Control-M SaaS

My main use case for Control-M  is to control the batch for the day by scheduling the jobs, ensuring that all jobs run on time, and verifying that all conditions are met. Sometimes I force complete the jobs or rerun failed jobs by fixing the JCLs, and I ensure all batches are completed on time and all SLAs are met.

A specific example of a batch process I manage with Control-M  is a weekly job which runs from Monday to Friday on all working days, and I ensure the job is completed on time. I also verify that if any files are pending to process which that job needs, the file is available so that the job can run once the file is available. Such scenarios are common in my work.

Regarding my main use case, I work on automation and ensure that there are no human errors. Everything we use is up to date, and we make sure to follow the SOPs perfectly.

Control-M offers several best features, including its user-friendliness. Compared to TWS and CA 7, Control-M is a tool wherein if you get training for 10 to 12 days, you can learn almost everything, and it is very good and simple to use.

What makes Control-M user-friendly for me is that we connect through the client interface, which is easy to log in to, and there is no downtime for it. Control-M is only recycled weekly. It is straightforward to define and monitor the jobs and to get insights from the zoom panel. The coloring shows us in yellow if a job is executing, red if it has failed, and other colors for different conditions, making it simple.

Control-M has positively impacted my organization, especially when new team members join as their first assignment. It is a tool we can explain quickly, giving them a few sessions to work in production or development environments faster compared to other tools like CA 7 or TWS.

In our organization, we work for a banking client where we handle 10,000 jobs running on Control-M daily. Managing those jobs would be difficult with other tools due to visibility issues. With Control-M, it is easier to manage workloads and handle abends, and the chances of missing things are significantly less compared to command-based tools like CA 7.

Control-M can be improved in several areas. Last week when creating a job, I found that the option for global conditions could be more streamlined, as well as the in and out conditions, which are a bit complicated. Integrating more AI options, such as automatically marking jobs that are known to fail as complete, would be beneficial.

I have been using Control-M for the last 16 years.

Control-M is 100% stable.

Regarding scalability, I would say it is good and there are always possibilities for scalability.

Customer support from BMC, who owns Control-M, is excellent. They provide good support for critical issues, and I would rate it 99% out of 100.

I have experience working on CA 7 and TWS. While CA 7 is a good tool, Control-M is better due to its simplicity and less complicated nature.

To deploy Control-M, I would say two resources would be sufficient for proper installation and defining architecture, security levels, and access control.

In our team, approximately 24 users utilize Control-M, with 15 members working 24/7 for batch operations and nine members focusing on scheduling tasks during business hours.

Regarding return on investment, training a resource on Control-M allows them to handle two or three clients at the same time, thus saving costs for the company and making it easier to train.

Those things are managed by the sales team. I do not have much visibility regarding pricing, setup cost, or licensing.

We evaluated Jobtrac, CA 7, and TWS before making our decision.

The biggest lesson I have learned from using Control-M is time management, reliability, and the tool's availability, which makes our work easier.

I advise that if you have banking or insurance requirements or operate in a small industry, you can definitely consider Control-M as your first option.

I provided this review with an overall rating of 10 out of 10.

I have been working with Control-M  for about six months as part of my role. During this time, I have mainly used it for monitoring and managing batch jobs and automated workflows.

Our main use case for Control-M  is managing and monitoring batch workflows across different systems. We use it to schedule jobs that run scripts, database processes, and ETL-related tasks. We make sure they execute in the correct order based on dependencies. On a daily basis, I mostly work with monitoring job runs, checking job statuses, and troubleshooting failures when a job does not complete successfully. We also review logs, rerun jobs when needed, and make sure the workflows complete within the expected time windows. Control-M helps centralize all this so we can track and manage automation more efficiently instead of handling tasks manually.

One of the examples for centralized monitoring in Control-M is the ability to view the status of all the scheduled jobs from a single dashboard. Instead of checking multiple systems individually, we can see whether jobs are running, completed successfully, or failed in one place. For example, if a job that runs a database script fails during the night schedule, we can quickly identify the failure from the monitoring interface, review the logs, and rerun the job if needed. This helps the team respond faster and keep the workflow running smoothly.

