With AWS Batch, users package the code for batch jobs, specify dependencies, and submit batch jobs using the AWS Management Console, CLIs, or SDKs. AWS Batch allows users to specify execution parameters and job dependencies, and facilitates integration with a broad range of popular batch computing workflow engines and languages (e.g., Pegasus WMS, Luigi, Nextflow, Metaflow, Apache Airflow, and AWS Step Functions).
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Control-M
Score 9.3 out of 10
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Control-M from BMC is a platform for integrating, automating, and orchestrating application and data workflows in production across complex hybrid technology ecosystems. It provides deep operational capabilities, delivering speed, scale, security, and governance.
Overall AWS Batch, I found easy compare to other softwares which i have tried, It is easy to setup the multiple jobs and on demand we can push our new jobs and same will be monitored by the monitoring dashboards provided by AWS batch, easy to schedule the new job using AWS batch.
Because of some of the best features the Control-M provides which includes but not limited to- Automation workload processing, manager file transfer, data pipelines, integrations, hybrid and multi cloud workflow.
We would still use Control-M as overall orchestrator to manage the workflows created in these other products. We do not consider them as a replacement for Control-M.
Control-M is very easy to use and it is easy to visually see how tasks are performing. Having the logs in one place when a task fails makes troubleshooting easier.
Control-M has proven to be much more reliable and not prone to crashes like UC4 had. It’s also more versatile since we can build almost anything we may need with the application integrator.
We have been using Control-M for almost 20 years and our teams are already trained to use it. Other tools are not as robust and resilient as Control-M. Control-M's graphical interface is very easy to use.
Control-M by far is the leader in this industry. The ease of use of the product and the ability to get others up to speed on using the product because of this is great.
Start with reviewing all your jobs, consolidating the timeline, and making a plan on what all jobs need to be prioritized. These can be optimized based on cost and performance. With a continuously changing workload, AWS Batch helps to build and automate the jobs across various resources. It also helps to manage the performance and workload.
Scenarios where it's well suited are where you're running jobs across platforms. We have processes on our mainframe that have to complete our daily batch processing and the controlling handles the scheduling of the daily batch processing. Then once that's done, it moves into executing stuff on servers like SQL loads and transferring files to load into SQL and then also running reporting on the SQL servers when the data's been loaded and is available. It makes for a really smooth transition of the overnight processing the bank has to go through. That's our main function that we use it for currently. It handles it very well.
Workload change manager is one of our favorite features of this product. It enforces standards, which is a huge benefit. Users don't just make crazy changes that cause issues with other jobs. It does great promotions from one environment to another, transforming all the data to match the next environment.
Certificate on all levels: Each agent uses different keystrokes for different functions, such as AI, web service calls, and MFT.
It's really hard to manage these keystrokes.
Trust stores, in case control-m, act as servers; it should be simple to implement certificates from a corporate CA.
Some functions must be performed in the fat client, while others can only be performed through the web interface. This should be streamlined as soon as possible.
Control-M integrates with DevOps toolchains to automate the deployment of applications and updates. It supports Jobs-as-Code, allowing developers to define workflows programmatically, which accelerates development cycles and improves deployment consistency1.These use cases highlight how Control-M can streamline operations, enhance efficiency, and support critical business functions across various domains.
Key advantages include cost-effectiveness through dynamic resource provisioning and the use of spot instances. It auto-scales to meet workload demands, allowing easy job submission via the AWS Management Console or SDKs. It integrates seamlessly with other services like S3 and CloudWatch. It features automatic retries for failed jobs. It allows for a custom computing environment tailored to specific needs
Since it is GUI-based, it is not hard to use, although all new programs have a learning curve. The color scheme is easy to use to find the status of different Batch jobs. The check-in and check-out feature of job definitions is easy to use and avoids problems with users trying to use the same resource at the same time.
Secondary Instances: Control-M supports the installation of a secondary instance of the entire Control-M environment, Control-M/EM, or Control-M/Server.Automatic & Manual Failover: In case of a failure on the primary host, Control-M can automatically failover to the secondary host if using Oracle or MSSQL databases. Manual failover is also an option, enabling a controlled switch during planned maintenance.Fallback: After resolving the issue on the primary host, you can easily fall back to it, or even designate the secondary host as the new primary. Database Replication: For high availability, Control-M leverages database replication from the primary site to a disaster recovery site. While replication is essential, its implementation and maintenance are the user's responsibility.
good page load times, efficient report completion, and minimal impact on integrated systems. Specifically, the well-designed GUI contributes to a positive user experience, and the platform's ability to automate various stages of the workflow, including Big Data processes, is highlighted as a key strength. Fast Page Loads: Control-M is reported to have a responsive user interface with fast page load times, allowing users to quickly navigate and manage their workflows
He contactado varias veces con el soporte de BMC y ha sido bastante bueno, siempre han sabido darme una solución a lo que he pedido. Esta vez quiero hacer alguna nueva pregunta, pero no se si se me podrá contestar, ya que es algo que tal vez fuera de otro rango y no pertenezca a ellos.
Very knowledgeable instructors provide a hands-on, collaborative learning experience and can interact directly with instructors to develop our Control-M skills. This format allows for immediate feedback, in-depth discussions, and tailored guidance, leading to a deeper understanding of Control-M concepts and practical application. Face-to-face interaction fosters higher engagement and a more dynamic learning environment.
Simple and easy to use web based, well paced. Available any time. All online courses are simple and easy to access and use. Very practical everyday use scenarios and solutions. Incorporates software simulations, learning games, and built-in assessments to enhance comprehension and engagement. Online subscriptions are regularly updated with the latest product information, ensuring users have access to the most current knowledge.
As HA we have depend on the external DB, why don't we have HA feasibility with embedded DB. As with external DB, there are performance issues and fine tuning the DB. As if its embedded DB, Control-M it self take care of the functionality.
I met him as a Control-M consultant, performing migrations from CA to BMC. I knew the product and interface were not as friendly or intuitive as Control-M's and could not integrate new technologies and external applications. One of CA's excellent capabilities was the ability to incorporate executions with Java Scripting to obtain variable values or to order processes natively in the application using its utilities.
awesome product.Control-M delivers advanced operational capabilities easily consumed by Dev, Ops, data teams, and lines of business.Control-M Workflow InsightsApplication and data workflow observability: Increased confidence that SLAs are being met for Control-M users and IT leadersComprehensive control and management capabilities: Enhanced dashboards and reporting with constant telemetry and intelligent analysis on executing workflowsSelf-service visibility: In-depth reporting to help teams work autonomously
Control-M has improved service delivery times, reliability and quality of batch processing.
It has simplified the management of the operation and the use of the alert system has made it possible to act in a coordinated and efficient manner to solve problems.
The implementation of policies has made it possible to make greater use of Control-M and thus reduce development costs that are generated unnecessarily when the potential of the system is not considered.
