ºÝºÝߣshows by User: DominicWellington / http://www.slideshare.net/images/logo.gif ºÝºÝߣshows by User: DominicWellington / Wed, 05 Sep 2018 14:10:45 GMT ºÝºÝߣShare feed for ºÝºÝߣshows by User: DominicWellington How AI Helps Observe Decentralised Systems /slideshow/how-ai-helps-observe-decentralised-systems/113076063 monitoramaamsfinalupdated-180905141045
The IT industry is in the middle of one of its regular swings between centralisation and decentralisation, driven by increased automation of the network fabric itself, as well as new use cases such as IoT. With more and more processing and autonomy devolved to the edges, old assumptions about how to manage and operate a network have to change. It no longer makes sense to try to forward all the edge alerts to a central location for analysis, but central visibility on the health of the network is more important than ever. New techniques in AI-enabled observability hold the promise of helping NOC teams deliver better experiences for users of their networks, without requiring excessive manual work or heavy impact on on Operations teams’ personal lives. Machine learning enables knowledge to be captured and made available in context when it is most useful, accelerating incident resolution and improving user experiences.]]>
The IT industry is in the middle of one of its regular swings between centralisation and decentralisation, driven by increased automation of the network fabric itself, as well as new use cases such as IoT. With more and more processing and autonomy devolved to the edges, old assumptions about how to manage and operate a network have to change. It no longer makes sense to try to forward all the edge alerts to a central location for analysis, but central visibility on the health of the network is more important than ever. New techniques in AI-enabled observability hold the promise of helping NOC teams deliver better experiences for users of their networks, without requiring excessive manual work or heavy impact on on Operations teams’ personal lives. Machine learning enables knowledge to be captured and made available in context when it is most useful, accelerating incident resolution and improving user experiences.]]> Wed, 05 Sep 2018 14:10:45 GMT /slideshow/how-ai-helps-observe-decentralised-systems/113076063 DominicWellington@slideshare.net(DominicWellington) How AI Helps Observe Decentralised Systems DominicWellington The IT industry is in the middle of one of its regular swings between centralisation and decentralisation, driven by increased automation of the network fabric itself, as well as new use cases such as IoT. With more and more processing and autonomy devolved to the edges, old assumptions about how to manage and operate a network have to change. It no longer makes sense to try to forward all the edge alerts to a central location for analysis, but central visibility on the health of the network is more important than ever. New techniques in AI-enabled observability hold the promise of helping NOC teams deliver better experiences for users of their networks, without requiring excessive manual work or heavy impact on on Operations teams’ personal lives. Machine learning enables knowledge to be captured and made available in context when it is most useful, accelerating incident resolution and improving user experiences. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/monitoramaamsfinalupdated-180905141045-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> The IT industry is in the middle of one of its regular swings between centralisation and decentralisation, driven by increased automation of the network fabric itself, as well as new use cases such as IoT. With more and more processing and autonomy devolved to the edges, old assumptions about how to manage and operate a network have to change. It no longer makes sense to try to forward all the edge alerts to a central location for analysis, but central visibility on the health of the network is more important than ever. New techniques in AI-enabled observability hold the promise of helping NOC teams deliver better experiences for users of their networks, without requiring excessive manual work or heavy impact on on Operations teams’ personal lives. Machine learning enables knowledge to be captured and made available in context when it is most useful, accelerating incident resolution and improving user experiences.
How AI Helps Observe Decentralised Systems from Dominic Wellington
]]> 332 2 https://cdn.slidesharecdn.com/ss_thumbnails/monitoramaamsfinalupdated-180905141045-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 https://cdn.slidesharecdn.com/profile-photo-DominicWellington-48x48.jpg?cb=1536156532 The best technology in the world doesn't help if users can't get it or can't use it. That's where I come in. http://findthethread.postach.io