One of the best features of Control-M is its ability to manage complex job scheduling and dependencies across different systems from a single platform. It makes it much easier to automate workflows and monitor job execution in real-time. The centralized monitoring and alerting help us quickly identify failures and take action, which improves reliability and reduces manual effort.

Control-M has had a positive impact by improving the automation and reliability in our batch processing workflows. It helps ensure that jobs run in the correct sequence and reduces the need for manual intervention. The monitoring and alerting features have also made it easier to detect failures early and resolve issues quickly, so it helps keep our scheduled processes running smoothly.

One area that could be improved is the user interface. While the platform is very powerful, the UI can sometimes feel complex for new users, and it may take time to become familiar with all the features. Improving it and making the navigation more intuitive would help teams adopt it more quickly.

Another improvement could be simplifying the initial setup configuration process for organizations that are implementing Control-M for the first time.

I have been employed for almost four years, approximately three years and ten months.

Control-M is definitely stable. In my experience, once workflows and jobs are properly configured, it runs reliably and handles scheduled processes consistently. Most issues we encountered are usually related to the jobs themselves rather than the platform, and the monitoring tool helps identify and resolve them quickly.

Control-M is quite scalable in my experience. It can handle a large number of jobs and workflows across different systems without major performance issues. As the workload grows, it is possible to expand the environment and manage additional processes while still maintaining centralized monitoring and control.

Customer support has generally been good. The support team is responsive and provides helpful guidance when issues arise. The documentation and knowledge base resources are also useful for troubleshooting common problems.

Before using Control-M, some workflows were handled through basic scheduling tools and manual scripts. Moving to Control-M helped centralize job scheduling and monitoring, making it easier to manage dependencies and automate processes more reliably.

The biggest lesson I learned while working with Control-M is the importance of properly defining job dependencies and workflows during the initial setup. When dependencies are clearly configured, the automation runs smoothly and requires less manual intervention. It has also highlighted how valuable centralized monitoring is because it allows teams to quickly identify and resolve issues before they impact downstream processes.

We are just a user.

For return on investment, we have experienced improved automation and reduced manual effort. In terms of operational efficiency, automation through Control-M has reduced manual overhead by around twenty to thirty percent, especially for routine batch job monitoring and scheduled tasks.

I have no idea how the pricing, setup, and cost licensing is done. It is done by the finance department.

We saw the working methodology of Control-M, how batch jobs are handled, and how the automation works, so we just went for Control-M.

With job scheduling and workflow automation, this automation has increased the scheduling time by fifty percent. The monitoring task has been reduced by twenty to thirty percent. Instead of going on multiple tabs, we can view it at once. Workflow management through the technologies is a bit of a complex task. As we have used this, we can implement it. For new users, it might be a bit complex.

Currently, we have been using this for the past six months. We are seeing good, positive results. The automation workflow is also good, and the batch scheduling jobs are definitely good. We will still want to try it on different platforms and then decide on any further usage or increase in usage of Control-M.

In production, this workflow is mainly through the monitoring and reporting features in Control-M. We check the job status to make sure the scheduled process completes successfully within the expected time window. If the job fails or is delayed, we review the logs again, analyze the dependency chain, and rerun or troubleshoot the job if needed. This helps ensure that the overall production workflow continues without impacting downstream processes.

One piece of advice I would give is to spend time planning the job dependencies and workflows carefully during the initial stages. If the workflow is well-structured, Control-M can automate processes very efficiently and reduce manual intervention repeatedly.

Overall, Control-M has been a reliable solution for managing automated workflows and scheduled jobs. It provides good visibility into job execution and helps teams maintain operational stability. I gave Control-M a rating of eight because it is a very reliable solution for scheduling jobs and automating workflows, and it helps me manage complex job dependencies and provides good monitoring capabilities, which makes it easier to track and troubleshoot batch processing. The reason I did not rate it higher is that the interface can feel complex for new users, and the initial setup and learning curve could be improved. With some improvements to the user interface and onboarding experience for new users, it could become even more effective.