Mechanizm zarządzania danymi
Uproszczone zarządzanie pamięcią masową
z inteligentną obsługą przez cały cykl życia danych
Produkty, Rozwiązania i usługi dla przedsiębiorstw
Uproszczone zarządzanie pamięcią masową
z inteligentną obsługą przez cały cykl życia danych
Opis
Data Management Engine
Data Management Engine (DME) is an intelligent management platform designed for all scenarios. Unifying Operations and Maintenance (O&M), 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.
• 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.
• DME also helps manage mass data for on-demand data access and mobility, secures data protection, and supports data-driven strategies.
Higher O&M
Efficiency
Faster
Troubleshooting
Capacity Bottleneck
Prediction in Advance
Lower Data
Storage Costs
Three Reasons for Choosing Huawei 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.
Intelligent Data Management
• Convenient data retrieval in seconds: File retrieval from 10 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): Cold/hot data identification and automatic mobility of tiered data are supported. Invalid data identification and automatic deletion of expired data reduce data storage costs.
• Enhanced data protection: Visualized global data copy management enables policy configuration in batches with just one click. Industry-leading network-storage collaboration is used to prevent ransomware.
Resources