SD-WAN, the acronym for the Software-defined wide-area networking, and AIOps are both considered to be the red-hot technologies. SD-WANs would be increasing application availability, reducing costs as well as in some cases, improve performance. AIOps would be infusing machine learning into IT operations to increase the level of automation. This would be reducing the errors and would be enabling businesses to make changes at digital speeds. Most think of these as separate technologies, but the two would be on a collision course and might give rise to what they call the AI-WAN. For having more details regarding the SD-WAN, you could go for the training courses offered at the SPOTO Club.
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AI-WAN might transform network operations
So how would be the evolution of SD-WAN into AI-WAN by changing network management as well as operations? Administrators could be able to utilize their time to focus on strategic initiatives instead of fixing problems. Another data point from ZK Research would be that 90% of the time could be taken for fixing up a question that is spent identifying the source. Now that applications would be residing in the cloud and running on mobile devices, identifying the cause of a problem would get even harder. AI-WANs would have the ability to spot even the smallest anomaly, even if it hasn’t yet begun to impact the business.
Security is considered to be another concern. Everything from mobile devices to IoT (Internet of Things) to cloud computing would be creating multiple new entry points as well as shifting resources to the network edge. This would be putting businesses at a security risk, as they would be struggling to respond to changes quickly.
Businesses could be missing security gaps, which would be created by users, with hundreds of SaaS (software-as-a-service) apps being utilized at the same time without IT’s knowledge. Older networking technologies couldn’t support SaaS as well as cloud services, while SD-WANs could. But merely deploying an SD-WAN isn’t going to be enough for protecting a network.
Increasingly, vendors would be bundling AI-based analytics with SD-WAN solutions for boosting their network security. Such solutions utilize AI to analyze how certain events would impact the network, application performance, and security. They would then be creating intelligent recommendations for any network changes, like an unauthorized utilization of SaaS apps.
AI-WAN would be existing today and would be exploding in the future.
AI-WAN might seem to be futuristic, but there would be several vendors that would be delivering it or in the process of bringing solutions to the market. Managed service provider Masergy, for instance, recently would be introducing AIOps for SD-WAN for providing autonomous networking and has the most completing offering.
Open Systems, another managed service provider, would be snapped up cloud-based Sqooba for adding AIOps to its robust network as well as security services. Keeping with the M & A theme, VMware would have recently acquired AIOps vendor Nyansa and rolled it into its VeloCloud SD-WAN group. That move would be giving the VMware similar capabilities for Aruba Networks, which would be initially applied AI to WiFi troubleshooting but would be now bringing it to its SD-Branch offering.
Cisco would be another networking vendor with an AIOps story, although it’s trying to apply it network-wide, not just with the WAN. Over time, they would be expecting every SD-WAN or SASE vendor to bring AIOps into the fold, changing the focus away from connectivity to automated operations.
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