Data Sheet Cloud Automation: End-to-end Automation for Heterogeneous Cloud Landscapes

Stonebranch’s Cloud Automation solves complex multi-platform scheduling challenges and enables end-to-end automation and scheduling for all workloads and business processes without any upfront hardware investment or intense local installation procedures

Cloud Automation

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Jumpstart Your Cloud Automation Initiative. Stonebranch Cloud Automation - The easy way to automate and schedule your business processes. Download our cloud automation data sheet now and learn more about cloud-based workload automation, migrating your data to the cloud and how cloud workload automation works.

Heterogeneous Cloud Automation Solution Highlights:

  • Highly scalable, reliable
    and secure best practice security configurations
  • Single solution for scheduling and managed file transfers
  • Role-based security concept
    (LDAP, Active Directory, SSO)
  • Increased speed and agility through integrated service application
    lifecycle management (ALM)
  • Multiple out-of-the-box and configurable application
    integration options

Further Reading

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Stonebranch Universal Data Mover (UDM): Secure File Transfers for the Modern Data Center.

Universal Data Mover TechBrief - Download now to learn more about the centralized and self-managing file transfer solution for enterprise-wide file transfers.…

Stonebranch Universal Controller: Imagining a Different Approach to Automation for Businesses

Universal Controller is a modern, easy to use Job Scheduling solution that is re-inventing the way IT can automate enterprise-wide business processing.

Data Supply Chain: Application Automation for OpenShift

Application Automation for OpenShift. Seamless application migration and modernization to orchestrate data supply chains. A solution paper provided by…

Docker Workload Automation. Scheduling and orchestration for Docker-based IT Landscapes

Does your container-based DevOps process seamlessly integrate with your legacy systems? Learn more about scheduling and orchestration of heterogenous…