Hybrid IT Resource Provisioning & Seamless Scalability

Improve workload success rates and the ability to scale across hybrid IT infrastructure environments.

Intelligent Automation Delivers on the Benefits of Cloud Computing

Cloud and virtual resources have become indispensable for many businesses. However, managing these resources can be time-consuming and expensive. Without continuous management, cloud and virtual resources can drive up unexpected costs as systems keep running long after they’re needed, and as uncoordinated Jobs create workload bottlenecks.
ActiveBatch offers several flexible, scalable tools that help IT monitor and manage virtual machines, and private- and public-cloud resources. For example, ActiveBatch Managed/Smart Queue facilities will dynamically scale resources up or down based on real-time demands and historical analyses of past scheduling periods. By implementing Managed/Smart Queue facilities, IT teams can optimize their virtual/cloud environments while minimizing unnecessary costs.
Additionally, the ActiveBatch Integrated Jobs Library offers Job Steps for private/public, virtual- and cloud-based resources that allow users to easily and reliably construct workflows that include actions like provisioning, deprovisioning, terminating, managing, configuring resources, and more. Additionally, ActiveBatch provides robust event-driven automation capabilities, supporting dozens of events that can trigger other related tasks. Integrations include:

White Paper for ActiveBatch WHITE PAPER:

Solving the Cloud Resource Management Problem with IT Automation

This white paper discusses the challenge of managing and monitoring virtual and cloud resources and how automation can help improve resource optimization and minimize costs.
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Machine Learning Powers Heuristic Queue Allocation for Seamless Scalability

ActiveBatch comes equipped with Heuristic Queue Allocation (HQA), a unique feature that leverages machine learning to optimize the allocation of queues. HQA analyzes historical Instance data and environmental statistics to anticipate the optimal allocation of future queues, intelligently distributing Jobs across available and acceptable resources to minimize slack time and reduce idle machine resources. With HQA, users don't need to assign individual machines to each Job; this scalable approach allows IT to operate with more agility and speed when responding to business requests and changing demands.

Dynamic Queue Characteristics Help Pair Jobs with Machines Capable of Completing Them

Users can assign custom Dynamic Queue Characteristics, instructing ActiveBatch to evaluate multiple servers before submitting Jobs to the servers on which they will run. For example, execution machines can be monitored and evaluated at runtime for characteristics like available disk space, registry values, or the presence or absence of a particular application. Using these characteristics helps to ensure Jobs are paired with machines capable of completing the tasks, while reducing the overhead associated with monitoring and managing execution machines on a one-off basis.

Improve System Usage with Visual Insight from Machine Load View

Users can better monitor system usage and available systems with ActiveBatch’s Machine Load View. Machine Load provides IT Operations with a better understanding and accounting of how systems and resources are being used by both ActiveBatch and non-ActiveBatch processes with a visual heat map containing refined performance counter graphs that identify heavily used, lightly used, and available systems.
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