Whether you refer to it as a “three-tier” or “tree” architecture, traditional enterprise networks are based on a strict hierarchical model that includes a core, distribution, and access layer. However, advancements in connectivity options combined with advanced software-defined network (SDN) technologies are causing network architects to reimagine how networks should be built. The name of the game is efficient data flows from end-to-end. If speed and latency are of concern, leaf-spine architectures are proving to be a better choice despite their higher cost to implement.
The primary benefit of a leaf-spine architecture is that it allows data flows to take shortcuts from where data is, to where it is going. Layer 3 data flows within traditional three-tier architectures can vary depending on where the source and destination devices reside on a network. In some cases, the data flows may only have to move up one level to the distribution layer to reach a destination. In others, the flows may have to reach all the way up to the core, then back down the stack. The three-tier architecture creates differences in speed and latency which can be problematic in modern enterprises where data flows are getting larger, and applications are becoming increasingly time-sensitive.
Data flows within a leaf-spine fabric, on the other hand, take the same number of hops on the network regardless of the source and destination. The primary reason for this is that a leaf-spine architecture is fully-meshed as opposed to three-tier models that are only partially meshed. While many may think that a fully-meshed architecture creates far too many physical interconnects to manage, large 25, 40- and 100-Gbps Ethernet links considerably reduce the number of physical ports required. This is due to the increase in data can flow across single links as opposed to multiple, aggregate connections.
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The key benefit to today's leaf-spine architectures is that each link within the full-mesh can be used and load balanced in a loop-free environment. We’re talking true active-active data flows here. This is in opposition to spanning tree protocol (STP) blocking ports at layer 2 of the OSI model -- or preferred dynamic routes placed in the routing table at layer 3. The organization of this type of equal-cost, multipath design inherent in leaf-spine fabrics, is at its best when a centralized network management platform such as SDN is used. The reason for this is that SDN allows for streamlined configuration, management, and re-routing of traffic when congestion or link failures occur. In other words, SDN makes a full-mesh topology that’s intelligently load balanced a relatively simple thing to configure and manage.
In today’s enterprise environments, leaf-spine architectures achieve the most observable benefits when deployed in the data center. The reason for this is that the efficiencies in data flows are most easily found in east-west data flows as opposed to north-south flows. East-west flows are server-to-server communication within the same data center. When using distributed server architectures where resources for a specific application or service are scattered across multiple servers, shortening the communication path between servers can significantly increase application and service performance.
Additionally, thanks to advancements in WAN and public/private cloud connectivity options, inter-data center communications using leaf-spine architectures is quickly becoming a reality. Building a leaf-spine fabric between data centers or clouds allows for similar speed, performance, and redundancy no matter if flows are intra- or inter-data center. Considering that multi-cloud is becoming a “must have” strategy within medium and large enterprises, it’s great to see that leaf-spine models are a viable option.