The Center of Excellence offers support which includes Demo`s and or PoC`s
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Grow your accounts and gain new customers with innovative as-a-service solutions. Help your customers lay the foundation for the future with enterprise solutions built for business-outcome, with pre-engineered architectures and data-driven insights.
Smart Data Center (SDC) is driving a quantum shift in proactive data center operations management. Leveraging analytics, machine learning (ML) and artificial intelligence (AI), this as-a-service solution delivers actionable insights that enable data-driven decision-making. With a holistic approach to managing IT infrastructure, IoT and facility resources, SDC reduces risk and costs, enhances customer experience, improves operational efficiency and agility – all while delivering increased services performance.
Service Health Dashboard: A single dashboard with key metrics enables senior leadership to easily understand data center storage health and performance.
Pre-built dashboard with key metrics that is customizable to customer-specific needs
Real-time visibility into key service delivery metrics with drill-down and future trend analysis
Global visibility and insights into service performance KPIs
Capacity Management: A global overview for storage, compute and fabric of available capacity and utilization levels with actionable insights: service, application, business unit aware insights.
Global visibility of deployed and utilized, and/or unallocated capacity across vendors for full IT stack across data centers
Historical usage analytics and trends, predictive insights (forecast) and prescriptive recommendations for remediation of risk or planning
Dynamic filtering and analytics on storage, fabric and VM usage and growth, categorized based on global, country, city, data center, business unit, technology, vendor, device and tier/pool
Performance Management: A global overview of asset performance trends for storage, compute and fabric with actionable insights and automated issue resolution based on artificial intelligence.
Predictive and prescriptive insights on performance issues that enables detection and proactive pre-failure intervention for risk mitigation
Near real-time root-cause analysis in one place to determine cause of failure
Near real-time performance metrics for balancing application workloads
Financial Management: Global breakdown of data center costs for heterogeneous data center environments by software and hardware with predictive and actionable insights, includes service, application and business unit aware insights.
Predictive forecasting of key cost drivers, for example, compute, network and storage, to enable advanced financial planning
Chargeback and/or showback insights by business unit for more granular financial transparency
Dynamic views of costs with future trends, categorized based on global, country, city, data center, department, etc.
Analytics-driven Automation: Provides the ability to autonomously and preemptively detect data center issues and orchestrate corrective actions using automation.
An autonomous and self-healing data center with the ability to proactively monitor itself with reduced human intervention
Automated adjustment of server, storage and network resources for optimization
A customizable platform for existing workflows, and adding and extending new automation workflows
Cooling Optimization: Global data center cooling optimization and energy efficiency and environmental data analytics, for example, temperature and humidity, with AI-driven insights and machine learning-based, self-healing capabilities. Dynamically optimizes cooling output that correlates with IT load, in real time, at every rack across the data center.
Measure heat load in the data center and cooling equipment efficiency
Determine cooling airflow influence
Predict how to optimize cooling
Eliminate hotspots and overcooling with dynamic control cooling equipment
Learn the effects of control actions