ZhiQing Cloud: AI-Driven Intelligent Cloud Platform

Product Overview

Zhiqing Cloud is an intelligent cloud computing platform designed for the enterprise market, aimed at solving core issues enterprises face during digital transformation, such as complex IT infrastructure, low resource utilization, and high operational costs. By deeply integrating containerization, microservices, and AI-driven operations technology, Zhiqing Cloud provides enterprises with a one-stop cloud-native application management and intelligent operations solution, significantly improving business delivery efficiency and system stability. Its unique value proposition lies in "AI-driven operations," embedding AI capabilities throughout the entire process of resource scheduling, fault prediction, and root cause analysis, helping enterprises shift from reactive responses to proactive prevention. Zhiqing Cloud is positioned as the core production environment for large and medium-sized enterprises and high-growth tech companies, serving as the next-generation cloud infrastructure that supports the stable and efficient operation of critical business systems.

Core Features

Centered around intelligent operations and cloud-native management, Zhiqing Cloud offers six core features that comprehensively cover key areas such as resource scheduling, monitoring, delivery, management, self-healing, and security:

• Intelligent Auto Scaling: Automatically adjusts computing resources based on real-time business load and AI prediction models, ensuring stable operation during traffic peaks and reducing costs during lulls, maximizing resource utilization.
• Full-Stack Observability: Integrates metrics, logs, and traces into a unified monitoring view with intelligent alerts, helping operations teams quickly identify performance bottlenecks and root causes of anomalies.
• One-Stop CI/CD Pipeline: Built-in continuous integration and continuous deployment toolchain supports automatic build, testing, and canary releases after code submission, reducing application delivery cycles from days to minutes.
• Multi-Cluster Unified Management: Supports unified management of Kubernetes clusters across data centers, multi-cloud, and edge nodes, enabling centralized resource and application scheduling and policy distribution.
• Intelligent Fault Self-Healing: Uses AI algorithms to automatically identify abnormal patterns and trigger predefined remediation strategies (e.g., restart, scaling, traffic switching), completing fault recovery before user awareness.
• Security and Compliance Center: Provides role-based access control, key management, image scanning, and audit logs, meeting compliance requirements for industries such as finance and healthcare.

Technical Specifications

The following are key technical specifications for Zhiqing Cloud, covering cluster scale, performance, compatibility, storage, networking, security, and AI capabilities, ensuring stability and efficiency in ultra-large-scale scenarios:

Category	Parameter	Specification/Description
Cluster Scale	Max Nodes	5000+ nodes per cluster
	Max Pods	150,000+ Pods per cluster
Performance Metrics	API Response Latency	P99 < 100ms
	Scheduling Throughput	1000+ Pods scheduled per second
Compatibility	Container Runtimes	Docker, containerd, CRI-O
	Kubernetes Versions	Supports v1.24 to v1.28
	Operating Systems	CentOS 7/8, Ubuntu 20.04/22.04, Kylin V10
Storage	Persistent Storage	Supports CSI standard, compatible with Ceph, NFS, cloud disks
Networking	Network Plugins	Calico, Flannel, Cilium
Security	Authentication & Authorization	RBAC, OIDC, LDAP integration
	Image Registry	Built-in Harbor, supports image vulnerability scanning
AI Capabilities	Model Inference	Built-in fault prediction and root cause analysis models
	Data Sources	Supports Prometheus, Elasticsearch, Jaeger

Application Scenarios

Leveraging its powerful AI operations and cloud-native capabilities, Zhiqing Cloud can be widely applied in the following typical scenarios, helping enterprises address real business challenges:

• Microservices Architecture Transformation: When migrating from monolithic to microservices, enterprises face challenges such as service governance, configuration management, and canary releases. Zhiqing Cloud provides complete service mesh and API gateway capabilities, supporting blue-green deployments and canary releases to ensure smooth business transitions.
• E-Commerce Promotional Elastic Scaling: E-commerce platforms experience traffic surges of tens of times during events like "Double 11," where traditional scaling methods are slow and costly. Zhiqing Cloud's intelligent auto scaling automatically adjusts capacity based on real-time traffic, ensuring system stability while reducing computing costs by over 50%.
• Financial Core System High Availability: Financial institutions like banks and securities firms require system availability of 99.99% or higher. Zhiqing Cloud achieves minute-level failover through multi-zone deployment, cross-cluster disaster recovery, and intelligent fault self-healing, meeting regulatory compliance requirements.
• IoT Edge Computing: Manufacturing enterprises need to process massive device data at the factory edge while collaborating with the cloud. Zhiqing Cloud supports edge node management, deploying AI inference models to the edge for millisecond-level response times and reducing network bandwidth consumption.
• DevOps and Agile Delivery: R&D teams aim to shorten iteration cycles and improve delivery quality. Zhiqing Cloud's one-stop CI/CD pipeline integrates code scanning, automated testing, and security compliance checks, enabling full automation from code submission to production deployment.

Competitive Advantages

Compared to traditional cloud platforms, Zhiqing Cloud offers significant advantages in intelligent operations, elastic performance, full-stack capabilities, domestic ecosystem compatibility, and high-availability architecture:

• AI-Driven Intelligent Operations: Unlike traditional platforms that only provide monitoring and alerts, Zhiqing Cloud's built-in AI models proactively predict faults and automatically remediate them, reducing Mean Time to Repair (MTTR) by 70%.
• Extreme Elasticity and Performance: Supports 5000+ nodes and 150,000+ Pods per cluster, with scheduling throughput of 1000+ Pods per second, meeting the needs of ultra-large-scale business scenarios.
• Out-of-the-Box Full-Stack Capabilities: Provides an integrated solution from infrastructure management to application delivery and security compliance, eliminating the need to integrate multiple third-party tools and reducing operational complexity.
• Domestic Ecosystem Compatibility: Fully adapts to domestic operating systems (e.g., Kylin V10) and hardware, meeting information technology application innovation (Xinchuang) requirements, helping government and enterprise customers achieve self-control.
• Financial-Grade High-Availability Architecture: Supports unified management across data centers, multi-cloud, and edge nodes, offering a 99.99% SLA guarantee to meet critical business continuity requirements.

Target Customers

Zhiqing Cloud primarily targets the following customer segments to help them achieve cloud-native transformation and intelligent operations upgrades:

• Enterprise Size: Large and medium-sized enterprises (500+ employees) and high-growth tech companies with IT teams of 20+ members.
• Target Industries: Finance (banking, securities, insurance), e-commerce and retail, manufacturing (industrial internet), internet and technology, government and public utilities.
• Key Roles: CTO, VP of Technology, Operations Director, Architect, DevOps Lead.
• Typical Customer Profile: Enterprises currently undergoing or planning containerization and microservices transformation; organizations facing system stability challenges and seeking to improve operational efficiency; government and enterprise customers with domestic substitution or Xinchuang compliance needs.
• Benchmark Cases: [To be added] Has served multiple leading financial institutions and large e-commerce platforms, helping customers achieve a 3x improvement in business delivery efficiency and a 40% reduction in infrastructure costs.