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eService Intelligent Cloud O&M Platform，Combining big data analytics and Artificial Intelligence (AI), Huawei eService provides data infrastructure — such as Huawei servers and storage devices — with automatic fault reporting, and problem management and tracking.
• Over 80% of disk failure risks are identified 14 days in advance with AI and big data analytics on the cloud.
• A fault model library containing more than 200,000 devices provides troubleshooting for 93% of faults and accelerates fault location.
• Intelligent capacity prediction: capacity consumption is forecasted 12 months in advance.
• 24/7 proactive monitoring and online O&M with fault detection in minutes; risks and failures are reported automatically.
• Monitoring of devices over mobile phone, for system risk prevention and real-time troubleshooting, anytime, anywhere.
• Automatic creation of trouble tickets on the cloud for transparent tracking of problem management.
• eService does not collect customer service data; all operations can be traced, and all logs can be audited.
• Featuring bidirectional authentication (eService client and Huawei cloud), unidirectional access, and encryption during transmission.
• 256-bit Advanced Encryption Standard (AES) algorithm ensures 99.9999% availability and General Data Protection Regulation (GDPR) compliance.
| Item | Feature | Specifications |
| Centralized O&M | Storage model | Mainstream Huawei storage models |
| Server model | Mainstream Huawei server models | |
| Device management scale | Single-client: storage ≤ 256 sets; servers ≤ 5000 Multi-client: storage ≤ 256 x N (clients) [max. 5000 storage devices] Emergency contacts: 5 (at least one must be a security administrator) |
|
| Access channel | Internet/Email | |
| Network bandwidth | ≥ 10 Mbit/s | |
| Health Assessment | Device health assessment | Real-time evaluation and scoring of system, hardware, configuration, capacity, and performance health |
| Alarm monitoring | 24/7 remote alarm monitoring and automatic trouble tickets creation | |
| Intelligent Analytics | Performance analytics | E2E performance analytics and topology |
| Performance fault diagnosis | Troubleshooting suggestions for performance faults with real-time latency detection | |
| Performance fluctuation analytics | Automatic analytics of historical performance and identification of service change rules | |
| Performance bottleneck analytics | Trend history: 1 month Trend prediction: 2 months Automatic troubleshooting suggestions for performance bottlenecks |
|
| Intelligent Prediction | Capacity prediction | Capacity consumption predictions: 12 months Advance warnings for overloaded resources Capacity planning |
| Disk failure prediction | Disk risk prediction Detection of faulty disks 14 days in advance |
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| Compatibility | Browser | Chrome |
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