ThousandEyes Features

Provides users with real-time information on how individuals are using accessibility accomodation tools to interact with the site or application.

Tracks application and infrastructure resource needs and alerts administrators or automatically scales usage to minimize waste.

Allow administrators to gain valuable insights related to end-user behavior.

Deploys an agent directly to the employee endpoint and measure real-time end-user experience from that vantage point.

Monitors web-content ensuring all assets and resources are displayed as intended, alerting administrators as issues arise.

Alert over email, text, phone call, or more to multiple parties.

Provides information related to unnecessary spending and unused resources relating to their digital offerings.

Sets a standard performance baseline by which to compare live network activity. 41 reviewers of ThousandEyes have provided feedback on this feature.

Charts or graphs live and historical network performance for quick status checking and analysis. 47 reviewers of ThousandEyes have provided feedback on this feature.

Gives insights into which specific network paths are performing suboptimally. 45 reviewers of ThousandEyes have provided feedback on this feature.

Measure, manage and act on the key drivers of your digital employee experience,

Alert on easily configurable events over email to multiple parties.

Generates alerts for whenever a website or application goes down, experiences an error, makes a major change, or other events.

Provides tools to track and measure application or website performance.

Track problems and manage resolutions related to end-user experience issues.

Tracks infrastructure resource needs and alerts administrators or automatically scales usage to minimize waste.

Enables troubleshooting across devices, applications, virtualization, and networks, to identify the likely root causes of issues.

Generates alerts for whenever a website or application goes down, experiences an error, makes a major change, or other events.

Provides tools to track and measure application or website performance.

Track problems and manage resolutions related to end-user experience issues.

Continuously monitors network performance across the entire span of a network. This feature was mentioned in 48 ThousandEyes reviews.

Based on 48 ThousandEyes reviews. Sends alerts via pop-up notifications, texts, emails, or calls regarding network issues or failures.

Provides monitoring capabilities for multiple networks at once. 40 reviewers of ThousandEyes have provided feedback on this feature.

As reported in 23 ThousandEyes reviews. Tracks infrastructure resource needs and alerts administrators or automatically scales usage to minimize waste.

Based on 14 ThousandEyes reviews. Monitors performance and statistics related to memory, caches and connections.

As reported in 18 ThousandEyes reviews. Detects anomalies in functionality, user accessibility, traffic flows, and tampering.

Constantly monitors system to detect anomalies in real time. This feature was mentioned in 23 ThousandEyes reviews.

Enables monitoring of security and compliance standards across cloud infrastructure.

Actively monitor status of work stations either on-premise or remote. This feature was mentioned in 20 ThousandEyes reviews.

Allows users to track and control cloud spend across cloud services and providers. This feature was mentioned in 16 ThousandEyes reviews.

Automatically scales resources based on demand and optimizes for performance and cost.

Based on 23 ThousandEyes reviews. Creates reports outlining resource, underutilization, cost trends, and/or functional overlap.

As reported in 24 ThousandEyes reviews. Presents information and analytics in a digestible, intuitive, and visually appealing way.

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.

Ingests and processes multiple telemetry types, such as logs, metrics, and traces.

Supports ingestion and standardization of observability data via OpenTelemetry protocol.

Displays relationships between services to visualize system dependencies.

Provides a consolidated view of system-wide telemetry in a single dashboard.

Allows users to explore and visualize distributed traces and span relationships.

Correlates logs, metrics, and traces to surface performance patterns and root causes.

Identifies likely causes of issues using system insights and correlation logic.

Automatically alerts users to anomalies or critical events using contextual data.

Provides observability into containerized workloads and Kubernetes clusters.

Enables observability across public cloud, private cloud, and on-prem environments.

Forecasts future system issues based on historical performance trends.

Summarizes incident root causes and potential fixes using generative AI.

Uses machine learning to detect unusual behavior across telemetry data.

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

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

Utilizes machine learning to automatically detect and alert on unusual patterns in infrastructure metrics.

Provides AI-generated insights and actionable recommendations to optimize resource performance and cost.

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