Barriers Between Multiple Clouds and On-premises Resources Slow Down Your Hybrid Workflows
Data Silos Between Hybrid and Multiple Clouds
Inconsistencies between private and public clouds, as well as across multi-cloud environments, create new data silos, preventing applications from accessing data across data centers and clouds, and adding costs and complexity.
Urgent Need for On-Demand Data Sharing and Its Consistency
In hybrid cloud environments, multiple applications need access to data. Ensuring efficient and on-demand data sharing across different clouds is crucial for smooth operations.
Performance Limitations Hinder Hybrid Cloud Workflows
The challenge of orchestrating across data silos further hampers these workflows, often forcing some workloads to remain entirely on-premises.
Storage Resource Optimization and Management
In hybrid cloud environments, efficiently allocating and managing storage resources to maximize both utilization and performance is a significant challenge.
Differences in Performance and Capacity Requirements
Different workloads have varying needs for performance and capacity. For instance, on-premises training requires storage with high I/O capabilities, while a cloud-based media repository demands large-capacity storage.
Eliminate Data Silos, Gain the Ability to Easily Move Data across Platforms and Achieve New Levels of Creativity and Success
YanRong high-performance distributed file storage YRCloudFile, utilizes a software-defined storage (SDS) architecture and can be deployed on both private and public cloud. It aggregates "disk" resources to create high-performance storage capabilities. With intelligent tiering and its unique DataLoad technology, YRCloudFile eliminates data silos between cloud and data centers and enables on-demand data flow across hybrid and multi-cloud, ensuring data to be applied more precisely to business needs while reducing unnecessary transfer costs and labor expenses.
Advantages
High Performance
YRCloudFile is the only product in China that offers high-performance file storage services in heterogeneous cloud environments.
Data Consistency
YRCloudFile eliminates data silos between cloud and data centers, delivering consistent data experience across on-premises and public-cloud environments.
Flexible Data Flow
The DataLoad feature bridges file storage with object storage, allowing data to flow flexibly and on-demand between on-premises and multi-cloud environments.
Multi-Cloud Ready
YRCloudFile supports your choice of cloud platforms and can be rapidly deployed on major providers such as AWS, Azure, Tencent Cloud, and Alibaba Cloud.
Intelligent Management
YRCloudFile offers fully automated deployment, saving time and effort. It features graphical operation and management, making it both simple and efficient.
Cost-Effective
The intelligent tiering feature offloads cold data to object storage while maintaining standard file interfaces for apps, allowing users to enjoy industry-leading perfromance while reducing costs.