Catchpoint Features

Provides users with real-time information on how individuals are using accessibility accomodation tools to interact with the site or application. 16 reviewers of Catchpoint have provided feedback on this feature.

Based on 16 Catchpoint reviews. 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. This feature was mentioned in 15 Catchpoint reviews.

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

Allows for the collection of feedback (e.g. push notifications and surveys) to collect feedback from employees.

Monitors web-content ensuring all assets and resources are displayed as intended, alerting administrators as issues arise. 18 reviewers of Catchpoint have provided feedback on this feature.

Alert over email, text, phone call, or more to multiple parties. 18 reviewers of Catchpoint have provided feedback on this feature.

Sets a standard performance baseline by which to compare live network activity. 26 reviewers of Catchpoint have provided feedback on this feature.

As reported in 26 Catchpoint reviews. Charts or graphs live and historical network performance for quick status checking and analysis.

As reported in 25 Catchpoint reviews. Gives insights into which specific network paths are performing suboptimally.

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

Alert on easily configurable events over email to multiple parties.

Provides prebuilt scripts and configurable solutions which allow IT to remediate issues.

Gives clear guidance on what issues to prioritize, based on experience impact.

Based on 19 Catchpoint reviews. Generates alerts for whenever a website or application goes down, experiences an error, makes a major change, or other events.

Based on 19 Catchpoint reviews. Provides tools to track and measure application or website performance.

Track problems and manage resolutions related to end-user experience issues. This feature was mentioned in 15 Catchpoint reviews.

Tracks infrastructure resource needs and alerts administrators or automatically scales usage to minimize waste. 15 reviewers of Catchpoint have provided feedback on this feature.

Based on 26 Catchpoint reviews. Captures and analyzes each transaction by users of a website or application in real time.

As reported in 25 Catchpoint reviews. Provides high-frequency metrics data.

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.

As reported in 29 Catchpoint reviews. 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. This feature was mentioned in 28 Catchpoint reviews.

As reported in 24 Catchpoint reviews. Suggests potential remedies or improvements to slowdowns, errors, or failures.

As reported in 25 Catchpoint reviews. Provides monitoring capabilities for multiple networks at once.

As reported in 30 Catchpoint reviews. Monitors and test apps to address issues before they affect end users.

Provides dynamic end-to-end maps of every single transaction. 27 reviewers of Catchpoint have provided feedback on this feature.

Based on 23 Catchpoint reviews. Monitors cloud microservices, containers, kubernetes, and other cloud native software.

Monitors performance and statistics related to memory, caches and connections. This feature was mentioned in 13 Catchpoint reviews.

Detects anomalies in functionality, user accessibility, traffic flows, and tampering. This feature was mentioned in 21 Catchpoint reviews.

As reported in 22 Catchpoint reviews. Constantly monitors system to detect anomalies in real time.

Enables monitoring of security and compliance standards across cloud infrastructure.

26 reviewers of Catchpoint have provided feedback on this feature.

Based on 27 Catchpoint reviews.

Based on 27 Catchpoint reviews.

As reported in 20 Catchpoint reviews.

24 reviewers of Catchpoint have provided feedback on this feature.

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

Efficiently scales resource usage to optimize spend whith increased or decreased resource usage requirements. 18 reviewers of Catchpoint have provided feedback on this feature.

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

Creates reports outlining resource, underutilization, cost trends, and/or functional overlap. 21 reviewers of Catchpoint have provided feedback on this feature.

Based on 22 Catchpoint reviews. Presents information and analytics in a digestible, intuitive, and visually appealing way.

As reported in 27 Catchpoint reviews.

As reported in 26 Catchpoint reviews.

Based on 24 Catchpoint reviews.

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

Capability to perform complex tasks without constant human input

Works across multiple software systems or databases

Improves performance based on feedback and experience

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