Intelligently Distribute Resources for Agility
In our fast-paced world, organizations require flexible IT infrastructures that can quickly adapt to dynamic, real-time demands. With ActiveBatch Workload Automation, users can easily optimize the distribution of workloads to improve the likelihood of on-time, successful job completions while reducing idle machines by leveraging machine learning and predictive analysis.
Managing cloud and virtual resources can be time-consuming and expensive. For example, it’s common for these systems to continue to run long after they’re needed, driving up costs. Other jobs can take up resources even when they aren’t capable of completing successfully, causing workload bottlenecks that impact business.
With ActiveBatch, users can integrate and automate workloads across multiple platforms from a single point of control.
Improve System Usage with Visual Insights from Machine Load View
Users can better monitor system usage and available systems with ActiveBatch’s Machine Load View. Machine Load View provides IT operations with a better understanding and accounting of how systems and resources are being used by both ActiveBatch and non-ActiveBatch processes. Machine Load View features visual heat maps containing refined performance counter graphs that identify heavily used, lightly used, and available systems.
Dynamic Queue Characteristics Locate Optimal Resources for Completing Jobs
As IT environments scale, it becomes ineffective and time-consuming for IT to manually search for machines capable of completing certain jobs. With ActiveBatch Dynamic Queue Characteristics, users can instruct ActiveBatch to evaluate multiple machines before jobs are sent to run. Machines can be evaluated at run time for characteristics like available disk space, registry values, or the presence of an active service. No matter how many servers an IT team is managing, ActiveBatch will quickly and reliably submit each job to the optimal machine depending on its needs.
ActiveBatch Smart Queue Reduces Idle Machine Resources
ActiveBatch offers several flexible, scalable tools that help IT monitor and manage virtual machines, and private- and public-cloud resources. For example, ActiveBatch Smart Queue facilities will dynamically scale resources up or down based on real-time demands and historical analyses of past scheduling periods. By enabling Smart Queue, IT teams can optimize their virtual and cloud environments while minimizing cloud costs. Smart Queue's emphasis on cost management enables IT to maximize ROI on cloud infrastructure.
Machine Learning Powers Heuristic Queue Allocation for Seamless Scalability
ActiveBatch Heuristic Queue Allocation (HQA) allows for seamless machine scalability by bringing the power of machine learning to workload automation. HQA analyzes historical instance data and predicts the optimal allocation of systems across on-prem, private-cloud, and public-cloud resources. By optimizing how jobs are placed in a hybrid IT environment, HQA improves job performance and can sharply reduce slack time. This maximizes resource usage while minimizing the costs associated with cloud computing.
This scalable AIops capability means that users don't need to assign individual machines to each job, increasing IT's agility and speed when responding to business requests and changing demands.
Cloud Platform/Virtual Machine Provider Integrations
ActiveBatch offers integrations to help IT teams easily and reliably manage workloads and resources across on-premises, cloud, and hybrid environments. Cloud service providers supported by ActiveBatch include:
Plus, the ActiveBatch Service Library allows users to connect to API endpoints in minutes, allowing for no-code tie-ins with providers like Google Cloud, Rackspace, or other SaaS/PaaS cloud management platforms.
Improved Insight for Improved DevOps
ActiveBatch does more than offer orchestration and provisioning for hybrid cloud environments. ActiveBatch improves DevOps with hundreds of no-code integrations with data center management tools, BI and ERP tools, and more. With ActiveBatch, developers have a single location to build and automate all enterprise applications, cloud deployments, and IT services. At the same time, operators have better control over IT with a single pane of glass for day-to-day operations.
Plus, dozens of real-time views minimize time-to-insight and reveal problems faster. IT admins and decision makers can rest easy, knowing their cloud strategy and multi-cloud environments are scaling smoothly and their business end-users staying online.
Self-Service Portals Empower End Users to Take On the Cloud
The ActiveBatch Self-Service Portal keeps IT in control while empowering business users with safe, direct access to cloud solutions. Here's how:
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IT builds low-code workflows that connect to one or more cloud providers
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IT provides business users with self-service access to provision machines to provided specs
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Business users trigger workflows as needed, without relying on the enterprise IT team
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ActiveBatch controls the complete lifecycle from development to provisioning to complete audit trails and log files
Amazon Web Services Marketplace Templates
ActiveBatch’s AWS Marketplace AMIs, available for instant use, provide scalability without the need for software installs or machine upkeep, and without costly and time-consuming procurement for on-premises IT infrastructure.
Combining ActiveBatch’s powerful automation capabilities and flexible framework with Amazon’s highly reliable, elastic cloud, IT teams can quickly adapt to changing business needs at any scale.