Rocket® Zeke

For enterprise-wide systems management and job / process management for IBM® z/OS®.

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Automate your entire mainframe job scheduling

Rocket® Zeke is the advanced automated mainframe job scheduling software that optimizes your workload through real-time, logical, and physical resource control to automatically check condition codes at every step and to react in real time.

Rocket Zeke schedules and submits events at machine speed, and it improves system efficiency and throughput by checking physical and logical resources before job dispatching. It checks step-level condition code for you by utilizing the IBM® SMF facility and allows job cancellation based on condition codes.

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Features

Schedule View

Easily view schedule information on a single screen and gain highlighted exceptions automatically by using the Schedule View feature.

Import / Export facilities

Use import/export facilities to ease migration across Rocket Zeke for z/OS implementations or to move from test to production environments.

Direct integration

If you need advanced automation in the Cloud or with many applications off the mainframe, Rocket Zeke directly integrates with Rocket® Zena® and Rocket Enterprise Orchestrator. 

Scheduling Environment Manager

If your ecosystem has multiple instances of Rocket workload automation products, you can add Rocket Scheduling Environment Manager to centrally monitor your scheduling environments across all three platforms.

Rocket Software recognized as a Challenger in the 2025 Gartner® Magic Quadrant for two years in a row

Rocket Zeke is a core part of our Service Orchestration and Automation Platform (SOAP) strategy, delivering enterprise-wide mainframe job scheduling. We think this Challenger recognition validates Zeke’s role in helping organizations ensure reliability, scalability, and innovation across hybrid IT environments.

 

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GARTNER is a registered trademark and service mark of Gartner, Inc. and/or its affiliates in the U.S. and internationally, and MAGIC QUADRANT is a registered trademark of Gartner, Inc. and/or its affiliates and are used herein with permission. All rights reserved. Gartner, Magic Quadrant for Service Orchestration and Automation Platforms,  Hassan Ennaciri, Daniel Betts, et al., 26 August 2025.

Gartner does not endorse any vendor, product or service depicted in its research publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner’s research organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose.

Available add-ons

AI Predictive Pulse

AI Predictive Pulse uses AI-powered analytics to predict and prevent business service interruptions. By unifying data from multiple third-party schedulers, it automatically monitors, analyzes, and helps resolve potential issues before they impact your operations. This proactive approach saves time, prevents SLA failures, reduces manual effort, and makes workload automation easier—even for users without specialized mainframe skills 

Self-Service Automation

Self-Service Automation lets authorized business users securely trigger and manage approved automated processes themselves—without relying on IT—making automation more accessible while maintaining security and control. 

Scheduling Environment Manager

Scheduling Environment Manager is a central monitoring tool that lets you view, organize, and manage multiple scheduling environments (like Enterprise Orchestrator, Zeke, and Zena) from one place. It provides dashboards, custom views, and quick access to act in each environment. 

Resources

Webinar

AI Predictive Pulse Webinar

Webinar

What’s New and Exciting for Zena, Enterprise Orchestrator, and Zeke

Datasheet

Rocket® AI Predictive Pulse

Datasheet

Rocket® Scheduling Environment Manager

Datasheet

Rocket® Zeke

Infographic

5 Signs You Need AI in Workload Management