360 Zhihui Cloud Developer
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360 Zhihui Cloud Developer

360 Zhihui Cloud is an enterprise open service platform that aims to "aggregate data value and empower an intelligent future," leveraging 360's extensive product and technology resources to deliver platform services to customers.

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360 Zhihui Cloud Developer
360 Zhihui Cloud Developer
Aug 21, 2025 · Cloud Computing

Building a Multi‑Cloud Network for Seamless Compute Scheduling

This article explains the background, design, and implementation of a multi‑cloud network that enables full‑network compute scheduling across public clouds (such as Alibaba and Huawei) and private IDC, detailing components like cloud‑dedicated lines, multi‑cloud gateways, boundary routers, routing interconnection, MTU handling, and future optimization plans.

NetworkingOverlayVPC
0 likes · 8 min read
Building a Multi‑Cloud Network for Seamless Compute Scheduling
360 Zhihui Cloud Developer
360 Zhihui Cloud Developer
Aug 14, 2025 · Cloud Computing

How Cloud Connect Network v1 Optimizations Boost Performance and What Challenges Remain

This article explains the Cloud Connect Network (CCN) background, describes the V1 optimization that switched packet forwarding to a session model, outlines the resulting issues, proposes a route‑based session list redesign, presents performance test results, and discusses future enhancements for high‑performance cloud networking.

DPDKPerformance optimizationSession Management
0 likes · 10 min read
How Cloud Connect Network v1 Optimizations Boost Performance and What Challenges Remain
360 Zhihui Cloud Developer
360 Zhihui Cloud Developer
Aug 7, 2025 · Operations

How to Accelerate OVS with Mellanox ConnectX‑6: Hardware Offload Design & Implementation

This article explains the challenges of using community OVS with Mellanox ConnectX‑6 NIC for hardware offload, details the design and implementation of Cx6 offload configuration, flow‑table match/action adaptation, Conn‑based large‑flow offload, and the coordination mechanism between hardware‑offloaded and software flow tables to achieve significant CPU savings while preserving security‑group and connection‑tracking correctness.

ConnectX-6DPDKHardware offload
0 likes · 19 min read
How to Accelerate OVS with Mellanox ConnectX‑6: Hardware Offload Design & Implementation
360 Zhihui Cloud Developer
360 Zhihui Cloud Developer
Aug 6, 2025 · Cloud Native

Step‑by‑Step Rancher Deployment for Multi‑Cluster Kubernetes Management

This guide explains the background of multi‑IDC Kubernetes clusters, why a unified platform like Rancher is needed, and provides detailed step‑by‑step instructions for single‑node, high‑availability RKE, lightweight K3s deployments, Helm installation, cert‑manager setup, ingress configuration, and best‑practice recommendations.

HA deploymentHelmKubernetes
0 likes · 12 min read
Step‑by‑Step Rancher Deployment for Multi‑Cluster Kubernetes Management
360 Zhihui Cloud Developer
360 Zhihui Cloud Developer
Jul 30, 2025 · Databases

Seamless Multi-DataCenter Database Migration: Strategies and Domain Scheduling

Learn how to execute a zero‑downtime, risk‑controlled database migration across data centers using pre‑expansion, cross‑room master switch, intelligent domain scheduling, and step‑by‑step operational guides—including VIP handling, global vs. zone‑specific domains, and post‑migration validation—to ensure continuous service and optimal resource elasticity.

Database MigrationDomain SchedulingMySQL
0 likes · 13 min read
Seamless Multi-DataCenter Database Migration: Strategies and Domain Scheduling
360 Zhihui Cloud Developer
360 Zhihui Cloud Developer
Jul 23, 2025 · Artificial Intelligence

How to Leverage TLM Platform for Comprehensive Large Model Evaluation

This guide explains how to use the TianJi Large Model (TLM) platform to create evaluation tasks, choose effectiveness or performance modes, work with built‑in datasets, interpret detailed reports, and understand the underlying metrics and judge‑model techniques for large‑model assessment.

AI metricsDatasetsPerformance Testing
0 likes · 9 min read
How to Leverage TLM Platform for Comprehensive Large Model Evaluation