How do you use Control-M for data science workflows?

Sep 9, 2019 ... Control-M already does have internal monitoring features like alerting if a job is delayed or failed. But we're looking for deeper performance ... Control-M is configured to send messages out to a custom script that is capable of then relaying the message to PagerDuty with the help of a web server. Apr 29, 2021 ... Complex application workflows? Problem solved. Control-M simplifies application and data workflow orchestration on premises and hybrid ... Feb 5, 2025 ... Control-M for Databricks · Execute Databricks jobs. · Manage Databricks credentials in a secure connection profile. · Connect to any Databricks ... Adding a Control-M / Control-M (z) Scheduler. Control-M schedulers can only be created through the Web UI. ... Specify the following parameters: ... Default Time ... Nov 19, 2024 ... A fun and interactive day designed to help you tackle business challenges more quickly and deliver maximum value with Control-M. I don't know if Control-M has a way to make an HTTP call(with payload) when a job fails. I understand that it also has a REST API, so you could create an ... This template is designed to get metrics from the Control-M server using the Control-M Automation API with HTTP agent. We know that Splunk should able to monitor the log table of the Control-M database and/or monitor the SYSLOG folders in the application server of Control-M, but ... Download scientific diagram | Clinical parameters in test (M-MIST + Er:YAG) and control (M-MIST) groups at baseline and 6 months post-op. from publication: ...