The highly dynamic and complex nature of virtual environments requires a holistic perspective and making essential correlations with the applications and other parts of the infrastructure. It requires a new class of data management and analysis technique(tools designed for physical infrastructure do not work well with the dynamic and decentralized nature of virtual environments).

Operational analytics consists of two key areas:

• Performance analytics help customers to adopt a proactive approach in IT operations for faster issue-detection and resolution by enabling the following:
  • Proactive control of service performance and availability based on automatic learning, near-real-time adjustment of baselines, statistical and trending algorithms
  • Service impact analysis and prioritization
  • Problem isolation and root-cause analysis

• Capacity analytics enable a predictive approach through current and historical data analysis, simulation, and what-if scenario-enabling:
  • Capacity planning and forecasting for medium to long-term provisioning
  • Predictive alerts
  • Near-real-time capacity optimization through automated provisioning and scaling