High-Concurrency Processing”)
· Online Transaction Services: Functions decomposed under a microservices architecture, combined with load balancing and process-level caching to reduce latency and support high concurrency.
· Batch Processing Module: Enables bulk import/export of customer information. Tasks are triggered automatically via the scheduling platform, significantly improving large-file processing efficiency.
· Transaction Sharding: Transactions are segmented horizontally by type, timeliness, and concurrency to avoid interference and optimize resource utilization.
III. Data Security (Solving “Data Security and Compliance Risks”)
· Encrypted Transmission & Storage: Messages are encrypted by hardware encryption devices. Sensitive data is secured using national encryption algorithms and irreversible encryption for storage.
· Access Control: Implements three-level database permission controls. Application layer validates channel permissions, with all operations logged for audit and traceability.
· Security Protection: Prevents SQL injection attacks, runs regular security scans, and supports data masking for sensitive fields—balancing usability and compliance.
IV. Scalable Architecture (Solving “System Scalability Limitations”)
· Microservices Design: Eight microservices deployed with communication via a distributed messaging platform. New functions can be deployed independently, reducing coupling.
· Elastic Scalability: Applications run on containerized cloud deployments with horizontal scalability. Databases adopt a distributed architecture, dynamically adjusting shard counts to handle data growth.
· Standardized Interfaces: Supports JSON messaging and RPC protocols, enabling rapid integration with new channel systems and reducing adaptation costs.
V. High Availability & Disaster Recovery (Solving “Weak Data Reliability”)
· Cluster & Redundancy Deployment: Application servers use load-balanced clusters. Databases adopt dual-center, multi-node architecture to ensure strong data consistency and fast failover.
· Backup & Recovery: LAN-Free backup combines full and incremental strategies, supporting fast recovery. Annual unplanned downtime is kept under ten hours.
· Cross-Center Emergency Handling: Provides switchover plans. In case of main data center failure, same-city backup centers can be manually activated to ensure business continuity.
VI. Operations & Audit (Solving “Low Efficiency in Operations and Auditing”)
· Log Management: Logs are classified by level and hierarchy, with adjustable output levels. Stored as files and imported into databases for analysis on demand.
· Real-Time Monitoring & Alerts: Integrated with monitoring platforms for system metrics tracking. Abnormalities trigger automated alerts. Batch task statuses are monitored for full traceability.
