Application Scenarios
Application Scenarios

System Optimization
Reduces fault impact and improves user experience.

Performance Improvement
Properly allocates resources and improves service stability.
Service Content
Service Content
Architecture Stability
Analyzes service architectures, applications, and technical architectures, and provides suggestions in terms of applications, data, and HA deployment.
Capacity Improvement
Evaluates capacity and provides expansion recommendations based on service statuses and expected service peak traffic details provided by customers.Helps customers adjust the number of clusters deployed for service systems and cloud service specifications.
Security
Evaluates the completeness of customer security services and security configurations and provides recommendations from four aspects: service access layer, application layer, data storage layer, and security management.
Monitoring and Alarms
Provides suggestions to improve monitoring capacity based on the analysis of service architectures, service scenarios, and historical faults as well as Cloud Eye configuration best practices.
High Availability
Assesses fault impact and recoverability and balances key metrics, including RTO, RPO and TCO to provide recommendations for AZ-level high availability deployment.
Architecture Stability
Analyzes service architectures, applications, and technical architectures, and provides suggestions in terms of applications, data, and HA deployment.
Capacity Improvement
Evaluates capacity and provides expansion recommendations based on service statuses and expected service peak traffic details provided by customers.Helps customers adjust the number of clusters deployed for service systems and cloud service specifications.
Security
Evaluates the completeness of customer security services and security configurations and provides recommendations from four aspects: service access layer, application layer, data storage layer, and security management.
Monitoring and Alarms
Provides suggestions to improve monitoring capacity based on the analysis of service architectures, service scenarios, and historical faults as well as Cloud Eye configuration best practices.
High Availability
Assesses fault impact and recoverability and balances key metrics, including RTO, RPO and TCO to provide recommendations for AZ-level high availability deployment.
Switchover Drill
Performs switchover drills for cloud environments, system architectures, system performance, and emergency plans through active/standby switch, HA clusters, and backup and recovery, to identify risks in advance.
Performance Improvement
Performs high-concurrency stress tests in scenarios such as logging in to and viewing web page applications, provides test metrics, such as the number of concurrent requests, transaction success rate, response delay, and TPS, and provides optimization recommendations for bottlenecks.