Business Development Manager at a tech services company with 11-50 employees
Real User
Top 5
2024-08-05T16:54:53Z
Aug 5, 2024
I use the platform for endpoint monitoring, web page monitoring, and server activity tracking. It helps diagnose issues within networks, service providers, or local data networks.
General Manager at a consultancy with 1-10 employees
Reseller
Top 20
2023-02-01T19:11:24Z
Feb 1, 2023
Our primary use case for the solution is for end vision monitoring with an endpoint solution. We also use them to create network status while focusing on the synthetic solution because of digital monitoring. Catchpoint provides a great amount of information, and customers want budgets, so they spend less on cheaper products. Catchpoint has a better chance to increase its market, but they have been focusing on the synthetic force because there is a clear advantage and digital monitoring. We deploy the solution on-premises.
Analyst/ Solutions Architect at a training & coaching company with 11-50 employees
Real User
2022-08-24T18:01:00Z
Aug 24, 2022
Our company tests versions of international websites for our clients and we use the solution's simple node backbone to track website response metrics and waterfalls. Our use case is unique because most companies conduct constant, proactive monitoring but we are responsive and only monitor when we experience issues.
We're using Catchpoint for monitoring activities. From a user perspective, we're using the tool to monitor online shopping customers and support global customers. Suppose customers face issues when purchasing, we get alerts from Catchpoint. Wherever there are red alerts, there are issues in specific markets, so these are the notifications we receive in Catchpoint. Through the tool, we can further drill down to see the flows we need to validate, and we can also see the input parameters the customers are using. We can also use Catchpoint to get test data in real time and validate those quickly. There are scatter plots in the tool where there are frequent drops or frequent notifications for specific markets, so we can just go over the scatter plots, see the time duration where we can identify, for particular markets, that the drops are consistent, and that would mean there aren't critical issues going on, so based on that information, we can take the actions we need.
Catchpoint is used for synthetic monitoring. For example, if you have a URL, you may want to ensure that your customer's journey is monitored from a user-experience standpoint. In Catchpoint, you can enter the user action, and that user action can then be configured as a script. Catchpoint will then continue to emulate that user's steps every 5 minutes or 10 minutes, as it is defined by you. If you have a service product and have just exposed the API in your data. In those cases, you can perform API monitoring by passing sample data contracts and validating whether your API is responding to the query or not. It can also tell you what the time is, what the response score is, and so on.
Catchpoint is the Internet Resilience Company™. The top online retailers, Global2000, CDNs, cloud service providers, and xSPs in the world rely on Catchpoint to increase their resilience by catching any issues in the Internet Stack before they impact their business. Catchpoint’s Internet Performance Monitoring (IPM) suite offers synthetics, RUM, performance optimization, high fidelity data and flexible visualizations with advanced analytics. It leverages thousands of global vantage points...
I use the platform for endpoint monitoring, web page monitoring, and server activity tracking. It helps diagnose issues within networks, service providers, or local data networks.
We use Catchpoint to monitor our websites in real-time. It helps us keep track of various metrics.
Our primary use case for the solution is for end vision monitoring with an endpoint solution. We also use them to create network status while focusing on the synthetic solution because of digital monitoring. Catchpoint provides a great amount of information, and customers want budgets, so they spend less on cheaper products. Catchpoint has a better chance to increase its market, but they have been focusing on the synthetic force because there is a clear advantage and digital monitoring. We deploy the solution on-premises.
Our company tests versions of international websites for our clients and we use the solution's simple node backbone to track website response metrics and waterfalls. Our use case is unique because most companies conduct constant, proactive monitoring but we are responsive and only monitor when we experience issues.
We're using Catchpoint for monitoring activities. From a user perspective, we're using the tool to monitor online shopping customers and support global customers. Suppose customers face issues when purchasing, we get alerts from Catchpoint. Wherever there are red alerts, there are issues in specific markets, so these are the notifications we receive in Catchpoint. Through the tool, we can further drill down to see the flows we need to validate, and we can also see the input parameters the customers are using. We can also use Catchpoint to get test data in real time and validate those quickly. There are scatter plots in the tool where there are frequent drops or frequent notifications for specific markets, so we can just go over the scatter plots, see the time duration where we can identify, for particular markets, that the drops are consistent, and that would mean there aren't critical issues going on, so based on that information, we can take the actions we need.
Catchpoint is used for synthetic monitoring. For example, if you have a URL, you may want to ensure that your customer's journey is monitored from a user-experience standpoint. In Catchpoint, you can enter the user action, and that user action can then be configured as a script. Catchpoint will then continue to emulate that user's steps every 5 minutes or 10 minutes, as it is defined by you. If you have a service product and have just exposed the API in your data. In those cases, you can perform API monitoring by passing sample data contracts and validating whether your API is responding to the query or not. It can also tell you what the time is, what the response score is, and so on.