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Workload automation
Updated on Apr 9, 2025

AutoSys in 2025: Key Features and User Insights

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Google trends image showing the interest in AutosysGoogle trends image showing the interest in Autosys

Interest in Broadcom’s AutoSys is declining (Source: Google Trends) and it has a lower average rating on review platforms compared to most other workload automation tools. This may be partially explained by: 

  • Reviewers highlighted AutoSys’s limited features compared to the competition.
  • Broadcom supporting 8 workload automation solutions1 and 1 automation analytics solution2 with overlapping capabilities, which may divert focus from developing new functionality for AutoSys.

Dive into AutoSys’s capabilities, user evaluations, and outlook to learn more:

What is Broadcom’s AutoSys?

AutoSys was originally developed by CA Technologies and acquired by Broadcom in 2018.

As a part of Broadcom’s workload automation providers (AutoSys and Automic Automation), AutoSys works as an IT process automation and batch scheduling software that allows visibility to complex workloads and cloud computing by:

  • mapping workflow processes,
  • monitoring to reduce the cost and complexity of IT business processes.

AutoSys can increase business responsiveness with dynamic workload deployment across on-premises and public cloud environments. 

AutoSys also enables reliable and flexible integrations with business applications. With AutoSys, businesses can receive forecasts and automatic actions for overdue jobs. 

Insights from user assessments

Note: Statements in the pros and cons sections are based on reviews from real users obtained from B2B review platforms, including G23 and PeerSpot4 .

AutoSys pros

  • Users find AutoSys’s workload automation feature easy to use for both technical and nontechnical users and has high availability.
  • Users praise solution’s high scalability to run workflows at the same time and acts as a single point of contact for all business solutions.
  • AutoSys is considered as a stable solution and batch processing features are found to be highly beneficial.
  • AutoSys customer support services are praised for their prompt responses.

AutoSys cons

  • Long time customers experienced price increases and have contacted us regarding alternatives.
  • Users state that AutoSys lacks creation of dynamic job features.
  • Users advise AutoSys to integrate a monitoring and managing feature for workload windows to reduce downstream applications.
  • Users highlight the lack of integration in cloud support with AI and customization options for reports.
  • Focuses heavily on command-line interfaces, which lowers usability.

Components of AutoSys workload automation

AutoSys workload automation consists of several key components that work together to manage and automate job scheduling across different environments:

Event server (database)

Event server is the central repository storing all AutoSys objects, such as jobs, machines, and calendars, along with job events.

The application server manages these objects, and the scheduler retrieves event-related data from the event server.

AutoSys supports various databases like Oracle, Sybase, and Microsoft SQL Server by using specific communication protocols for database interactions.

The system can be configured with dual event servers for high availability to ensure operations continue if one server fails.

Application server

The application server acts as the communication hub between the event server and client utilities.

It processes requests from clients, interacts with the event server, and returns responses.

Scheduler

Scheduler is the core component that processes job events by continually scanning the database.

It determines job actions and communicates with agents to execute or monitor jobs.

AutoSys supports high availability through a shadow scheduler, which takes over if the primary scheduler fails, and a tie-breaker scheduler to resolve conflicts in dual event server setups.

Agent and agent plug-ins

Agents facilitate the automation and management of workloads across different platforms.

They can be extended with plug-ins for specific tasks, such as interacting with databases or specific applications like SAP or Oracle.

Client

Clients are any executables that interface with the application server, including command-line tools (like JIL and autorep) and Web UI services.

Clients allow users to manage the scheduling environment by creating and monitoring jobs.

Web server

Apache Tomcat serves as the default web server for hosting web services in AutoSys. It is automatically installed and configured during the setup of AutoSys.

Web server handles communications between the Web UI and other components using specific ports.

Autosys workload automation components.

Figure 1: AutoSys workload automation components.5

AutoSys key features

Multi-platform job scheduling

AutoSys enables the management and visualization of end-to-end business processes with event-based triggering, real-time alerting, and dynamic critical path management.

It also provides a centralized point of control for integration and coordination of workload automation and job scheduling tasks across different systems and environments.

Jobs in AutoSys can be defined using the Job Information Language (JIL) or through the Web UI, with attributes that control when, where, and how jobs run.

AutoSys supports various job types, including command jobs, FTP jobs, and box jobs (containers for other jobs).

Monitoring and managing jobs

AutoSys provides real-time status updates for all jobs, including queued, running, success, failure, or terminated states.

It can also manage complex job dependencies and send notifications or trigger actions based on job outcomes or system conditions.

Scalability

Without the need for multiple servers, AutoSys can provide scalable monitoring and controlling of workloads across physical, virtual, and multi-cloud environments.

Built-in fault tolerance

With its built-in fault tolerance feature, AutoSys allows for an automated recovery for mission critical business processes by performing path analysis and forecasting while ensuring consistent workload automation. 

Users can receive notifications about the overdue jobs as well as bypassing less critical jobs.

Self-service

AutoSys provides end-users the ability to request and execute workload processing within the boundaries of established workload policy and governance frameworks.

This self-service capability allows businesses to have more control and flexibility while ensuring reliable service delivery.

Application support

The platform offers workload management for key business applications like SAP, PeopleSoft, and Oracle E-Business Suite.

This feature can contribute to reduced operating costs and enhanced visibility, which leads to more streamlined operations and improved efficiency.

To learn more about job scheduling and workload automation providers, check out AutoSys alternatives.

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Cem has been the principal analyst at AIMultiple since 2017. AIMultiple informs hundreds of thousands of businesses (as per similarWeb) including 55% of Fortune 500 every month.

Cem's work has been cited by leading global publications including Business Insider, Forbes, Washington Post, global firms like Deloitte, HPE and NGOs like World Economic Forum and supranational organizations like European Commission. You can see more reputable companies and resources that referenced AIMultiple.

Throughout his career, Cem served as a tech consultant, tech buyer and tech entrepreneur. He advised enterprises on their technology decisions at McKinsey & Company and Altman Solon for more than a decade. He also published a McKinsey report on digitalization.

He led technology strategy and procurement of a telco while reporting to the CEO. He has also led commercial growth of deep tech company Hypatos that reached a 7 digit annual recurring revenue and a 9 digit valuation from 0 within 2 years. Cem's work in Hypatos was covered by leading technology publications like TechCrunch and Business Insider.

Cem regularly speaks at international technology conferences. He graduated from Bogazici University as a computer engineer and holds an MBA from Columbia Business School.
Sıla Ermut is an industry analyst at AIMultiple focused on email marketing and sales videos. She previously worked as a recruiter in project management and consulting firms. Sıla holds a Master of Science degree in Social Psychology and a Bachelor of Arts degree in International Relations.

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