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BMC Control-M 21.3 update: New functions for modern workload orchestration

FROX AG
20.09.2024

Key features and improvements in Control-M 21.3 update

  • Enhanced automation and hybrid integration: The BMC Control-M 21.3 update enables even deeper integration of workflows into cloud environments such as AWS, Azure, and Google Cloud. This makes the workload automation platform more flexible and adaptable to meet dynamic requirements in hybrid cloud scenarios.
  • Improved user interface and dashboards: A redesigned user interface significantly improves the usability of BMC Control-M. With intuitive dashboards, users gain deeper insights into the status of their workloads, leading to more efficient decision-making and optimized workload orchestration.
  • Security and compliance enhancements: A highlight of the update is the integration of CyberArk Vault, which allows for the secure storage of secrets, enhancing both security and compliance.
  • AI-powered workload predictions: AI-driven prediction features help identify potential bottlenecks early, allowing proactive measures to ensure smooth workload automation.
  • New APIs and Kubernetes integration: Support for Kubernetes extends the workload orchestration capabilities to containerized environments, making it especially appealing to modern enterprises.
  • Unified view for self-hosted and SaaS workflows: The 21.3 update offers a unified view that enables management of both self-hosted and SaaS workflows through a single, user-friendly web interface.
  • Apache Airflow integration: Control-M 21.3 now integrates with Apache Airflow, allowing for end-to-end monitoring and orchestration of Airflow DAGs alongside Control-M workflows.
  • Improvements in Managed File Transfer (MFT): The update brings enhanced capabilities for Managed File Transfer, including improved encryption and native integration with cloud storage services.
  • Web-UI enhancements: The new web UI features enable intuitive management of Control-M servers and agents. Dynamic views allow administrators to respond quickly to issues and improve the efficiency of their workflows.

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