Auvik Features

Continuously monitors network performance across the entire span of a network.

Sends alerts via pop-up notifications, texts, emails, or calls regarding network issues or failures.

Provides monitoring capabilities for multiple networks at once.

Sets a standard performance baseline by which to compare live network activity.

Charts or graphs live and historical network performance for quick status checking and analysis.

Gives insights into which specific network paths are performing suboptimally.

Automate how physical and virtual devices are configured, handled, tested, deployed, and operated inside a network.

Record and analyze the traffic on network.

Ensure that only certain users have access to a system.

Analyze network data to identify trends and patterns.

Infrom user of upgrades and repairs to network resources.

Monitor the performance of network resources, such as switches, routers, and servers.

Automatically discover network assets.

Build map of network resources based on dependencies and connections.

Notify user when network related error arise.

Provide API and custom sensors for easy integration.

Offers full observability of all network environments, including on-premises, cloud, SD-WAN, WLAN, and edge computing.

Automatically detects and maps all network devices and architectures, reducing manual effort and improving visibility.

Provides true real-time network monitoring to detect and resolve issues instantly, rather than relying on near-time data.

Uses AI-driven analysis of historical and real-time data to forecast network issues before they impact performance.

Combines packet and flow analysis techniques to provide a comprehensive view of network traffic and performance.

Ensures all monitored network data is securely encrypted both in transit and at rest.

Supports integration with Zero Trust frameworks and identity management solutions to enhance network security.

Unifies network performance monitoring with security intelligence to identify and mitigate threats in real-time.

Continuously analyzes and adjusts network configurations to optimize performance and reliability.

Automates routine network monitoring tasks, reducing operational overhead and human error.

Uses machine learning to identify network anomalies, preventing security and performance issues before they escalate.

Automates corrective actions for common network issues, reducing downtime and manual intervention.

Leverages AI to anticipate hardware failures, capacity issues, and performance bottlenecks before they occur.

Capability to perform complex tasks without constant human input

Ability to break down and plan multi-step processes

Works across multiple software systems or databases

Improves performance based on feedback and experience

Engages in human-like conversation for task delegation

Anticipates needs and offers suggestions without prompting

Makes informed choices based on available data and objectives

Capability to perform complex tasks without constant human input

Ability to break down and plan multi-step processes

Works across multiple software systems or databases

Improves performance based on feedback and experience

Engages in human-like conversation for task delegation

Anticipates needs and offers suggestions without prompting

Makes informed choices based on available data and objectives