Sr Devops Engineer in Engineering at Here Technology (5001-10,000 employees 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

Nathan (Fanyang) Kong View profile

IT Consultant in Information Technology at SAP (10,001+ employees employees)

Use Cases and Deployment Scope

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.

Pros

node location
easy to write the script
no downtime
details of the performance
good chart/visualization

Cons

Scripts, like transaction and playwright, not stable
very easy to fail my case, without legit reason
no version control, this is a huge pain point for me
lack of organizations of the project

Return on Investment

fewer outages
very easy to identify the issue of performance bottleneck

Alternatives Considered

Dynatrace

Other Software Used

Dynatrace, Jenkins

Verified User

Director in Information Technology (10,001+ employees employees)

Use Cases and Deployment Scope

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.

Pros

Our standard operating material documents Catchpoint’s breadth on HTTP/Browser, API, Streaming, DNS, FTP, TCP, SMTP, Ping, Traceroute, SSH with content validation and custom widgets/dashboards. This gives SREs and L0/L1 a single place to validate both page flows and the underlying network/application protocols.
Product runbooks use Catchpoint to validate critical steps (for ex, login, overview dashboard, unit dashboards) and to detect DNS issues that break those journeys. so we catch experience regressions even when the backend looks healthy.
We’ve standardized Catchpoint alert categories/templates with ITSM so L0 includes the right analysis in handoffs. This tightened “first message, best message” during incidents.
Our operating procedures use Catchpoint for alwayson availability checks with email notifications and multi‑location verification when a site is down. This is useful for unambiguous “is it up/where is it failing” signals.

Cons

Catchpoint excels at realtime monitoring but offers only basic trend analysis. We noted that historical insights and advanced anomaly detection are weak compared to other observability platforms which provide richer forecasting and correlation features. This limits proactive problem prevention and long horizon of capacity planning.
Catchpoint does not provide deep application level visibility like code level tracing, log ingestion, or distributed tracing. It is inability to correlate API and frontend failures with backend logs or infrastructure metrics is a challenge. This forces teams to rely on other tools for full stack troubleshooting.
Catchpoint lacks AI powered anomaly detection and automated remediation. This gap means more manual triage and slower MTTR during incidents. Internal roadmap discussions flagged this as a strategic limitation for predictive observability.

Return on Investment

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.

Alternatives Considered

Cisco ThousandEyes, Splunk AppDynamics and Dynatrace

Other Software Used

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

Verified User

Director in Information Technology (10,001+ employees 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

Verified User

Employee in Information Technology (10,001+ employees employees)

Use Cases and Deployment Scope

Catchpoint is one of our key observability tool as it provides great insights from the performance and availability perspective of an application. This helped us fine-tune and enhance our end-user experience to a great extent. In our organisation, we have been using the tool to create multiple kinds of monitors like web, transaction, SSL and API. Each of these monitors are extremely insightful and have helped us to understand our applications and dig deep into the flaws. It provides an excellent Dashboard feature that comes very handy to the business and product owners who at any given point of time are now able to glance through their app performance, response time, availability and similar metrics. We are able to proactively triage the app issues, before the users are aware of it. For me, It has been a great experience using Catchpoint and I would recommend it to my peers.

Pros

Catchpoint Synthetics: We create our synthetic monitoring using catchpoint. Creating the synthetics monitors are easy and requires basic knowledge on selenium and javascript. It allows you to run the test from external(backbone) and internal enterprise nodes. The screenshot and filmstrip feature is an add-on along with various customisations. Once created, It provides a detailed insight of each request that is involved in the application flow which helps us in addressing the issue at the request level.
Catchpoint API Test: This is another kind of test which we have explored in our organisation. This has helped us to maintain the health check of our APIs and also we have utilised it for a variety of our use cases.
Catchpoint Dashboard: This is our one-stop shop for all our monitors. It has multiple widgets that displays various application performance metrics. We use this feature immensely and it is of great value to the business.
Catchpoint UI: It is very user friendly and with basic introduction anyone can just get started with it.

Cons

Missing Functionality: For our organisation, we use multiple observability tools and what we miss in Catchpoint is its ability to display a list of muted monitors in the dashboard. This was a business requirement for our company where the business wanted to know at any given point of time, a list of monitors that were muted during an outage or a scheduled maintenance. This feature was unavailable in Catchpoint, however, we hope to see some enhancements in the future.

Return on Investment

With the help of Catchpoint, we are able to address issue before our customers so our triage time has reduced.
We are able to reduce outages and unwanted user incidents.
We are able to get to the root cause of the issue efficiently post implementing catchpoint monitoring.

Alternatives Considered

Datadog, Prometheus and OpenTelemetry

Other Software Used

Datadog, Prometheus, Splunk Enterprise

Catchpoint

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Use Cases and Deployment Scope

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Use Cases and Deployment Scope

Pros

Cons

Return on Investment

Alternatives Considered

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