iMaster DME Storage Data Management
Deploy an intelligent IT infrastructure O&M and data management platform.
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iMaster DME Storage Data Management
iMaster DME Storage Data Management is an intelligent management platform designed for all scenarios. Unifying Operations and Maintenance (O&M), iMaster DME brings with it two major capabilities: intelligent Information Technology (IT) infrastructure O&M and intelligent data management. As such, it improves data center operational efficiency while reducing management costs.
• iMaster DME uses Artificial Intelligence for IT Operations (AIOps) to identify potential system risks and forestall any accidents, as well as solve O&M challenges from locating performance issues to demarcation. Equipped with industry-leading capabilities, it effectively improves data center resilience.
• iMaster DME also helps manage mass data for on-demand data access and mobility, secures data protection, and supports data-driven strategies.
Three Reasons for Choosing Huawei iMaster DME
Efficient Intelligent O&M
▪ Automatic service provisioning: Workload simulation enables zero errors in service changes. One-click service provisioning without script compilation achieves a tenfold increase in provisioning efficiency.
▪ End to End (E2E) performance issue demarcation and location: Storage area network (SAN) performance issues are detected within 3 min, demarcated within 5 min, and located within 10 min. Network-attached storage (NAS) performance issues are located within 2 min. Troubleshooting period is slashed from days/hours to minutes.
Intelligent Risk Prevention
• Identification of six types of key risks: Risks in capacity, configuration, performance, disaster recovery (DR), recyclable resources, and hardware are proactively identified to prevent accidents.
• Intelligent prediction for multiple indicators: Performance bottleneck prediction is performed for the next 14 days. Capacity bottleneck prediction is performed for the next 365 days. This provides a robust base for forward planning.
Visibility, Manageability, and Availability of EB-Scale Data
• Omni-Dataverse unified data space: Global data catalog and unified cross-region data view are supported.
• Convenient data retrieval in seconds: Retrieval from 100 billion files is achieved in seconds with the assistance of more than 15 search criteria. This is equivalent to a search engine for a data center.
• On-demand data mobility and optimized total cost of ownership (TCO): Automatic tiering for cold and hot data and data flow are all supported. Invalid data identification and deletion of 10-million-scale files in hours optimize data storage costs.
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