ExponTech

Elastic scalability, software-defined distributed architecture,
empowering the digital transformation of the financial industry

行业背景
Financial Services
With the rapid development of information technology, the integration of modern technology and robust financial demands has sparked enormous innovation. The financial industry continues to leverage information technology for business innovation, with new business and service models emerging, and an increasing proportion of revenue derived from digital marketing and services.
As the core support platform for financial operations, data centers are also undergoing continuous transformation, advancing towards elasticity, agility, and rapid iteration in modern digital transformation. How to utilize innovative infrastructure to help financial users enhance regulatory compliance, improve business continuity and agility, and accelerate business and IT operations has become a key research focus for practitioners.
Challenges in
Financial Industry Infrastructure
Inflexible Architecture
New business models emerge constantly, yet IT architecture responds slowly and sluggishly. Adjustments to the architecture are challenging, multi-brand storage is difficult to manage and maintain, and unified scheduling is impossible. Vendor lock-in and limited hardware options, coupled with heterogeneous environments and complex data management, prevent efficient support for new business storage needs. Complex systems with siloed expansion mean capacity and performance are not elastic, operations are time-consuming and costly, and storage hardware upgrades take a long time.
Rapid Data Growth
Production data generated internally by financial enterprises, combined with data sources imported externally, has led to massive data growth. Over the past decade, enterprise data has grown from gigabyte (GB) to petabyte (PB) scales, and in the near future, exabyte (EB) scales are expected to become the norm for large enterprises.
Data Latency Requirements
In scenarios like high-density data computation, high-concurrency access from internet users, real-time data analysis, and machine learning, data storage systems must support higher concurrency while maintaining low response times. The financial sector requires the analysis and mining of large volumes of business data to support business decisions, targeted customer acquisition, risk prevention, and other value-added services, imposing higher performance demands on storage systems.
Difficulty in Automated Resource Allocation and Weak Self-Service Capabilities
Although storage resources vary by type, their allocation and adjustment still require manual maintenance by professionals using complex rules. Currently, no standardized service benchmarks or requirements exist for users to select storage performance based on specific application needs. During deployment, users often lack a clear understanding of the storage performance needs (IOPS, latency, throughput) for regular and peak periods, making self-service functionality difficult to achieve.
ExponTech
Advantages in Financial Solutions
Financial Industry Solutions
Development and Testing Private Cloud/Virtualization Scenarios
Virtualization scenarios often involve high IO randomness and generally low latency requirements. ET SDS technology's unified storage block resource pool enables dynamic expansion and effectively enhances storage resource management and utilization.
Database Scenarios
Database scenarios demand random read/write performance and high reliability. ET SDS block storage combined with SSDs leverages new-generation distributed caching technology to meet high IOPS and low latency requirements. Multi-layered data redundancy protection mechanisms and enterprise-grade features enhance system reliability.
Disaster Recovery & Archiving Scenarios
Overcoming the capacity and small file bottlenecks of traditional solutions, users can achieve seamless upgrades and expansion without disruption. Distributed storage offers superior bandwidth over single-head NAS systems, ensuring that data archiving and backup windows remain consistent with original estimates. The always-online feature of object storage allows on-demand data retrieval, providing significant advantages for big data analysis compared to traditional tape backup methods.
Enterprise Cloud Drive Scenarios
Using ET SDS object storage and customized development, an enterprise cloud drive can serve as a collaborative office platform for all employees. Features include mobile terminal access, real-time data synchronization, online editing/viewing, email integration, file sharing, and team spaces to enhance collaborative work efficiency. The scalability and disaster recovery capabilities of ET object storage meet enterprise office platform requirements. Multi-center deployment reduces network bandwidth consumption and lowers investment costs.
Bill Imaging Scenarios
With a flattened architecture, failure points and bottlenecks are minimized, reducing storage server costs. Internet-based access allows for flexible recording and playback locations. Wide-area connectivity enables cross-data-center access. Link-based file sharing removes mapping restrictions, facilitating easier expansion. Clients require minimal dependencies (web access only).
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