Product Training How to Automate Hybrid Cloud File Transfers

Manage file transfers for any type of cloud, mainframe, distributed or hybrid environment with no ramp-up time or cost-intensive hardware investments

Watch the Product Training: How to Automate Hybrid Cloud File Transfers

In this video you will learn how you can securely enable web-based scheduling from mainframe to the distributed world and vice versa. Integrate your cloud file transfers in any existing workload automation workflow. Trigger your transfers from 3rd party applications utilizing our REST API. Achieve cost savings by utilizing a single solution for enterprise job scheduling including internal and cloud file transfers. Stonebranch's Universal Automation Center allows you to securely transfer files between your local file server (Windows, Linux), mainframe (z/Linux, z/OS) or Storage Area Network (SAN), and your Amazon S3 or Azure storage cloud services.

Further Reading

Read the blog: Automation Trends 2024: Top Takeaways from the Annual Global State of IT Automation Report

Automation Trends 2024: Top Takeaways from the Annual Global State of IT Automation Report

The results are in! IT Ops, DevOps, DataOps, CloudOps, PlatformOps, and ITSM pros worldwide share their thoughts on automation and orchestration in the 2024…

Header Card Analyst Report: 2022 Global State of IT Automation Report

Stonebranch 2024 Global State of IT Automation Report

The results are in! New research reveals 2024's IT automation and orchestration benchmarks for IT Ops, DevOps, CloudOps, and DataOps teams.

Read the blog post: 6 Top Trends in Infrastructure and Operations (I&O) for 2024

6 Top Trends in Infrastructure and Operations (I&O) for 2024

2024's top trends in infrastructure and operations (I&O), including genAI, IT orchestration, MLOps, and self-service automation.

Watch the webinar now! Orchestration, Observability, and Control Over the Hybrid Data Pipeline

Orchestration, Observability, and Control Over the Hybrid Data Pipeline

Hybrid data pipelines involve multiple schedulers and real-time data issues — see how an orchestration layer can enhance observability and control.