Transformation of traditional call centers to new forms of call centers
Low resource utilization and numerous application sub-modules of the core system
Low service elasticity and scalability and over-sized deployment of business systems
Deep integration of IaaS and PaaS
Multi-Center Cross-Room Dispatch
Call Center Containerized Continuous Delivery
Automatic capacity expansion and contraction based on traffic peaks
Edge fault isolation, cloud-side O&M channels, node-level offline autonomy, etc.
Off-site dual-activation deployment architecture to support all kinds of unexpected business scenarios, application operation and maintenance efficiency increased by more than 35%, ensuring that the business continuity of the 10086 customer service system reaches "99.999%".
Involving more than 350 business systems, more than 1,800 applications and 7,500 services, the world's largest customer service system end-to-end cloud biochemistry was realized within one year.
Reduced system infrastructure resource overhead by about 60%, improved application operation and maintenance efficiency by more than 35%, utilized 1,000+ servers, saved server hardware investment of nearly 100 million yuan, and significantly improved the development, operation and maintenance efficiency of the business system, which helped China Mobile's 10086 customer service continue to maintain the industry's leading level.
Cloth architecture leads to high application release workload
Difficulties in operation and maintenance management due to multiple data (provincial) centers
Difficulty in coping with sudden flow peaks
Difficult to release on-line, the overall scale is not easy to operate and maintain
Build a cross-cluster CI/CD pipeline to automate application release and go-live;
Ensure environment consistency through container mirroring, configuration synchronization
According to the business load, the platform automatically expands and shrinks the capacity to cope with traffic peaks.
Automate cross-cluster development, testing, and go-live processes
Unified management of off-site multi-data centers reduces the difficulty of operation and maintenance and human error of off-site multi-centering.