Enhance performance and avoid disruption with self-learning management tools that supply predictive analytics and Smart Alerts on application and infrastructure health—enabling proactive identification and remediation of emerging performance, capacity, and configuration issues.
Dashboard and Powerful Visualizations Prebuilt and customizable dashboards, reports, and views provide real-time insight into infrastructure performance, potential problems and areas where efficiency can be improved, to enable informed and intelligent operational decisions.
Self-learning algorithms and predictive analytics correlate monitoring data and provide intelligent alerts on underlying performance issues with clear recommendations for corrective action, enabling faster problem resolution. Dynamic thresholds adapt to your environment, significantly reducing false alerts.
Workloads are often placed sub-optimally, resulting in inefficient usage of clusters and chronic resource contention. Resolution is a difficult, time-consuming, and non-strategic activity.
Aggregate resources and applications by business or operational logic and apply group policies to prioritize thresholds and alerts. Map virtual infrastructure services, examine application discovery status and analyze dependencies to simplify root cause analysis and build reliable disaster recovery plans.
Quickly identify and analyze performance anomalies, faults, resource constraints and bottlenecks with these in-depth views into all areas of your infrastructure.
Performance trends, projections and extended forecasts guide you in intelligent capacity planning to address future needs. Identify overprovisioned VMs at a glance and right-size them to reclaim unused resources.
Save “what-if” scenarios and commit capacity models to the analytics engine to influence capacity calculations and alerts. Extend capacity planning and project management capabilities beyond vSphere and across physical and application-level metrics.