Storage system KT-TSSt-3000

Storage System KT-TSSt-3000 is a cutting-edge storage appliance which offers an array of enhanced features to meet the evolving needs of modern enterprises. With a robust combination of data loss prevention, database security, file system management, and big data management capabilities, this appliance empowers organizations to optimize their storage infrastructure and safeguard their critical data assets.

 

Specification  

 

Min/Max Drives per Appliance: 6/93    
Appliance per Cluster: 4    
Raw Capacity (Min/Max): 11.5 TB / 5.72 PBs per Cluster    
CPU per Appliance: 4 x Intel CPUs    
Volumes (Max): 3000    
Protocols: 3000    
Capacity: 6x 15.36 TB    
4x10GB SFP    
4x32GB FC  

 

 

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Features:   

 

   

 

Increase data storage performance:  

 

- Utilizes state-of-the-art hardware components, including high-speed drives and advanced storage controllers, to deliver exceptional performance and reliability.    
- Scalable architecture allows for flexible expansion and capacity upgrades as the business needs grow.  

 

Data Loss Prevention:  

 

- Real-time data replication and synchronization to prevent data loss due to hardware failures or disasters.    
- Data integrity checks and self-healing capabilities ensure data consistency and reliability.  

 

Database Security:  

 

- Role-based access controls and granular permissions to protect databases from unauthorized access.    
- Encryption of data at rest and in transit to safeguard sensitive information.    
- Database activity monitoring and auditing to detect and mitigate security threats.  

 

File System Management:  

 

- Efficient organization and management of files and folders through a user-friendly interface.    
- File versioning, allowing easy retrieval of previous versions and restoration of deleted files.    
- Deduplication and compression techniques to optimize storage utilization and reduce costs.  

 

Big Data Management:  

 

- Seamless integration with popular big data frameworks such as Hadoop and Spark.    
- Scalable storage capacity to handle large volumes of data.    
- Advanced analytics tools for data processing, exploration, and visualization.  

 

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