Often, performance monitoring systems use several analysis methodologies to determine network performance and cover the entire 360-degree conundrum. By combining effective methodologies, the crafted solutions can help you give a better analysis of performance statistics.
Active monitoring and passive monitoring are two of the most prevalent performance surveillance strategies.
Why choose Mirat’s monitoring tool?
Mirat.ai’s tool, the 360 monitoring system, monitors end-to-end nodes through high-definition network testing modules. It essentially replicates traffic by delivering synthetic packet data over your network to multiple endpoints. This is done by sensors (such as samples), which inject into the network a large number of test packets that are recorded for calculating KPIs, such as packet loss and delay. You can find potential problems before they manifest themselves to you or to your end-users, who depend on you to gain an amazing digital experience by pro-actively testing your network for faults and by applying performance analyses for behavior correlation.
Active monitoring techniques
While active monitoring does not detect real network traffic, the problem areas can be visible prior to affecting the consumers. Thanks to real-time analytics, blind spots can be eliminated by collecting information about performance throughout your network.
Active monitoring provides a proactive method for the resolution of network problems by identifying potential problem areas before affecting the end-user and Mirat knows this too well. Since the active monitoring sensors are simply deployed as software for distributed architectures, you can also aim for specific network areas to see how new connections affect network performance.
Proactive analysis reports
Precisely because this proactive analysis is essential for your IT company strategy is active monitoring. Because of the lack of a failure or degradation in order to notify you of problems, you can identify problems long before they cause end-users to fail. This not only saves your organization much in time and money, but it also minimizes network failures that would harm the business adversely and reduce your user satisfaction and experience.
To summarise, active monitoring may not always deliver 100% accurate outcomes and requires predictive data that are drawn via analytics, correlation, and process roadmaps. Companies need to invest in instrument security systems as well that combine 360-degree monitoring through passive surveillance and other 3rd party resources.
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Mirat.ai offers all intake and drive-by predictive analysis, AI, and machine learning in real-time. We know you want to know more, and we want to help you out. Take the demo serviced on-site to help you take a closer look at our modules.