ActiveBatch Dashboard

The Dashboard provides a dynamic visualization of the health and performance of the ActiveBatch IT Automation system.

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Highly Customizable, Visual Interface for Improved Insight

ActiveBatch’s Dashboard is a standalone program that provides a simple, visual interface for the entire automation environment. The Dashboard provides a visual representation of ActiveBatch performance, Job Scheduler health, and workload analytics. The Dashboard helps users better understand the health and performance of their automation environment. 

Monitor Real-Time and Historical Progress

Using the Dashboard, Developers and Operations can quickly and efficiently monitor both the real-time and historical progress of their business and IT operational workflows through visual aids that map key performance metrics. ActiveBatch supports the use of multiple views, allowing different users and departments to toggle between different types of information. 

Support for a Variety of Graphing Elements and Reporting ToolsActiveBatch Dashboard with analytics, monitoring, visualization, and health performance of Job Scheduler

ActiveBatch's Dashboard includes four graphing elements: Line Graph, Bar Graph, Pie Chart, and a special Job Scheduler Health graph element. Operational and historical counters can be set to identify and present data on executing Jobs, waiting Jobs, total active Jobs, success rates, failure rates, SLA Jobs, and more. Additionally, the Dashboard supports a variety of reporting tools, such as placing Alerts on counters, providing users with a notification when a given counter has reached a certain alert level.

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ActiveBatch Workload Automation Overview

Driven by marketplace demands, regulatory requirements, and rapidly changing IT environments, IT organizations are automating increasingly complex business and IT operational processes that span distributed environments comprised of various applications, databases, technologies, and process types. As a result, organizations need to automate workflows in order to quickly and reliably pass data and manage dependencies between systems and technologies.
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