Mean Time to Repair (MTTR) is a common term in IT that represents the average time required to repair a failed component or device. In networking, MTTR is often longer than desired because there are many interdependencies, whereby an issue in one part of the network may cause a problem much farther downstream. Furthermore, a configuration change might appear to create a new issue, when in fact it just exposed something that was there all along but hidden. It takes quite a bit of forensics to get to the root cause of a network problem. In the meantime (pun intended), there is plenty of blame to go around. The Wi-Fi network seems to be at the top of the list when the accusations fly – more so than any other section of the network. Why is that?To read this article in full, please click here
Mean Time to Repair (MTTR) is a common term in IT that represents the average time required to repair a failed component or device. In networking, MTTR is often longer than desired because there are many interdependencies, whereby an issue in one part of the network may cause a problem much farther downstream. Furthermore, a configuration change might appear to create a new issue, when in fact it just exposed something that was there all along but hidden. It takes quite a bit of forensics to get to the root cause of a network problem. In the meantime (pun intended), there is plenty of blame to go around. The Wi-Fi network seems to be at the top of the list when the accusations fly – more so than any other section of the network. Why is that?To read this article in full, please click here
Artificial intelligence is all the rage these days. There’s broad consensus that AI is the next game-changing technology, poised to impact virtually every aspect of our lives in the coming years, from transportation to medical care to financial services. Gartner predicts that by 2020, AI will be pervasive in almost every new software product and service and the technology will be a top five investment priority for more than 30 percent of CIOs.An area where AI is already showing enormous value is wireless networking. The use of machine learning can transform WLANs into neural networks that simplify operations, expedite troubleshooting and provide unprecedented visibility into the user experience.To read this article in full or to leave a comment, please click here
Artificial intelligence is all the rage these days. There’s broad consensus that AI is the next game-changing technology, poised to impact virtually every aspect of our lives in the coming years, from transportation to medical care to financial services. Gartner predicts that by 2020, AI will be pervasive in almost every new software product and service and the technology will be a top five investment priority for more than 30 percent of CIOs.An area where AI is already showing enormous value is wireless networking. The use of machine learning can transform WLANs into neural networks that simplify operations, expedite troubleshooting and provide unprecedented visibility into the user experience.To read this article in full or to leave a comment, please click here
In my last post, “#WirelessSucks: Where do we go from here?” I talked about the need for better insight into the root cause of network problems. All too often, the Wi-Fi infrastructure is blamed for bad network connectivity when, in fact, the wired network (e.g. DNS, DHCP, etc.) and/or the mobile devices may be equally at fault.
I identified four components that are required to accurately and easily address this problem:
Monitoring networks at a service level
Real-time visibility into the state of every wireless user
A cloud infrastructure to store and analyze real-time state information and aggregate it to the highest level of commonality
Machine learning to automate key operational tasks, such as event correlation and packet captures
Let’s go into more detail on the first of these requirements: service-level monitoring and enforcement.To read this article in full or to leave a comment, please click here
In my last post, “#WirelessSucks: Where do we go from here?” I talked about the need for better insight into the root cause of network problems. All too often, the Wi-Fi infrastructure is blamed for bad network connectivity when, in fact, the wired network (e.g. DNS, DHCP, etc.) and/or the mobile devices may be equally at fault.
I identified four components that are required to accurately and easily address this problem:
Monitoring networks at a service level
Real-time visibility into the state of every wireless user
A cloud infrastructure to store and analyze real-time state information and aggregate it to the highest level of commonality
Machine learning to automate key operational tasks, such as event correlation and packet captures
Let’s go into more detail on the first of these requirements: service-level monitoring and enforcement.To read this article in full or to leave a comment, please click here
“The Wi-Fi doesn’t work.” After speaking to hundreds of customers of all sizes, this is consistently one of the top help desk complaints that I hear. Not surprisingly, this creates a common perception about wireless that is unflattering to say the least.Some of the time, this is a fair complaint. Wireless is a pervasive technology, and it is difficult to deliver a consistent and reliable experience across the exploding stream of different devices and device types.+ Also on Network World: Wi-Fi troubleshooting remains a challenge for most organizations +
Other times, however, the Wi-Fi network is just getting a bad rap. It is guilty by association—i.e an easy target for people to blame when other issues might be at play. In fact, all of the following issues could impact network connectivity, casting a pall over the wireless experience:To read this article in full or to leave a comment, please click here
“The Wi-Fi doesn’t work.” After speaking to hundreds of customers of all sizes, this is consistently one of the top help desk complaints that I hear. Not surprisingly, this creates a common perception about wireless that is unflattering to say the least.Some of the time, this is a fair complaint. Wireless is a pervasive technology, and it is difficult to deliver a consistent and reliable experience across the exploding stream of different devices and device types.+ Also on Network World: Wi-Fi troubleshooting remains a challenge for most organizations +
Other times, however, the Wi-Fi network is just getting a bad rap. It is guilty by association—i.e an easy target for people to blame when other issues might be at play. In fact, all of the following issues could impact network connectivity, casting a pall over the wireless experience:To read this article in full or to leave a comment, please click here
Sudheer Matta