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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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Recent Articles

Latest from 360 Zhihui Cloud Developer

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360 Zhihui Cloud Developer
360 Zhihui Cloud Developer
Jun 30, 2025 · Fundamentals

Can Distributed File Systems Outperform Local NVMe? A Deep Performance Evaluation

This article explains what a Distributed File System (DFS) is, outlines key evaluation criteria such as reliability, availability, performance, scalability, and then compares HDD and SSD performance, investigates whether DFS can surpass local NVMe in large‑IO workloads, and discusses user‑side, cluster‑level, and cache‑level performance assessment methods.

CachingDistributed File SystemNVMe
0 likes · 14 min read
Can Distributed File Systems Outperform Local NVMe? A Deep Performance Evaluation
360 Zhihui Cloud Developer
360 Zhihui Cloud Developer
Jun 27, 2025 · Operations

How AI‑Powered Ops‑Nexus Transforms Intelligent Operations for 100k+ Servers

This article details the design, technology choices, functional modules, core implementation, performance optimizations, and future roadmap of Ops‑Nexus, an AI‑driven intelligent operations platform that streamlines alarm analysis, log processing, and host health checks for large‑scale monitoring environments.

AI OpsIntelligent OperationsLLM
0 likes · 12 min read
How AI‑Powered Ops‑Nexus Transforms Intelligent Operations for 100k+ Servers
360 Zhihui Cloud Developer
360 Zhihui Cloud Developer
Jun 18, 2025 · Cloud Native

Unifying GPU Management Across Kubernetes Clusters with RBAC & Virtual Control Planes

This article examines how to centrally manage GPU resources across heterogeneous Kubernetes clusters using namespace‑based RBAC isolation, virtual control‑plane solutions like vcluster, and multi‑cluster tools such as Karmada, comparing their architectures, use cases, advantages, and limitations to guide enterprise‑level deployment decisions.

Cloud NativeGPUKubernetes
0 likes · 14 min read
Unifying GPU Management Across Kubernetes Clusters with RBAC & Virtual Control Planes
360 Zhihui Cloud Developer
360 Zhihui Cloud Developer
Jun 10, 2025 · Cloud Native

Build a Custom Kubernetes Controller from Scratch: Init, Code, Docker, Helm

This step‑by‑step guide walks you through initializing a Kubernetes controller project with kubebuilder, writing the Reconcile logic, debugging and performance monitoring, building and pushing Docker images, and deploying the controller using Helm charts, while also covering metrics collection, RBAC configuration, and best practices for cloud‑native workloads.

ControllerDockerGo
0 likes · 19 min read
Build a Custom Kubernetes Controller from Scratch: Init, Code, Docker, Helm
360 Zhihui Cloud Developer
360 Zhihui Cloud Developer
Jun 9, 2025 · Frontend Development

Choosing the Right Micro‑Frontend Strategy: Qiankun vs Umi Micro vs Iframe

This article compares two micro‑frontend frameworks (Qiankun and Umi Micro) and an iframe‑based solution, detailing their principles, feature comparisons, pros and cons, integration costs, typical scenarios, common pitfalls, and improvement plans to help developers select the most suitable approach for multi‑platform product integration.

Frontend Architectureiframemicro-frontend
0 likes · 15 min read
Choosing the Right Micro‑Frontend Strategy: Qiankun vs Umi Micro vs Iframe
360 Zhihui Cloud Developer
360 Zhihui Cloud Developer
Jun 6, 2025 · Fundamentals

How Erasure Coding Cuts Storage Costs in Ozone: A Deep Dive

This article explains how Erasure Coding (EC) improves data reliability and dramatically reduces storage overhead in Ozone by leveraging hot‑cold data characteristics, intelligent tiering, dynamic EC ratios, and repair throttling, while also discussing performance trade‑offs and limitations.

Data ReliabilityObject StorageOzone
0 likes · 9 min read
How Erasure Coding Cuts Storage Costs in Ozone: A Deep Dive
360 Zhihui Cloud Developer
360 Zhihui Cloud Developer
May 15, 2025 · Cloud Native

How 360’s AI Platform Boosted GPU Utilization with Volcano Scheduler

360’s AI platform migrated its GPU clusters to a cloud‑native architecture and adopted the Volcano scheduler, achieving over 45% GPU utilization, less than 7% fragmentation, and more than 1000000 scheduled Pods, while leveraging flexible plugins, hierarchical queues, and resource pooling to optimize AI and big‑data workloads.

AI PlatformGPU schedulingKubernetes
0 likes · 13 min read
How 360’s AI Platform Boosted GPU Utilization with Volcano Scheduler