Data Center Network Upgrade and Intelligent Operations Solution for a Large-Scale Internet Company

Client Industry:​ Internet & Cloud Computing (A leading video streaming and cloud gaming service provider)

Core Challenge:​ Business traffic growing over 50% quarterly, leading to bandwidth bottlenecks, increased operational complexity, and difficult fault isolation in the existing data center network. An urgent need for a high-performance, automated, and future-proof network architecture to support the next phase of business development.

Solution:​ A next-generation data center network solution based on the principles of full-stack programmability and intelligent operations.

Core Value:​ Built a high-bandwidth, low-latency, predictable network for cloud service delivery, transforming network operations from "reactive response" to "proactive insight," and providing a stable foundation for business innovation.

I. Client Background & Pain Point Analysis

The client's main business is HD video-on-demand, live streaming, and real-time cloud gaming. Their operational model places extreme demands on the data center network:

Explosive East-West Traffic:​ A microservices architecture and distributed storage cause inter-server (east-west) traffic to exceed 80% of the total. The traditional three-tier network has a high oversubscription ratio, putting immense pressure on core switches and leading to frequent congestion and latency jitter, which impacts video transcoding and game rendering quality.

Exponential Increase in Operational Complexity:​ With a scale of over 5000 servers, network device configuration, changes, and troubleshooting relied entirely on CLI and manual effort, resulting in low efficiency. A simple VLAN change could cause service disruption, and the Mean Time to Repair (MTTR) for faults averaged several hours.

Lack of Business Visibility:​ The network team could not clearly answer questions like "Which video channel's traffic experienced abnormal fluctuation and when?" Network data was completely disconnected from business metrics.

Pressure for Future Evolution:​ Plans to introduce AI recommendation clusters (requiring RoCE lossless networks) and enhanced data security isolation. The existing network equipment struggled to support these new functions in terms of both capability and performance.

II. The Solution: Next-Gen Spine-Leaf Architecture & Intelligent Operations Platform

We designed and deployed a solution centered on high-performance data center switches​ and an intelligent analytics platform.

1. Network Architecture Overhaul: Fully Flat Spine-Leaf Fabric

Leaf Layer (Access):​ Deployed high-density 25G/100G Data Center Switches, with 100G uplinks and 25G downlinks to servers, providing high-density server access and supporting VXLAN for large Layer 2 domains and flexible service segmentation.

Spine Layer (Core):​ Deployed high-throughput 400G Data Center Switches​ as the fabric's traffic core. All Leaf devices are dual-homed to the Spines via multiple 100G/400G Ethernet links (or InfiniBand Switches​ for dedicated AI clusters as needed), creating a non-blocking, low-latency CLOS network.

High-Speed Interconnect:​ Connections between Spine and Leaf switches, and between critical Leaf switches, use 400G/100G high-speed optical modules​ and single-mode fiber, ensuring sufficient backbone bandwidth.

2. Intelligent Operations & Visualization: AmpCon-DC Management Platform

Centralized Management:​ All network switches and optical modules (via DDM information) were integrated into the AmpCon-DC Intelligent Management Platform. This enabled bulk configuration deployment, unified version management, and automatic topology discovery.

Traffic Visibility & Intelligent Analytics:​ Deployed Network Packet Brokers​ for traffic tapping, combined with the analytics platform, achieving full-path visualization for both east-west and north-south traffic. It allows monitoring of traffic quality based on business tags, enabling rapid isolation of specific application flows or physical links causing latency spikes.

Predictive Maintenance:​ The platform monitors real-time working parameters of all optical modules. It successfully alerted the team to a gradual drop in received optical power due to a slightly contaminated fiber connector. Cleaning was performed beforeincreased bit error rates could affect services, preventing a potential failure.

3. Key Service Assurance: Lossless Network & Security Isolation

AI Cluster Zone:​ A separate POD was created for AI training clusters. Leaf switches enabled RoCE optimization features to build a lossless network, improving AI training task efficiency by 30%.

Multi-Tenant Isolation:​ Using VXLAN+EVPN technology, logically completely independent tenant networks were created over the physical infrastructure for different business units, achieving security isolation and independent policy enforcement.

III. Deployment Outcomes & Quantifiable Benefits

Post-deployment, the client's data center network was fundamentally transformed:

Performance & Capacity Leap:

Network backbone bandwidth increased 10x. East-west traffic latency decreased by 50% and became stable. Video transcoding job completion time was reduced by an average of 22%.

End-to-end latency jitter for cloud gaming services was reduced from a range of 20ms to under 5ms, significantly improving user experience scores.

Revolution in Operational Efficiency:

Network configuration changes were reduced from hours to minutes, with zero errors.

Mean Time to Repair (MTTR) was slashed from over 4 hours to under 15 minutes.

Predictive maintenance of optical modules reduced fiber link-related failures by 90%.

Business Empowerment:

For the first time, the network team could provide business units with a "Network Health Dashboard" and perform correlated analysis with business metrics, upgrading the IT support department's role.

TCO Optimization & Energy Efficiency:

The new switches provided higher performance while reducing power consumption by approximately 35% compared to the old equipment.

Intelligent management reduced daily operational manpower input by 70%.

IV. Client Testimonial

"This network upgrade not only solved the immediate bandwidth crisis but, more critically, equipped us with 'digital eyes' and an 'automated brain.' Our network is now an intelligent entity that can be measured, predicted, and automatically optimized. It is no longer a stumbling block for our business but an accelerator driving business innovation." — Director of Infrastructure Department, Client

V. Solution Summary

This solution addresses the high-concurrency, high-elasticity, and high-observability requirements of internet data centers. By implementing a high-performance Spine-Leaf network architecture, an end-to-end intelligent operations platform, and business-deep visualization analytics, it establishes a model of a modern data center network for cloud-native services. It not only resolves current performance and operational pain points, but its characteristics of being fully programmable and openly decoupled​ also lay a solid foundation for the continuous evolution towards SDN and AI-driven operations.