ObjectStore object storage ObjectStore object storage-Shenzhen Kunlunfeng Trading Co., Ltd.

The new generation of object storage

is a new cloud storage product that can be deployed in enterprise data centers and span geographical boundaries such as hybrid multi-cloud and edge. It can provide stable, secure, efficient, and nearly unlimited capacity data storage, and can adapt to diverse business scenarios. A variety of data access interfaces to meet the needs of massive unstructured data storage and management in the digital and intelligent era .

It summarizes and absorbs the industry’s engineering experience and latest technological achievements in distributed storage, cloud storage and other fields from 2011 to 2020, and is constructed using a newly designed distributed storage engine, cloud native technology, combined architecture, etc. It is a new generation of object storage products that can seamlessly evolve to data lakes and hybrid multi-cloud data platforms by combining service components .

Features

Self-developed distributed storage engine

Self-developed all-terrain multi-modal distributed storage engine adopts minimalist IO stack and full user mode architecture to achieve extremely high software and hardware resources and network utilization, cross-cloud horizontal scalability, computing power sinking and emerging media oriented Optimized, performance and throughput are increased exponentially.

Solving scale and performance challenges

Through the self-developed metadata service engine and distributed storage engine, traditional object storage products solve the problem of limited number of objects in a single bucket, limited size of a single cluster, insufficient small file processing capabilities, difficulty in cross-site data synchronization and management, and high consumption of system resources. Important shortcomings.

Breaking through capacity and geographic boundaries

Transcending the boundaries of storage media, geographical locations, and platforms, it achieves the integration and unification of unstructured data storage resources across hybrid multi-cloud and edges. It can be scaled horizontally, providing storage capacity from small to nearly unlimited, and creating a unified data infrastructure for users. A globally consistent access experience reduces usage costs and complexity.

cloud native

Adapt to the characteristics and requirements of comprehensive cloud IT infrastructure, fully containerized deployment and microservice management, realize minimalist deployment across hybrid multi-cloud and edge, fault self-healing and intelligent operation and maintenance, perfectly adapt to and support cloud native applications .

Interworking with multiple access protocols

Provides multiple protocol interfaces, including S3 object storage interface, Swift protocol interface, NFS file storage interface and HDFS big data storage interface, and supports the same data to be accessed through multiple protocols, saving storage investment costs and improving the convenience of users using data and real-time.

Hybrid multi-cloud data tiering

Complete data classification capabilities support data flow across storage pools (SSD, SAS, and SATA) within the cluster, and across geographical locations and platforms between the edge and the center (private cloud or public cloud) to achieve intelligent cost optimization.

Multi-level safety and reliability

EC erasure coding and multi-copy mechanism, cross-data center data replication, hard disk and network sub-health detection and self-healing and other data reliability technologies, data transmission encryption and server-side storage encryption, WORM (Write Once Read Many) and other security technologies, In addition, data access logs and operation and maintenance operation logs meet user compliance audit and traceability requirements.

Native big data capability support

Native HDFS protocol interface support allows seamless integration with mainstream computing frameworks and tools in the big data ecosystem. The big data business implements a storage and computing separation architecture, with flexible allocation of computing and storage resources, and significant cost optimization; there is no longer a need for a long data preparation process, the big data engine can directly connect to the object storage platform to start big data processing and analysis. Businesses are more agile and efficient.

Composable architecture supports continuous evolution

Based on the combined architecture and on-demand service model of the hybrid multi-cloud data platform, various service components can be subscribed to realize iterative evolution from a single object storage system in a single data center to a block storage system, a big data storage system, and a container Storage system, NAS file system, data lake platform, data management platform, data service platform and even a complete hybrid multi-cloud data platform spanning data center, multi-cloud and edge.

Customer benefits

Only one copy of data is stored within the enterprise, with intelligent management and cost optimization.

A data platform that can be scaled horizontally and continuously is sufficient to store all enterprise data and provide rich protocol interfaces and data service capabilities.

Easily build, deploy and operate various application systems based on the "hybrid multi-cloud + edge" infrastructure environment

Data “originates on the cloud, grows on the cloud, and is applied on the cloud”

The composable architecture allows enterprises to build their next-generation data infrastructure in a more agile way. They can start from a small scale, closely integrate the construction process with the business, and expand on demand.

Enterprise IT shifts from focusing on infrastructure to focusing on business and data, and shifts from operation and maintenance to providing data services

Build the next generation of intelligent data infrastructure to gain new impetus for business growth.