Catchpoint vs. New Relic

Proactive Website and API performance testing, Synthetic monitoring, and third-party integration are where Catchpoint is best suited. Catchpoint is less appropriate in Deep Application Performance monitoring, debugging complex user journeys in real-time, Small businesses, and Mobile app performance monitoring. These are the scenarios where I find Catchpoint is well-suited and scenarios where it is less appropriate.

Incentivized

It is perfect for observing our energy platforms during high-load situations, such as grid demand spikes, or our real-time ingest of sensor data, allowing us to respond in real time to anomalies. And it’s a good way to monitor API performance in client dashboards, too. But it’s not as conducive for low-budget/low-code work or deep customization that doesn’t get ample development support given its complexity and expense.

Incentivized

• 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.

Incentivized

• Capturing Front end Metrics specially web vitals and setting up alerts for violations really helps.
• NRQL is great tool to fetch the data you need. With queries you can pull the data and put the data by table or by chart. You can even trend graphs and create dashboards.
• Synthetic Monitoring is very helpful for proactive monitoring. You can use it for user journeys by using scripted browser monitor type or just check availability using PING type.
• ASk AI is great addition that can fetch details you need with natuaral language

Incentivized

• The ability to monitor the Catchpoint nodes with the ability to setup a take a recovery action based on specific criteria
• The ability to tell us when we are at X% capacity so that we better plan or budget for increasing the "capacity" of the Catchpoint nodes before we get to an overloaded state. The capacity utilization graph is not a reliable indicator for this metric. How can the capacity utilization rate get above 100%, it does not make sense

Incentivized

• Support for SQL like query with more functional features of analysis while viewing distributed tracing.
• support for very low level specific integration from APIs to classes to functions to piece of code
• More detailed documentation, as we faced issues while integrating for the first time.

Incentivized

we are heavily dependent catchpoint system for the following functions * Detect end-user availability/performance-related problems * Ensures
service level objectives (SLO) are met, that prevents service level
agreement (SLA) breaches * Identify and understand the cause of any
network connectivity or application level issue * Improves the
availability and response time service levels

Incentivized

I have not yet found any similar product that offers me this range of features to help us keep our online service fast and reliable. Besides this, New Relic is constantly evolving by adding new plugins to emerging technologies and platforms. Server performance measuring features are a key point as our user database grows.

It's hard to find the functionalities that I am looking for in the application. Even if I did something in the past, after a time I have to re-learn again where the functionalities are. This is a powerful tool, but not user-friendly. Texts in the buttons and menus are not always meaningful or easily comprehensible.

Incentivized

New Relic helps in observability setup for the critical environments and getting known about the issues and troubleshoot the applications and services. Alerts helps in knowing the abnormal state of the system and services, Dashboards are used for visualizing the key metrics and muting the unwanted notifications and dropping the extra data from the source.

Incentivized

Never observed an outage

Incentivized

Always responsive. Never observed slow page loads

Incentivized

The customer support is fantastic as they keep you updated and follow up even though we may not even follow up. Make sure they send a communication so that we remain updated. They value engineers who will get on a call with you to understand any requirement we have on any test, and they bring in the best developers on call.

Incentivized

The support team has been really helpful and resolved most of the issues on time. However, for a couple of issues, several follow-ups were needed to elicit a reasonable response. The issue was deeply technical and could have been investigated only by their Architects, and bringing them into the ticket took longer than needed

Incentivized

very easy to implement as the product is user-friendly

Incentivized

The documentation was clear and concise; the only issue we ran into was custom application naming. Due to HTTPD mod_fcgid and the need for the application name to be set in php.ini (not in .htaccess or the virtual host directive) ... we had issues setting this up.

Datadog is good, but more expensive. New Relic is good but does not provide the same features as Catchpoint does. Checkly is good, but Catchpoint offers different frameworks to create synthetic tests, which is preferable to my engineering team.

Incentivized

Its covers all the observability aspects as well as giving us more competitive pricing models compared to other providers that's why I like to use New Relic in place of other tools. And also it introduces new Agentic AI features as well as it adopts AI in its RCA. As an observability tool it should reduce the RCA of any problem and New Relic is continuously focusing on that that's why I am preferring New Relic in place of other tools.

Incentivized

Agent deployment is easily integrated into our workflow. Adding the agent to new servers is quick and painless

Incentivized

• 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.

Incentivized

• We were able to quickly identify our most time consuming APIs. In some cases we were able to bring down times for some apis from 4s to 200ms.
• We were able to identify our slowest database queries and optimize them for quicker response times.

Incentivized