We use the product as our primary application tool for workload automation. It helps monitor and manage client domains in terms of configuration daily.
The product has enhanced the interface with a clear visual display of data and process batches, showing the completion status of workflows. It makes it easier to understand our organization's progress at a glance.
The platform integrates with Jenkins, Ansible, Docker, and Kubernetes. It can schedule and manage container workflows.
Integrating new solutions into the DevOps toolchain with the right approach and resources is straightforward. However, sometimes it can be complex.
It offers excellent visibility and management capabilities. It provides a centralized platform for monitoring and managing workflows and job scheduling. It supports various scheduling options, including time-based, event-based, and condition-based scheduling, allowing users to automate complex workflows efficiently.
It has simplified the process by streamlining the data workflow. It facilitates data extraction from sources, transforms it as needed, and loads it into the destination database. This comprehensive support for data extraction, transformation, and loading (ETL).
It is highly effective for building, scheduling, managing, and monitoring production workflows. For instance, it allows us to set up ETL processes to run at specific times, such as daily at midnight or in the morning. This precise scheduling ensures that all dependencies are met and tasks are executed in the correct sequence. For example, the transformation job is scheduled to start after the extraction job has been completed.
Operational efficiency is crucial as it reduces processing time. Faster data flow means job workflows are completed more quickly, reducing processing time. It is essential for meeting tight deadlines and maintaining smooth operations.
While numerous scheduling solutions are available, BMC's Control-M is highly effective for managing and orchestrating workflows across an enterprise.
The platform's best features are the monitoring capabilities. It is essential for tracking activities and ensuring jobs run smoothly. Additionally, the scheduling capability excels in building, scheduling, managing, and monitoring production workflows. These features are critical to our organization's operations and efficiency.
They could enhance the product's data flow, job processing speed, and efficiency.
Additionally, improvements are needed in real-time monitoring and alerts. Developing more robust real-time analytics capabilities to monitor and report the performance status of DevOps workflows would be beneficial.
I have been using Control-M for one and a half years.
It is a stable product. I rate the stability a nine.
Our organization has a team of 50 executives who use the product.
It is scalable. I rate the scalability a nine.
BMC's service team significantly supported the development of our migration plan for the Standard AutoCorrelation Controller (SGP). Their assistance involved several key steps. First, they helped us identify and map out the different requirements and dependencies, including how SGP jobs interact with one another and their integration within Control-M. The migration plan included phases for testing, fallback strategies, and execution. Post-migration validation was crucial to ensure that all SGP jobs were successfully migrated and were functioning correctly in the new environment.
The initial setup is easy. The deployment takes two months and involves a team of 50 executives.
The platform has helped us save 30% of operations time.
The product price is reasonable. I rate the pricing an eight.
I rate the product a nine out of ten.