Simple HTTP REST API monitoring
May 16, 2022

Simple HTTP REST API monitoring

Anonymous | TrustRadius Reviewer
Score 8 out of 10
Vetted Review
Verified User

Overall Satisfaction with Catchpoint

We use Catchpoint for monitoring the availability of global internet services provided by my company. The services are designed, implemented, and operated in-house. The services are deployed in the AWS cloud in multiple regions around the globe with a high-availability setup. The SLA for the services is strict, and Catchpoint has been used for monitoring that the services are available for the end-users globally.
  • Global coverage / available in multiple regions
  • Easily approachable web UI
  • Reliable
  • Technical documentation
  • Better API for managing the tests and other configuration (in addition to / instead of web UI)
  • More flexibility for defining test alert conditions (multiple availability and performance-based alert rules)
  • It gives more trust to the SLA measurements of our own services
  • Provides a unified solution for monitoring a wide variety of services
Interactive support works well (even though I don't have much experience with that). However, I consider written documentation part of the customer support too, and that's not good enough. More comprehensive and detailed technical reference documentation would reduce the need for interactive customer support, and save time for everyone.
N/A (I haven't participated in the purchase and setup of the product.)
(I haven't participated in the evaluation and purchase of the product.)

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I have used Catchpoint only for monitoring web service APIs (HTTP/REST APIs), and I don't have any experience in using it for emulating browser behavior. Catchpoint is suitable for simple availability and performance monitoring of HTTP REST APIs, but not flexible enough for (easily) implementing more complex test scenarios or alert conditions. It works well for small-scale use (configuration through web UI), but managing very large configurations (tens of tests) becomes hard because of insufficient API/automation support.