Can AI get you from network monitoring to proactive observability? (Image Credit: Jordan Harrison on Unsplash)How do we move from network observability to proactive monitoring? It has been a challenge for most network teams for decades. One of the problems network teams face is the vast volume of data they deal with and the lack of time and skills to interpret it.

Two decades ago, that data was generally contained, with the majority of traffic understood by network teams. Today, the explosion of cloud apps and remote working has made understanding traffic a significant challenge. It is not just the volume of data but the complexity of that data that makes the challenge hard to overcome.

Stephen Amstutz, head of strategy and innovation at Xalient (Image Credit: Xalient)
Stephen Amstutz, head of strategy and innovation at Xalient

So, where do we start? To find out, Enterprise Times talked with Stephen Amstutz, who’s the head of strategy and innovation at Xalient. Amstutz believes that the move to software-defined networking gives us a chance for greater observability of data. He talks about the gains from having greater granularity into how applications are consuming the bandwidth.

But this is not just about utilisation. Amstutz says, “Not only are we getting utilisation statistics, but we’re also getting all of the metadata that goes along with that, so we know what applications are being used and consumed, and we know what users are consuming those applications. We’re able to much more effectively understand how the network is being used.”

That understanding allows an organisation to set its Quality of Service metrics to prioritise key applications. It also highlights where legacy applications are still in use. A critical area when companies are moving to the cloud.

To hear more of what Amstutz has to say, listen to the podcast.

Where can I get it?

You can listen to the podcast by clicking on the player below. Alternatively, click on any of the podcast services below and go to the Enterprise Times podcast page.

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Ian Murphy
Ian Murphy is an enterprise technology journalist, podcaster, editor and industry analyst with more than 40 years' experience covering enterprise IT, cybersecurity, networking, cloud and artificial intelligence. His career combines hands-on technology experience with long-term industry analysis and journalism. In the 1980s, Ian authored an industry report on expert systems, an early application of artificial intelligence, and founded an IT training company delivering accredited training on enterprise software. He later became a Microsoft Certified Trainer, helping professionals understand and apply business technologies. Alongside his work as a freelance journalist and analyst, Ian developed software, deployed enterprise networks and managed software and technical support teams. That practical experience informs his writing, providing insight into not only what technologies promise, but how they are implemented and used in real enterprise environments. Ian has written thousands of articles, produced industry research, hosted podcasts and interviewed technology leaders across enterprise software, infrastructure, cybersecurity and AI. His work focuses on helping CIOs, IT leaders and technology professionals understand the opportunities, challenges and real-world impact of emerging technologies.

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