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Scality Ring8 Supporting AFAs

Delivering file and object storage performance "10x faster than competitive solutions"

Scality SA announced a 10x performance leap over competitive solutions with its all-flash RING for scale-out file and object storage software, and unveiled new capabilities in the latest release of its RING8 platform.

Scality With Flash

Customers gain the all-flash advantage with asolution to support both scale-out file and object storage on a single platform.

RING was measured to fully saturate the bandwidth of a 40GbE network connection to a cluster of six HPE Apollo 4200 servers with 16x12Gb SAS SSD drives each. It attains this level of performance for both file (NFS, SMB) and object storage (AWS S3) interfaces equally to address the needs of legacy and new cloud-native applications.

This level of performance is the equivalent of storing or serving thousands of high-res image files each second. The result is more than 10x faster than competing scale-out storage solutions and enables the RING to be deployed across a range of additional file use cases that are often out of reach for other object storage vendors.

Scality Ring8 Scheme

Now, a set of IO-intensive workloads will benefit from the feature set the company’s customers are asking for: scalability, flexible choice of storage interfaces, integrated hybrid-cloud data management and high level of data durability.

Applications that benefit include those that previously required use of proprietary and costly storage solutions:

  • Tier-1 backup and instant restore

  • Design and simulations

  • Live analytics, AI and ML applications

  • Single-tier medical imaging, CCTV and more

Scality Ring8 Scheme AppAn all-flash RING deployed on a cluster of 6 servers can typically achieve over 10GB/s of throughput, and with performance increasing as RING cluster sizes grow, the customers have substantial headroom to deploy scalable systems with unbounded performance as resources are added.

Ring Powers Hybrid Cloud Data Management Scheme

Modern enterprises must keep pace with a society that expects data to move at the speed of thought – always available and never down. RING has supported hybrid (flash and HDD) storage servers, with flash used to accelerate a high percentage of file system and object operations while preserving the economics of HDD for large data payloads.

Specifically for scale-out file storage (SOFS) has empowered customers to modernise with highest levels of performance for most data-intensive file workloads on hybrid flash/HDD, such as:

  • Airline reservation company writes 1PB of log data/day stored over 14 days and accessed by Splunk analytic tools, achieving 60GB/s of NFS file write performance

  • One of the largest cable broadcasters in the US uses SOFS to ingest 160 high-definition video TV channels all at once

  • European automotive manufacturer powers a 20PB SMB share on SOFS for video data, making it one of the largest single SMB namespaces in the world

  • European national library is using SOFS to archive thousands of large digitised assets per day, scaling capacity in minutes to accommodate its quickly growing data

  • US university hospital’s PACS stores hundreds of diagnostic images daily, representing hundreds of terabytes of medical image data growth each month.

This isn’t Scality’s first rodeo with flash. We have a decade of experience using flash media in the RING architecture to accelerate a high%age of operations for file and object access,” said Giorgio Regni, CTO and co-founder. “But now, with the declining cost curves and increasing densities of flash media, customers can use RING’s scalability and ultra-high data durability alongside the ability to fully leverage all-flash for their high-performance requirements.”

The company’s customers have embraced RING for high-throughput use cases since 2013, leveraging the combination of flash and HDD to strike the optimum balance of price vs. performance. By leveraging all-flash storage, the firm now brings RING performance to a new level and extends its use to a wider range of application workloads.

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