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An intelligent storage management platform, Huawei OceanStor DJ provides a unified interface, open APIs, AI enablement with cloud synergy, and multi-dimensional intelligent risk prediction and tuning. Cloud synergy efficiently resolves problems with AI model training on the cloud, providing real-time model updates for more accurate risk and fault prediction.
OceanStor DJ automates intelligent management and Operations and Maintenance (O&M) throughout the data lifecycle — from storage planning and construction, to O&M and optimization — using Service Level Agreement (SLA) tiering, provisioning, protection, alarm, and troubleshooting, to simplify storage management and boost the operational efficiency of data centers.
A unified, single interface simplifies multi-device storage management with one web page for automatic allocation, protection, and intelligent O&M of storage resources.
AI models and integrated prediction, analytics, decision-making, and execution engines automatically eliminate risks, alarms, and management problems.
90% accurate risk prediction helps eliminate performance bottlenecks, protecting service continuity with intelligent SLA adjustments.
|Device Management||Block storage models||Huawei enterprise block storage series|
|Storage device management scale||Single-node deployment: ≤16 sets|
|N-node deployment: ≤ N x 16 sets (N value: odd number)|
|Hosts and operating systems||SUSE Linux Enterprise Server, CentOS, Red Hat Enterprise Linux, Windows Server, AIX, HP-UX, Euler, vCenter Server, ESXi, and other mainstream systems|
|FC switch models||Mainstream models of Huawei and Brocade|
|Resource Pooling||Customized SLAs||QoS policies, scheduling policies, and quota policies|
|Automatic Service Deployment||Customized resource provisioning||Resource provisioning by storage device: volume creation, expansion, mapping, and deletion|
|SLA resource provisioning||Resource provisioning by SLA: volume creation, expansion, mapping, and deletion|
|Scheduled tasks that can be orchestrated||Supports atomic operation orchestration and scheduled execution|
|Intelligent O&M||Alarm monitoring||Capacity and performance thresholds, compliance check, alarm masking, and aggregation|
|E2E fault location||E2E performance analytics and topology|
|Intelligent prediction||Capacity and fault prediction|
|Data flow||Allows SLA changes|
|Deployment Specifications||Operating system||EulerOS 2.5 x64|
|CPU||8-core x 2 GHz CPU|
|Disk space||500 GB|
|Management network bandwidth||100 Mbit/s|
|Management network latency||50 ms|
|Compatible Browsers||Browsers||Chrome, Firefox, Safari, Edge, and Internet Explorer|