LATEST INTELLIGENCE
SD-WAN ARCHITECTURES EXPLAINED
iIntroduction
As the IT infrastructure leaps from legacy and siloed to cloud-first and integrated , user expectations of subscriber-specific services are rising .
To keep the operations crisp requires seamless integration between multi-disciplinary devices & nodes , and end-to-end orchestration of the network in which they reside . This is precisely what makes the network architecture indispensable to application performance and a predictable user experience .
In fact , it wouldn ’ t be wrong to say that evolution is to biology as the architecture is to networking . You adapt , learn and improve . Think of it as a map to your digital transformation initiatives that connects a global user base , applications and cloud services . The importance of getting it right is only becoming more critical for driving higher ROI and engagement .
Network architectures can vary significantly in terms of performance , complexity , security , and efficiency . Take , for instance , the software-centric approach over the traditional WAN deployment . It deploys faster , scales immediately , reduces capital expenditure , and simplifies network operations .
Having said that , there are numerous ways of delivering these software-centric benefits , and they do not guarantee the same level of performance , cost savings , capability , or user experience .
Considering the plethora of available choices , it can be difficult as a CIO to separate the wheat from the chaff . This technology primer explores the limitations , properties and modus operandi of different network mediums , architectures and SD-WAN solutions . Further , we compare Aryaka ’ s global SD-WAN asa-Service to MPLS and other traditional SD-WAN deployment approaches . p
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