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AutoSys Workload Automation

AutoSys Workload Automation
Formerly CA Workload Automation AutoSys

Overview

What is AutoSys Workload Automation?

Broadcom offers AutoSys Workload Automation, a solution to enhance visibility and control of complex workloads across platforms, ERP systems, and the cloud. It helps to reduce the cost and complexity of managing mission critical business processes, ensuring consistent and reliable…

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What is AutoSys Workload Automation?

Broadcom offers AutoSys Workload Automation, a solution to enhance visibility and control of complex workloads across platforms, ERP systems, and the cloud. It helps to reduce the cost and complexity of managing mission critical business processes, ensuring consistent and reliable service delivery.…

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  • Premium Consulting/Integration Services

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Product Details

What is AutoSys Workload Automation?

Broadcom offers AutoSys Workload Automation, a solution to enhance visibility and control of complex workloads across platforms, ERP systems, and the cloud. It helps to reduce the cost and complexity of managing mission critical business processes, ensuring consistent and reliable service delivery.

The solution features:
  • Deployment either entirely or partially in a private/public cloud, traditional on-premise or in a hybrid environment
  • Natively support for both SOAP and REST web service protocols
  • Dynamic workload placement across physical, virtual and cloud resources to optimize utilization and handle spikes in processing
  • Web service allowing developers to write queries against automation engines
  • Integration of Hadoop jobs, like HDFS, PIG, HIVE, SQOOP, Oozie
  • Visibility and control of Hadoop based applications with a single view of workflows across the entire IT environment
  • Intuitive design of Hadoop and other applications workflows with no coding
  • Self-service for data scientists to execute workload processing without the need of IT specialists

Additional key features include:
  • Multi-Platform Scheduling - Manage and visualize a business process end-to-end across platforms from a central point of control.
  • Extreme Scalability - To provide similar production scalability, other systems often require multiple server instances, undermining their ability to centrally monitor and control workload across physical, virtual, and multi-cloud environments.
  • Extensive Application Support - Manage workloads for business applications such as SAP, PeopleSoft, Oracle E-Business, and others, resulting in lower operating costs and increased cross-enterprise visibility.
  • Built-in Fault Tolerance - Reliable, lights-out operations with intelligent, automated recovery facilitates availability of business systems by enabling jobs to be completed accurately and on time.
  • Self Service - End-users have the ability to request and to execute workload processing that is controlled by workload policy and governance processes, giving business more control over their own services.
  • Security and Compliance - Better meet regulatory compliance requirements by defining access permissions at any level, and if there are problems, view what was changed by whom and when.

AutoSys Workload Automation Videos

AutoSys Workload Automation Digital Workloads in the Cloud
AutoSys and Cloud Native Apps and Workloads
AutoSys Plugin Extension for Databricks
AutoSys Plugin Extension for Azure Data Factory
AutoSys Plugin Extension for CloudFoundry

AutoSys Workload Automation Technical Details

Deployment TypesOn-premise, Software as a Service (SaaS), Cloud, or Web-Based
Operating SystemsWindows, Linux
Mobile ApplicationNo
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Comparisons

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Reviews

Community Insights

TrustRadius Insights are summaries of user sentiment data from TrustRadius reviews and, when necessary, 3rd-party data sources. Have feedback on this content? Let us know!

AutoSys Workload Automation has been widely used in various industries to streamline and automate critical tasks. Retail companies have utilized the software to submit daily reports, conduct file transfers, and manage store replenishment requirements from a centralized location. Customers have praised the ease of creating jobs in all environments, from development to production, allowing for efficient data processing and scheduling of batch data pipelines. Additionally, AutoSys has proved valuable in scheduling sales reports and triggering dashboard jobs based on specific events.

In the field of big data processing, AutoSys has played a crucial role in scheduling and automating Hadoop jobs, providing users with the ability to monitor logs effectively. This feature has been particularly beneficial in the insurance sector, where the software has been used to schedule data pipelines for customer acquisition. Moreover, AutoSys has resolved monitoring and scheduling challenges for projects by capturing success, failure, and other logs for easy analysis.

Overall, AutoSys Workload Automation has significantly reduced manual effort and complexity across platforms while driving cost savings and improved efficiency. Regression testing has been streamlined, resulting in shorter test cycle durations. The software's ability to automate daily tasks, enhance job management, facilitate file transfer protocol, and file watching has also garnered positive feedback from users. With its comprehensive application support and seamless integration with SAP, AutoSys offers flexibility, scalability, stability, and easy-to-use functions that meet the needs of various industries.

Easy Setup and Management: Many users have found the setup and object status of the workload management system to be simple and transparent, making it easy to manage tasks across multiple platforms. The user-friendly interface and intuitive design allow for efficient task management without extensive training.

Seamless Job Scheduling: Users have praised Autosys for its ease of scheduling jobs and seamless migration from development to production environments. The flexibility in creating JILs and migrating existing jobs adds value to the overall workflow management process.

Effective Monitoring Capabilities: Several users have highlighted the monitoring capabilities of Autosys as a valuable feature. With end-to-end visibility of applications, quick job status checks, descriptive logs, and dashboard views, users can easily monitor their workflows and make informed decisions based on real-time data.

Lack of Integration with Cloud Support: Some users have mentioned concerns about the software's limited integration with cloud support, particularly in relation to AI. This drawback has resulted in difficulties in generating reports and leveraging the power of cloud computing for data processing and analysis.

Limited Customization Options for Reports: Reviewers have expressed a desire for better customization options for reports to enhance their effectiveness and meet specific requirements. For example, they would like more control over report formatting, layout, and the ability to add custom branding elements.

Absence of Dynamic Job Creation Feature: Many users have noted that the software lacks the capability to create dynamic jobs, which is available in similar tools. This limitation hampers flexibility and automation in job scheduling and management. They feel restricted by not being able to define jobs programmatically or dynamically based on certain conditions or rules.

Users have made several recommendations based on their experiences with AutoSys. The most common recommendations are:

  1. AutoSys is highly regarded as a reliable automation and monitoring tool, effectively automating various types of workflows.
  2. Users find AutoSys easy to use, requiring minimal effort to learn and utilize.
  3. AutoSys is recommended as a suitable solution for workload automation, especially for tasks with high CPU and core requirements.

In addition, users appreciate that AutoSys is easily scalable and supports multi-cloud and multi-environment integration. They believe it is beneficial for businesses of all sizes, including small to medium-sized organizations.

Sorry, no reviews are available for this product yet

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