Catchpoint is an Internet Resilience solution offering services for retailers, Global2000, CDNs, cloud service providers, and xSPs that help increase their resilience by catching any issues in the Intenet Stack before they impact their business.
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OpenText Network Node Manager i (NNMi)
Score 8.4 out of 10
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OpenText Network Node Manager i is a network management platform acquired by Micro Focus from Hewlett-Packard Enterprise, and now supported by OpenText.
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Pricing
Catchpoint
OpenText Network Node Manager i (NNMi)
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
Catchpoint
OpenText Network Node Manager i (NNMi)
Free Trial
Yes
No
Free/Freemium Version
No
No
Premium Consulting/Integration Services
No
No
Entry-level Setup Fee
No setup fee
No setup fee
Additional Details
- White glove migration services
- Annual subscription
- Professional Services
- Competitive Benchmarking
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.
[Micro Focus Network Node Manager i (formerly HP Network Node Manager)] is like you implement it, setup monitoring and alerting and forget it forever until any major activity is there and that is possible because of the product's stability. Another reason for product stability is less features as compared to other vendor tools and its own inbuilt database.
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.
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
Most customers would like to see NNM get away from using some Java applets.
In environments where we see more than 10 different network device vendors in production, we see issues with L2 mapping. Different vendors use different L2 protocols. This can cause an issue with L2 discovery and mapping.
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
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.
NNMi's user interface is described as well-designed and intuitive, making it easy for users to navigate and perform tasks quickly, thereby enhancing the overall user experience. The system offers a powerful network discovery mechanism that maps out your network's physical and virtual topology, enabling you to visualize connections between devices and identify potential issues. Fault monitoring is at its best. NNMi provides a unified environment for viewing faults, availability, and performance data, consolidating essential information into a single platform.
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.
Support is long and arduous and often are unable to help resolve the issue. We often have to do escalations or duty manager to get things moved. Even with a technical account manager, we do not see much improvement from a support point of view. This is an area where Micro Focus has a lot of improvement to do.
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.
NNMi is best suited for enterprise-grade, large to very large infrastructure. You have fewer servers to install the product and manage all your devices through a single server, which also enhances ease of use.
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.
