Per #kairospulse the automated identification of issues through AI, coupled with the ability to provision changes on the fly is creating an optimal solution. This intelligent system can create a “self-flying” network. But this pilot needs to be able to monitor performance, manage capacity, optimize traffic flows, identify and resolve security concerns, and capture, analyze, and troubleshoot network anomalies with minimal human action. Much like today’s autopilot functions on state-of-the-art airplanes, the SD-WAN autopilot needs to interact between the systems of the network.
To achieve this level of automation, the SD-WAN must have:
1. Cloud-accessed metrics of links across the SD-WAN – with access to performance data across all sites, traffic flows, and links.
2. AI-powered analysis of historical data – AI-analysis and machine learning algorithms allow the system to identify the available capacity in real-time that meets latency, jitter, and packet-loss metrics for meeting SLAs.
3. Automated orchestration across the SD-WAN – the automated management and allocation of connectivity resources will surely be able to take the network beyond 99.999% availability.
To know more about why we think SD-WAN is ready to take-off in 2021, read our article published on https://www.sdwanresource.com/articles/447986-will-year-2021-put-sd-wan-autopilot.htm
