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Catchpoint

Score8.5 out of 10

127 Reviews and Ratings

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What is Catchpoint?

Catchpoint is an Internet Performance Monitoring (IPM) and Digital Experience Monitoring (DEM) platform designed to provide visibility into the entire "Internet Stack"—from local user devices to global network infrastructure. Following its acquisition by LogicMonitor in December 2025, the platform is being integrated as a core component of the LM Envision observability suite to bridge the gap between internal infrastructure health and external user experience.

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Categories & Use Cases

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Who Buys & Uses Catchpoint

Catchpoint Reviews

What users are saying about Catchpoint.
View all Catchpoint reviews

Pros

  • Robust synthetic monitoring and testing across various protocols.
  • Effective performance analysis and troubleshooting for bottlenecks and page loads.
  • Efficient and noise-minimizing alerting and notification system.

Cons

  • User interface (UI/UX) lacks clarity and intuitiveness.
  • Limited advanced analytics and deeper application-level tracing.
  • Inefficient process for creating and maintaining dashboards.

Catchpoint - Winner for synthetic monitoring

Incentivized
Verified User
Engineer in Engineering (10,001+ employees)

Use Cases and Deployment Scope

Catchpoint in our org is being mainly used for monitoring and alerting, production regions certificate monitoring, API health check monitoring, Corebanking SSO login page load and login check and monitoring. Main business problem it tried to solve is alerting any failures with health checks of main production services. For our usecase we mainly used API test, certificate monitoring, latency reporting for any performance issues

Pros

  • user experience monitoring - for our usecase of test of a sso page load and login was crucial for corebanking solution services restart and during deployments, this feature of browser login and alert for issues was helpful
  • Certificate monitoring - with a number of certs maintained across systems, management and renewal of those was simplified with alerts setup for renewals
  • Multiple AZs and datacenters were involved for our application, this tool helped for easy monitoring and alerting, resulting in reduced MTTR

Cons

  • When compared to other observability and monitoring tools like Datadog, synthetic monitoring, RUM are complex for configurations in Catchpoint
  • Though the alerting or reason for failure of any health check is done, but the complete traces and root cause were not easily traceable.
  • One issue was the browser compatibility issues on some node was faced where tests were not happening, for testing to happen in various browsers and resolutions it is lacking

Return on Investment

  • Atleast for our team it avoided severity 1 and 2 issues on productions by API, login page and certificate monitoring, by alerting for any latencies and nearing expiry,
  • Helped in reducing the MTTR drastically, the incident respones were faster even before RRT was opened remediation were taken
  • Customer/agents facing issues that are reported in specific user journeys are easily simulated which are specific to any datacenter

Alternatives Considered

Splunk AppDynamics

Other Software Used

Datadog, New Relic, Docker, Amazon Elastic Kubernetes Service (EKS), AWS CloudFormation, Red Hat Ansible Automation Platform

Proud to recommend Catchpoint

Incentivized
Ben SaitzView profile
CCO in Customer Service at Netskope (1001-5000 employees)

Use Cases and Deployment Scope

In our organization, we use them for synthetic monitoring . Across all of our apps and data centers. We are global and have a many apps and Catchpoint is a great part of our performance monitoring systems.

Pros

  • reliable
  • great service
  • awesome innovation
  • CEO visionary

Return on Investment

  • ROI
  • ongoing features to meet needs
  • expansion of footprint

Catchpoint- the right tool for Synthetic Tests and more

Incentivized
Verified User
Director in Information Technology (10,001+ employees)

Use Cases and Deployment Scope

We use Catchpoint to perform synthetic checks of different (SasS) platforms in different regions. The business problem that Catchpoint addresses is the observability of a SaaS application from different regions, providing us with a lot of details such as availability, web response time, latency in different regions. If a problem/alert happens, it notifies the specified teams that will start to investigate why the problem/alert was triggered, which helps to minimize the time to get the right people to work and fix a production problem.

Pros

  • Catchpoint is really good at synthetic tests from edge, as it contains checks for DNS resolution, certificate expiration, api monitoring and more.
  • Catchpoint is also good in performance troubleshooting, helping to identify where the slowness is (in my cloud or in my customer ISP) as well as identify where package loss begins/happens.
  • Catchpoint is also good on capturing end-user page load results and present perfomance metrics that helps the engineering teams to identify and solve them properly.
  • The past thing that I know that Catchpoint can do, but I am not using it, is to integrate with my Incident Response Team to help pinpoint the issue quickly. But its something that my team is investigating.

Cons

  • The UI is not very intuitive and requires a few tries to understand where you can find the feature that you are looking for.
  • The performance metrics from synthetic tests are good, but sometimes it provides the wrong information, for example the web response time gets confused with the time of the test is self and I would like to see a report with the URLs that were used per step in the test and web response time that was taken in each one of the URLs, per region.

Return on Investment

  • Positive impact: to identify the web response time per region, and in which URL takes the most to load. That is super important when identifying performance in the UI and fix them.
  • Positive impact: to identify a big latency in one region which was just used a canary to observe its usage/behaviour first, and after a few hours we could see it was not going as expected.

Alternatives Considered

Datadog, New Relic and Checkly

Other Software Used

Datadog

Good Choice for Enterprise Grade use

Incentivized
Verified User
Employee in Information Technology (1001-5000 employees)

Use Cases and Deployment Scope

We're using Catchpoint for synthetic monitoring for our E-commerce websites, utilizing Web and API test types as well as fully scripted Transaction tests. Alert notifications via email and webhooks are very useful being the first point of incident interaction. We're using the scheduler to manage various test schedules and node groups to load balance between pre configured nodes across many geographical points to ensure global reliability.

Pros

  • Nodes group balancing
  • Alert configuration and notifications
  • Transaction script config with full customization
  • Customer support and ongoing communication

Cons

  • Visualization and Dashboarding setup and maintenance
  • Data export via API
  • Pricing model

Return on Investment

  • Faster time to acknowledgement
  • Much less investigation needed with the visibility the platform has provided during incidents
  • Sending incident updates via Alert notifications

Catchpoint Review Powerful Digital Experience Monitoring with Deep Network Insights.

Incentivized
Prabhat NayakView profile
Sr Devops Engineer in Engineering at Here Technology (5001-10,000 employees)

Use Cases and Deployment Scope

We use Catchpoint for proactive monitoring of application performance, availability, and user experience. It helps us detect and resolve issues before they impact users, optimize service reliability, and monitor third-party dependencies. Our use case includes synthetic monitoring, real user monitoring (RUM), API monitoring, and cloud/network performance tracking, ensuring seamless digital operations.

Pros

  • Synthetic Monitoring.
  • Real User Monitoring.
  • Network & Cloud Performance Monitoring.
  • Root Cause Analysis & Alerting.

Cons

  • Complex Setup & Configuration.
  • Alerting Noise & Customization.
  • Dashboard Customization & UX.

Return on Investment

  • Reduced Downtime & Faster Incident Resolution.
  • Improved User Experience & Retention.
  • Cost Savings Through Performance Optimization.

Alternatives Considered

New Relic and Datadog

Other Software Used

Atlassian Jira, Nagios XI, OpsGenie

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