Digital Finance – Lbank

Customer Case Study:
LBank is a top-tier Bitcoin exchange, ranked among the top 20 globally. It holds multiple licenses, including NFA, MSB, Canadian MSB, and Australia's AUSTRAC. The platform supports trading communities for BTC, ETH, QTUM, BTS, and USDT. Currently, LBank has over 2.6 million registered users and a daily trading volume of $300 million.

Customer Pain Points

Customer Pain Point 1

The existing big data cluster urgently needs expansion.

Customer Pain Point 2

IDC data center resources are limited, and the expansion cycle is long.

Customer Pain Point 3

Elastic scaling capabilities and a storage-compute separation architecture are required to support peak query loads.

Customer Pain Point 4

Big data analysis is needed during major promotional periods.

Solution and Value

Cost Optimization

By leveraging the cloud-based big data platform, customers can save over 50% on big data Presto query costs.

Performance Improvement

Utilizing high-performance cloud resources, customers can achieve over a 20% increase in Presto query performance compared to IDC solutions.

Resource Optimization

With the cloud's automatic elastic scaling and automated monitoring capabilities, customers can optimize resource usage, freeing up at least 6400 cores and 26TB of memory for other core Shopee business operations.

Business Optimization

Meet customers' needs for big data analysis during major promotional events, gaining better insights into user behavior and market trends to enhance the effectiveness of promotional activities and improve user experience.