Hybrid Cloud Management

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

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Intelligent Automation Delivers on the Benefits of Cloud Computing

Cloud and virtual resources have become indispensable for most organizations; however, managing these resources can be time-consuming and expensive. For example, cloud and virtual resources can drive up unexpected or unnecessary costs as systems continue to run long after they’re needed. Or, without intelligent automation, jobs can occupy resources that aren’t capable of completing the jobs (or completing them on time), creating significant workload bottlenecks.

ActiveBatch offers tools and integrations that help IT professionals easily and reliably manage automated processes within hybrid environments. With ActiveBatch, users can integrate, coordinate, and automate processes across disparate infrastructure resources from a single point of control. From efficiently allocating Job loads to scaling cloud resources, ActiveBatch facilitates the monitoring and managing of on-premise, private-cloud, and public-cloud resources.

Cloud/Virtual Machine Provider Integration

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. ActiveBatch offers integrations with prebuilt Job Steps for dozens of platforms, including:

Additionally, ActiveBatch provides robust event-driven automation capabilities, supporting dozens of events that can trigger other related Jobs.

Amazon Web Services (AWS) Marketplace Templates

ActiveBatch’s templated Amazon Machine Images (AMIs) available for instant usage on the AWS Marketplace allow for seamless environment scaling without the need for software installations, machine maintenance, costly and time-consuming procurement processes for on-premises IT infrastructure, and more.

Combining ActiveBatch’s powerful automation capabilities and flexible architecture with Amazon’s highly reliable, elastic cloud capabilities, organizations can quickly adapt to changing environmental conditions at any scale.

ActiveBatch Smart Queue Dynamically Scales Cloud Resources and Virtual Machines

ActiveBatch offers flexible, scalable tools that help IT monitor and manage virtual machines and private- and public-cloud resources. For example, ActiveBatch Smart Queue facilities dynamically scale machine resources up or down based on real-time demands and historical analyses of past scheduling periods. By implementing Smart Queue facilities, IT teams can optimize their virtual/cloud environments while minimizing unnecessary costs.

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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ActiveBatch Dynamic Queue Characteristics Help Pair Jobs with Suitable Machines

As IT environments scale, grow, and comprise larger numbers of servers, it becomes ineffective and time-consuming for personnel to manually search for machines capable of completing particular Jobs. With ActiveBatch Dynamic Queue Characteristics, users can instruct ActiveBatch to evaluate multiple execution machines before Jobs are submitted. Machines can be evaluated at runtime for characteristics like available disk space, registry value, or the presence of a particular application. Regardless of how many servers an organization is managing, Dynamic Queue Characteristics enable ActiveBatch to quickly and reliably submit Jobs to ideal machines.

Machine Learning Powers Heuristic Queue Allocation for Seamless Scalability

ActiveBatch Heuristic Queue Allocation (HQA) allows for seamless scalability by bringing the power of Machine Learning to IT Automation. HQA analyzes historical instance data and predicts the optimal allocation of Execution Queues across on-prem, private-cloud, and public-cloud resources. By intelligently distributing workloads across all resources in a hybrid IT environment, HQA improves workload performance and can sharply reduce slack time, optimizing resource usage and cutting down the costs associated with cloud computing.

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