Control-M is our primary workload scheduling software, and we aim to utilize it for linking applications, hardware, and data transfers. Ideally, it should be the core component of our architecture. While we have started to expand its use over the past couple of years, we are not fully there yet.
A significant portion of our incoming files is handled through Managed File Transfer (MFT) Enterprise, which is an extension of Control-M. We have been utilizing this solution increasingly for both external and internal file transfers. Additionally, we rely on Control-M to schedule SAP jobs, which is one of its key functionalities. We also schedule a substantial portion of our data warehouse production using Control-M.
As a health insurance company, we have a main internal application that heavily depends on Control-M. For instance, many incoming files need to be decoded and processed for our internal application, followed by a job that transfers the data into our databases. We have recently begun to use Control-M for the maintenance of various databases, such as SAP HANA, Oracle, and Postgres. This aspect of our usage is constantly growing.
Another significant aspect of our workflow involves creating customized job types for our clients. For example, some files we receive are encoded and zipped, for which there is no default Control-M job. To address this, we frequently use the Application Integrator to provide additional functionalities not currently available in Control-M. This allows us to automate tasks that would otherwise require manual intervention, such as extracting contents from ZIP files.
We are also standardizing processes with Control-M, providing standard job types for all our customers. This includes file renaming, combining files, or separating them based on specific application types. For instance, we receive files that contain multiple text files, which we may need to split or combine into a certain format when sending them out.
In summary, we are dedicated to making Control-M our primary workload automation and orchestration software. Recently, we've begun integrating Control-M with Ansible to manage patch routines for our Linux and Windows servers. The challenge has been linking these patch routines with our application jobs. We've started this integration so that whenever there is a patch, our applications automatically halt until we receive confirmation from Ansible. We frequently use the Control-M API for this purpose, enabling seamless coordination between Ansible and Control-M. Overall, these are the main use cases we are currently implementing with Control-M, and we continually seek to expand its applications across our operations.