UnityOneCloud

Monitoring of traditional IT infrastructure located within a physical data center, including servers, storage, network devices, and other hardware.

Monitoring of virtualized environments running on platforms like VMware vSphere, Microsoft Hyper-V, and Nutanix. This includes monitoring virtual machines, hosts, and other virtual resources.

Monitoring of resources and services running in public cloud environments provided by Amazon Web Services (AWS), Microsoft Azure, Google Cloud Platform (GCP), and Oracle Cloud Infrastructure (OCI). This includes monitoring virtual machines, storage, databases, networks, and cloud-specific services.

Monitoring of physical and virtual servers for performance metrics (CPU, memory, disk usage), health status, and availability.

Monitoring of storage systems (SAN, NAS, local disks) for capacity, performance (IOPS, latency), and health.

Monitoring of network devices (routers, switches, firewalls) and network traffic for bandwidth utilization, latency, and connectivity issues.

While not directly mentioned, it's highly likely that a comprehensive monitoring platform like UnityOne.AI also includes application performance monitoring (APM) capabilities. This would involve monitoring application response times, error rates, and other key performance indicators.

This allows users to define rules that specify what metrics or events to monitor and what actions to take when those conditions are met. This enables proactive monitoring and automated responses.

The platform uses AI to dynamically adjust alert thresholds based on historical data and trends. This helps reduce alert fatigue by filtering out non-critical or false positive alerts.

When an issue occurs, the platform uses AI to analyze the available data and identify the underlying cause of the problem, speeding up troubleshooting and resolution.

Based on the defined monitoring policies, the platform can automatically trigger actions such as generating alarms, running scripts to remediate issues, creating service tickets in an ITSM system, or sending notifications to relevant personnel.

Integration with Lightweight Directory Access Protocol (LDAP) allows for centralized user authentication and management, leveraging existing directory services.

RBAC allows administrators to define different roles with specific permissions, controlling who has access to what data and functionalities within the monitoring platform.

User credentials and other sensitive data stored within the platform are encrypted to protect against unauthorized access.

The platform provides real-time views of system performance and health, allowing users to quickly identify and address issues.

Users can create custom dashboards to display the specific metrics and information that are most relevant to them.

The platform can automatically discover and inventory resources in cloud environments without requiring the installation of agents on individual machines. This simplifies the onboarding process and reduces management overhead.

The platform can correlate performance data with cost information, helping users understand the cost implications of performance issues and optimize resource utilization.

This feature allows for monitoring and alerting based on business metrics and KPIs, rather than just technical metrics. This ensures that monitoring is aligned with business goals.