UnityOneCloud

Additional features

On-premises infrastructure monitoring (data centers)

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

Private cloud monitoring (VMware, Hyper-V, Nutanix)

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.

Public cloud monitoring (AWS, Azure, GCP, OCI)

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.

Server monitoring

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

Storage monitoring

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

Network monitoring

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

Application monitoring (implied, but not explicitly stated)

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.

Monitoring policy automation (define what to monitor and actions to take)

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.

AI-based alert thresholds and noise reduction

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.

Root cause analysis (AI-driven)

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.

Automated incident response (alarms, scripts, ticket creation, notifications)

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.

LDAP authentication

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

Role-Based Access Control (RBAC) with granular permissions

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

Encrypted user data

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

Real-time monitoring insights

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

Customizable monitoring dashboards

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

Agentless resource discovery

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.

Correlation of system performance and spending

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

Business-level monitoring and alerts

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.