Applications no longer live in one place. Modern enterprise workloads span private data centers, colocation facilities, public cloud, SaaS platforms, and AI infrastructure. The network connecting those environments must provide the performance, resiliency, segmentation, visibility, and operational consistency the applications require.
WEI designs data center switching and routing architectures ranging from traditional environments to modern leaf-spine and software-defined fabrics. Technologies such as EVPN/VXLAN and intent-based networking are designed to simplify policy, segmentation, scale, and workload mobility while reducing the manual configuration associated with device-by-device operations.
The architecture should match the workload and operational model. That’s why modernization is about choosing an architecture that improves enterprise-level scale, resiliency, automation, segmentation, and day-to-day operations.
Data center interconnect connects workloads and services across facilities while balancing bandwidth, latency, resiliency, routing, segmentation, and failure-domain requirements. WEI can help design DCI architectures for active environments, migrations, disaster recovery, colocation, and hybrid-cloud connectivity.
Hybrid cloud networking extends enterprise connectivity beyond the physical data center. It connects applications and infrastructure across data centers, colocation facilities, public clouds, SaaS platforms, and specialized cloud services.
WEI helps customers build resilient, flexible connectivity across these environments using direct cloud connectivity, cloud on-ramps, virtual routing, cloud-native networking, and Network as a Service platforms. Rather than accumulating one-off connections as new services are adopted, organizations can create a repeatable connectivity model that considers routing, segmentation, security, performance, visibility, resiliency, cost, and operational ownership together.
On-demand connectivity and NaaS platforms can make that architecture more flexible by allowing organizations to provision and adapt connectivity between data centers, colocation facilities, hyperscalers, and other cloud services as requirements change.
AI is adding another important dimension to hybrid and multicloud networking. Most organizations are consuming AI through SaaS and cloud-delivered services, while organizations developing, tuning, or running their own models may consume GPU infrastructure from hyperscalers or specialized AI cloud providers, often called neoclouds.
In both cases, the network becomes the path to AI services and compute wherever they reside. WEI helps customers evaluate the bandwidth, latency, path diversity, security, routing, visibility, and resiliency required to reliably connect users, applications, and enterprise environments to these services. Flexible cloud on-ramps and NaaS can become particularly valuable as organizations consume services across multiple AI and cloud providers.
For customers that do deploy accelerated compute on premises, WEI can also design and evaluate high-performance data center fabrics to support the throughput, latency, resiliency, and east-west traffic requirements of those workloads.
As applications span physical and cloud environments, segmentation needs to follow the workload and business requirement. WEI can combine network, firewall, cloud-native, and workload controls to create practical segmentation boundaries while preserving the connectivity applications require.