AIOTOIA is committed to smart manufacturing and industrial IoT solutions since 2008.
To ensure a smooth shopping experience for users during the major sales event, the platform deployed a core IT architecture composed of high-performance rack servers and distributed storage servers. Leveraging the servers' high computing power, reliability, and scalable capabilities, the system successfully handled peak loads of 120,000 orders per second, achieving zero downtime throughout the entire sales event.
The platform's server architecture adopts a "layered deployment" model, with the core divided into three main modules. The front-end access layer utilizes 20 high-performance rack servers (equipped with Intel Xeon Gold 6348 processors, 32 cores, 64 threads, and 128GB of memory). Load balancing technology evenly distributes user requests across server nodes, preventing single-node overload. The servers also support SSL acceleration and HTTP/2 protocol, significantly improving page loading speed, allowing users to quickly browse products and place orders even during peak hours.
The core business layer is the "brain" of the architecture, deploying 30 dual-processor rack servers (configured with Intel Xeon Platinum 8375C processors, 40 cores, 80 threads, and 256GB of memory) to run the core e-commerce business systems (order management, inventory accounting, and payment settlement). The servers employ a redundant design, each equipped with dual power supplies and dual network cards, allowing for automatic switching in case of any hardware failure, ensuring uninterrupted business operations. During the sales event, these servers needed to process high-frequency operations such as order creation, inventory locking, and payment reconciliation in real time. Their powerful multi-threaded processing capabilities kept the response time for each order within 0.3 seconds.
The data storage layer consists of 15 distributed storage servers, utilizing an all-flash array design (each server equipped with 20 4TB SSD drives, totaling 1.2PB of storage capacity) to store massive amounts of data, including product data, user information, and transaction records. The servers support a distributed file system, allowing data to be sharded and stored across multiple nodes, improving data read speed and ensuring data integrity through multi-replica backup mechanisms.
During the sales event, the storage servers needed to support 80,000 data read and write requests per second. The all-flash design resulted in data query latency as low as milliseconds, preventing users from abandoning their purchases due to "loading timeouts."
To cope with traffic fluctuations, the platform also introduced a cloud server elastic scaling solution. Through the server cluster management system, the CPU utilization and memory usage of the front-end access layer servers are monitored in real time. When the load exceeds a threshold, 10-15 backup cloud servers are automatically launched to supplement computing power. After the major sales event ends, idle resources are automatically released to reduce operating costs.
In addition, all servers are deployed with virtualization technology, dividing physical servers into multiple virtual machines, each carrying different business modules to improve hardware resource utilization.
During the major sales event, this server architecture performed remarkably: the daily order processing volume exceeded 150 million transactions, the payment success rate reached 99.98%, the system response time increased by only 0.1 seconds compared to normal days, and the number of user complaints decreased by 70% year-on-year. The high reliability of the servers not only guaranteed the shopping experience but also avoided huge losses caused by system downtime.
This case fully demonstrates the core value of enterprise-level servers in high-concurrency and big data scenarios. Their powerful computing power, redundant design, and elastic scalability provide a stable and reliable IT foundation for e-commerce platforms, and also confirm the crucial role of servers as "infrastructure of the digital age"—only with sufficiently powerful underlying hardware can the smooth operation of upper-layer business be supported.