Turbocharge Your Multi-Cloud Operations with Workload Automation
Cloud and virtual resources are already critical to day-to-day operations and cloud adoption continues to rise. Managing these systems can be time-consuming and expensive. For example, it’s common for cloud and virtual systems to continue to run long after they’re needed, driving up costs. Other jobs can take up resources even when those resources aren’t capable of completing those jobs successfully, causing workload bottlenecks that impact business.
With ActiveBatch, users can integrate and automate workloads across multiple platforms from a single point of control.
Microsoft Azure Automation
ActiveBatch can assist with Azure orchestration in three key ways:
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Execute workloads across Azure systems and dynamically scale machine resources to meet current demands and minimize machine spend
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Automatically provision and de-provision Azure resources based on events like ServiceNow or SCSM ticket creation, self-service requests, or other criteria
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Install ActiveBatch on Azure systems for highly reliable scheduling and orchestration of end-to-end workflows
Intelligent Automation for Hybrid and Multi-Cloud Orchestration
Cloud Platform/Virtual Machine Provider Integrations
ActiveBatch offers tools and features 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.
Smart Queue Dynamically Scales Virtual and Cloud Resources
ActiveBatch offers flexible, scalable tools that help IT monitor and manage virtual machines and private- and public-cloud resources. For example, Smart Queue dynamically scales machine resources up or down based on real-time demands and historical analyses. By enabling Smart Queue, IT teams can optimize their virtual and cloud environments while minimizing cloud costs. Smart Queue's emphasis on cost management ensures IT maximizes its ROI on its cloud infrastructure.
Machine Learning Powers Heuristic Queue Allocation for Resource Optimization
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.
Eliminate Job Placement Guesswork
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, plugins, or the presence of an active service. For example, a workload may require a Linux operating system or a Python installation to execute the payload. No matter how many servers an IT team is managing, ActiveBatch will quickly and reliably submit each job to an optimal machine depending on its needs.
Improved Insight for Improved DevOps
ActiveBatch does more than offer IT 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, open source tools, code-based schedulers like Puppet and Chef alternatives, and more. With ActiveBatch, developers have a single location to build and automate all enterprise applications, cloud deployments, other infrastructure (Ansible, Docker/Kubernetes containers, etc.) and IT services. At the same time, operators have better control over IT ops with a single pane of glass for day-to-day IT 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 stay online.
Self-Service Portals Empower End Users to Take On the Cloud
The ActiveBatch Self-Service Portal keeps IT in control of configuration management and job payloads, 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