For years, SD-WAN edge appliances have helped organizations optimize their WANs by balancing performance, traffic priorities, limited MPLS bandwidth, and cost. This balancing act, however, requires an edge appliance at each end of the traffic flow to prioritize, cache, deduplicate, and compress traffic.
With increasing use of cloud-based infrastructure, requiring an edge appliance in the cloud becomes a major headache. New SD-WAN as a Service (SDWaaS) solutions represent the next phase of WAN optimization and SD-WANs, providing SD-WAN as a cloud service that eliminates the need for costly MPLS bandwidth, and by extension, WAN optimization appliances.
With their efficient routing and low packet loss, MPLS services have been the mainstay of enterprise WANs. Great for remote desktops and other loss-sensitive applications, MPLS services charge a premium for bandwidth. But as the bandwidth requirements for applications have grown and more bandwidth consumed by often non-critical Internet services, bandwidth costs have become an increasingly pressing issue for many enterprises.
The big problem for MPLS services has been two-fold. One, the capacity or the rate of data that could be sent in a session across a global network. The interaction of distance and packet loss conspired to undermine throughput even when locations are connected by access services with large amounts of bandwidth.
WAN optimization devices provided some relief. Through the use of compression and data deduplication, WAN optimization devices made better use of the data that could be sent. And with application-layer proxying and caching, WAN optimization devices were able to minimize the effects of latency, which also helped improve TCP capacity and the user experience
But as the WAN has changed there’s been increasingly less of a need for these capabilities. Content delivery networks (CDNs) and the distributed, geographically-redundant nature of major SaaS platforms have continued to push the data closer to the user. With the data closer, there are fewer hops and thus less latency, reducing the need for the latency-reduction techniques of WAN optimization. Coupled with the use of large, inexpensive broadband pipes, available capacity grew, reducing the need for deduplication and compression.
The first-generation SD-WANs, implemented by edge appliances, overcome MPLS bandwidth problems by offloading MPLS services using broadband Internet access services. Routing non-critical application traffic across the Internet saved on MPLS bandwidth. Overall, the SD-WAN provided to be a great step forward in maximizing WAN usage.
But SD-WAN appliances ran into their own problems. As they required physical infrastructure to be installed on the network edge, SD-WAN appliances where inherently limited to improving only the performance and cost-effectiveness of traffic which stays entirely within the WAN.
Workflows which depend on cloud-based tools (e.g. Dropbox, Azure, Office 365, Google Apps) bump up against the reality that their data won’t be prioritized above anyone else’s. And if cloud applications are to be optimized, appliances also need to be installed in the cloud, something that’s often difficult if not impossible.
The first-generation SD-WANs were designed to augment MPLS but they could never replace the service. They still relied on MPLS to carry latency- and loss-sensitive applications, particularly across global networks. Coupled with the fact that SD-WAN required devices to be installed in or near the cloud resources, it’s easy to see why SD-WAN has had to evolve.
The next-generation of SD-WAN, SD-WAN as a service (SDWaaS), do away with the dependency on a private MPLS backbone and provide a cloud-ready solution.
SDWaaS solutions eliminate the need to backhaul WAN traffic to a central datacenter, thereby solving the problems like trombone routing and saturated MPLS links. Since the network edge effectively moves to the cloud, SD-WAN platforms reduce the complexity, risks, and cost for enterprise networks – all while achieving even better WAN optimization.
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