Catchpoint

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.

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

New Relic and Datadog

Atlassian Jira, Nagios XI, OpsGenie

We use Catchpoint to conduct transaction/playwright tests, and monitor the performance, by using different nodes across all over the world. We care about around-the-world coverage, and the performance differences. This is how the Catchpoint meets our use case, and we utilize nodes locations, and detail waterfall chart to understand the performance overall.

• fewer outages
• very easy to identify the issue of performance bottleneck

Dynatrace

Dynatrace, Jenkins

Catchpoint is used for Synthetic monitoring of internal IT resources from various internal office locations and also for Product observability initiative from various last mile connectivity networks and cloud locations in accessing and using the cloud software products to measure the customer impact, connectivity challenges and product usage challenges. Real User monitoring is out of scope currently and IPM is under deep dive evaluation.

• Catchpoint points based licensing for public hosted nodes is complicated and unpredictable in points required.
• Catchpoint lacks AI powered anomaly detection and automated remediation. This gap means more manual triage and slower MTTR during incidents.
• The advanced 360 degree blackbox monitoring is enabling us to monitor the APIs, UI and proactively gain insights into the application behavior and performance before customer is impacted.

Cisco ThousandEyes, Splunk AppDynamics and Dynatrace

Elasticsearch, Dynatrace, Prometheus, Grafana, VictoriaMetrics Community, Gainsight CS, Gainsight PX, Azure AI Studio, Vertex AI

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.

• 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.

Datadog, New Relic and Checkly

Datadog

As a AWS Network Specialist I would say Catchpoint helps in various aspects in organization. Since it has capability for visibility into internet stack which we can say outside of data center visibility. The visualization dashboard is very helpful and able to find out the issue in minutes - where it is broken in our cloud or datacenter or somewhere else. By the enterprise nodes we can get the insights of performance degradation from the Catchpoint even before customers. Also the BGP test cases are very helpful and it will send alerts when there is Hijack and it has good alerting system with detailed analysis in mail. Overall I can say it is very helpful for all organizations that it can see things which we can't.

• Problem Solving
• Detail understanding
• Quick Fixes

SolarWinds Access Rights Manager (ARM)

HashiCorp Terraform, Fortinet FortiGate, GitHub