completion of workflows is critical to reduce the cost of IT operations.



Improve SLAs with Built-in Critical Path Analysis SLA Monitor View
ActiveBatch provides users with a Critical Path Analysis View that provides statistical information about the workflow runtimes and SLA satisfaction rates, as well as real-time critical path analysis as workflows are executing, providing users with information pertaining to workflow execution with respect to SLAs and checks critical path priorities for workflows threatening to breach an SLA.

ActiveBatch highlights SLA-dependent workflows and can take action to prevent them from breaching:

  • Increase OS priority so when an executing workflow exceeds a certain percentage of its expected/historical runtime, scheduling analytics increases its OS priority with the goal of making it finish sooner.
  • Increasing Queue priority means any SLA-tied workflows receive critical path priority over other workflows within the queue.

To learn more about some of the specific ActiveBatch capabilities that drive Scheduling Analytics, visit our Smart Queue Management page.


ActiveBatch Overview
Workflow Management

x

How can we help you today?

Chat with Us Get Support