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Find out what your peers are saying about Microsoft, GitLab, Red Hat and others in Release Automation.
| Company Size | Count |
|---|---|
| Small Business | 2 |
| Midsize Enterprise | 2 |
| Large Enterprise | 9 |
| Company Size | Count |
|---|---|
| Small Business | 13 |
| Midsize Enterprise | 5 |
| Large Enterprise | 79 |
Deliver apps at pace with agile development and let customer satisfaction soar.
Today, the pressure is on to transform how you deliver applications to market. Get release agility and speed without compromising quality and stability with CA Continuous Delivery Automation. Deliver apps reliably on demand from development through production—mobile to mainframe. Agilely scale as the cadence, volume and complexity of your apps grow. It’s DevOps-ready release management and automation for your dynamic enterprise.
AutoSys Workload Automation delivers comprehensive scheduling capabilities and integration features, offering users scalability and efficiency in automation across platforms. Its enhanced user-friendliness and security make it a reliable choice for job scheduling and workload management.
AutoSys Workload Automation is well-regarded for its stability and intuitive graphical interface which facilitates efficient job scheduling across platforms. Users find its security features effective in ensuring controlled access, and appreciate its ability to handle high volumes of jobs while providing seamless orchestration and monitoring. However, the interface could benefit from modernization. Enhancements are suggested for reporting features and job flow clarity. Its integration with mobility and cloud platforms requires improvement as current support remains limited. Improving monitoring capabilities, managing cross-application dependencies, and simplifying upgrades are essential. Additionally, addressing the costly licensing model and enhancing high-level system process views are significant for maintaining competitiveness in automation.
What are AutoSys's key features?AutoSys Workload Automation is extensively used in industries like banking, insurance, and retail for job scheduling, batch management, and server workload automation. It supports data processing for enterprise tasks, monitors tasks, and manages cross-platform dependencies, proving to be a reliable tool for complex job orchestration in these sectors.
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