Best Workload Automation Software for Elastic Cloud

Compare the Top Workload Automation Software that integrates with Elastic Cloud as of June 2025

This a list of Workload Automation software that integrates with Elastic Cloud. Use the filters on the left to add additional filters for products that have integrations with Elastic Cloud. View the products that work with Elastic Cloud in the table below.

What is Workload Automation Software for Elastic Cloud?

Workload automation software helps organizations streamline and manage repetitive tasks, scheduling and automating workflows across various applications and systems. It enables businesses to automate data processing, batch jobs, and other time-sensitive tasks, reducing the need for manual intervention. By centralizing and orchestrating these tasks, workload automation software improves operational efficiency, reduces errors, and ensures timely completion of critical processes. The software often includes monitoring and alerting capabilities, allowing IT teams to identify and resolve issues proactively. Ultimately, workload automation enhances productivity, optimizes resource utilization, and supports compliance with operational standards. Compare and read user reviews of the best Workload Automation software for Elastic Cloud currently available using the table below. This list is updated regularly.

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    BMC AMI Ops Automation for Capping
    BMC AMI Ops Automation for Capping. Automate workload capping to avoid risk and optimize costs. BMC AMI Ops Automation for Capping (formerly Intelligent Capping for zEnterprise) applies automated intelligence to manage business-critical MSU capacity settings to avoid operational risk, optimize costs, and meet the needs of digital demand. Automatically manage capping limits to prioritize workloads and optimize mainframe software license costs which can consume 30-50% of the IT budget. Dynamically automate defined capacity MSU settings to optimize your monthly software costs by 10% or more. Mitigate business risk by analyzing, simulating, and automatically managing changes to defined capacity settings based on workload profile. Align capacity to business demand by ensuring MSUs are allocated to highest priority workloads. Patented technology drives capping adjustments, ensuring the most business-critical services are unaffected.
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