Software-Defined Data Center (SDDC) – In Depth

Infrastructure and applications services are requested via a self-service portal where authorized administrators, developers or business users can select services that comply with pre-defined business policies. Service delivery is highly automated. Logical infrastructure and application blueprints model services that can be deployed in any approved cloud environment. The right levels of resources are automatically allocated based on business requirements and service-level requirements. Workloads are dynamically and continually orchestrated and balanced as dictated by changing patterns of demand.

With a scale-out and resilient operations platform, administrators get control over performance, capacity and configuration management. Predictive analytics and smart alerts help identify and rectify potential issues before they impact service quality. Intuitive performance dashboards provide app-to-storage visibility across physical, virtual and cloud environments. Log management capabilities extend analytics to unstructured data, for better visibility and faster problem resolution. Over- and under-provisioned VMs are right-sized to balance service level requirements with resource utilization. Powerful capacity modeling identifies “what if” scenarios to anticipate and optimize future infrastructure spend.

CIOs and IT executives can demonstrate and compare the costs of complex initiatives and investments, including private and public clouds. Users can see the cost of service in the service catalog. Visibility and transparency of the types, cost and quality of IT services consumed by a business unit, enable show and charge back the quantity and types of IT services consumed. Industry benchmark data and reporting help compare IT expenses to peer companies and cloud service providers, for informed sourcing decisions that drive down costs.