CASE STUDY

Financial Customer: Distributed Application Delivery and Management System

Ensuring stable financial operations and real-time data analysis

Summary

Develop a tailored distributed application delivery and management system to ensure stable financial operations and real-time data analysis.

Challenges

  • Traffic Overload: Traditional IT architectures struggle with high concurrency, traffic surges, and inefficient business log utilization.
  • Weak Microservice Governance: Despite microservices adoption, automated operations and streamlined management remain inadequate.
  • Inefficient App Delivery: Legacy methods fail to meet the speed and quality demands of modern financial applications.
  • Lack of Distributed O&M Support: Banks' distributed architecture advancements outpace their operational support systems.

Solutions

  • Agile Distributed Architecture: Build a resilient, scalable, and self-healing infrastructure for rapid response and seamless business continuity.
  • Multi-Cluster & Self-Service Management: Enable granular user control, resource quotas, and efficient cluster operations.
  • Unified O&M & Log Management: Centralized monitoring, intelligent alerts, and optimized log processing for enhanced system stability.
  • Bimodal Network for Resilience: Ensure high performance and regulatory compliance while maintaining a dynamic, stable network.

Benefits

  • Scalability: Supports 200M daily transactions, 400K per minute, and 20K TPS.
  • Robust Microservices: Single cluster runs 300+ apps and 2,000+ microservices.
  • Enhanced O&M: Processes 65TB logs daily with zero delay, improving fault resolution by 60%.
  • Accelerated Delivery: Deployment efficiency up by 30%, reducing human errors by 80%.

Scale

  • 750+ Nodes, 19000+ CPUs
  • 10000+ Pods
  • 60+ business application systems
Financial ServicesDigital TransformationDistributed Architecture
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