Fabric Solution

CCE CCE

  • Function Release Records
  • Common Tools
    • Command Line Scenario Examples
  • API Reference
    • Overview
    • Common Headers and Error Responses
    • General Description
  • Product Announcement
    • Announcement on the Discontinuation of CCE Standalone Clusters
    • CCE New Cluster Management Release Announcement
    • Upgrade Announcement for CCE Cluster Audit Component kube-external-auditor
    • CCE Console Upgrade Announcement
    • Announcement on Management Fees for CCE Managed Clusters
    • Container Runtime Version Release Notes
    • Announcement on the Decommissioning of CCE Image Repository
    • Kubernetes Version Release Notes
      • CCE Release of Kubernetes v1_26 History
      • CCE Kubernetes Version Update Notes
      • CCE Release of Kubernetes v1_24 History
      • CCE Release of Kubernetes v1_30 History
      • CCE Release of Kubernetes v1_22 History
      • CCE Release of Kubernetes v1_18 History
      • CCE Release of Kubernetes v1_20 History
      • CCE Release of Kubernetes v1_28 History
      • Release Notes for CCE Kubernetes 1_31 Version
      • Kubernetes Version Overview and Mechanism
    • Security Vulnerability Fix Announcement
      • Vulnerability CVE-2019-5736 Fix Announcement
      • Vulnerability CVE-2021-30465 Fix Announcement
      • CVE-2025-1097, CVE-2025-1098, and Other Vulnerabilities Fix Announcement
      • CVE-2020-14386 Vulnerability Fix Announcement
      • Impact Statement on runc Security Issue (CVE-2024-21626)
  • Service Level Agreement (SLA)
    • CCE Service Level Agreement SLA (V1_0)
  • Typical Practices
    • Pod Anomaly Troubleshooting
    • Adding CGroup V2 Node
    • Common Linux System Configuration Parameters Description
    • Encrypting etcd Data Using KMS
    • Configuring Container Network Parameters Using CNI
    • CCE - Public Network Access Practice
    • Practice of using private images in CCE clusters
    • Unified Access for Virtual Machines and Container Services via CCE Ingress
    • User Guide for Custom CNI Plugins
    • CCE Cluster Network Description and Planning
    • Cross-Cloud Application Migration to Baidu CCE Using Velero
    • CCE Resource Recommender User Documentation
    • Continuous Deployment with Jenkins in CCE Cluster
    • CCE Best Practice-Guestbook Setup
    • CCE Best Practice-Container Network Mode Selection
    • CCE Usage Checklist
    • VPC-ENI Mode Cluster Public Network Access Practice
    • CCE Container Runtime Selection
    • Cloud-native AI
      • Elastic and Fault-Tolerant Training Using CCE AITraining Operator
      • Deploy the TensorFlow Serving inference service
      • Best Practice for GPU Virtualization with Optimal Isolation
  • FAQs
    • How do business applications use load balancer
    • Using kubectl on Windows
    • Cluster management FAQs
    • Common Questions Overview
    • Auto scaling FAQs
    • Create a simple service via kubectl
  • Operation guide
    • Prerequisites for use
    • Identity and access management
    • Permission Management
      • Configure IAM Tag Permission Policy
      • Permission Overview
      • Configure IAM Custom Permission Policy
      • Configure Predefined RBAC Permission Policy
      • Configure IAM Predefined Permission Policy
      • Configure Cluster OIDC Authentication
    • Configuration Management
      • Configmap Management
      • Secret Management
    • Traffic access
      • BLB ingress annotation description
      • Use K8S_Service via CCE
      • Use K8S_Ingress via CCE
      • Implement Canary Release with CCE Based on Nginx-Ingress
      • Create CCE_Ingress via YAML
      • LoadBalancer Service Annotation Description
      • Service Reuses Existing Load Balancer BLB
      • Use Direct Pod Mode LoadBalancer Service
      • NGINX Ingress Configuration Reference
      • Create LoadBalancer_Service via YAML
      • Use NGINX Ingress
    • Virtual Node
      • Configuring BCIPod
      • Configuring bci-profile
      • Managing virtual nodes
    • Node management
      • Add a node
      • Managing Taints
      • Setting Node Blocking
      • Setting GPU Memory Sharing
      • Remove a node
      • Customizing Kubelet Parameters
      • Kubelet Container Monitor Read-Only Port Risk Warning
      • Managing Node Tag
      • Drain node
    • Component Management
      • CCE CSI CDS Plugin Description
      • CCE Fluid Description
      • CCE CSI PFS L2 Plugin
      • CCE Calico Felix Description
      • CCE Ingress Controller Description
      • CCE QoS Agent Description
      • CCE GPU Manager Description
      • CCE Ingress NGINX Controller Description
      • CCE P2P Accelerator Description
      • CCE Virtual Kubelet Component
      • CoreDNS Description
      • CCE Log Operator Description
      • CCE Node Remedier Description
      • CCE Descheduler Description
      • CCE Dynamic Scheduling Plugin Description
      • Kube Scheduler Documentation
      • CCE NPU Manager Description
      • CCE CronHPA Controller Description
      • CCE LB Controller Description
      • Kube ApiServer Description
      • CCE Backup Controller Description
      • CCE Network Plugin Description
      • CCE CSI PFS Plugin Description
      • CCE Credential Controller Description
      • CCE Deep Learning Frameworks Operator Description
      • Component Overview
      • CCE Image Accelerate Description
      • CCE CSI BOS Plugin Description
      • CCE Onepilot Description
      • Description of Kube Controller Manager
      • CCE_Hybrid_Manager Description
      • CCE NodeLocal DNSCache Description
      • CCE Node Problem Detector Description
      • CCE Ascend Mindx DL Description
      • CCE RDMA Device Plugin Description
      • CCE AI Job Scheduler Description
    • Image registry
      • Image Registry Basic Operations
      • Using Container Image to Build Services
    • Helm Management
      • Helm Template
      • Helm Instance
    • Cluster management
      • Upgrade Cluster Kubernetes Version
      • CCE Node CDS Dilatation
      • Managed Cluster Usage Instructions
      • Create cluster
      • CCE Supports GPUSharing Cluster
      • View Cluster
      • Connect to Cluster via kubectl
      • CCE Security Group
      • CCE Node Resource Reservation Instructions
      • Operate Cluster
      • Cluster Snapshot
    • Serverless Cluster
      • Product overview
      • Using Service in Serverless Cluster
      • Creating a Serverless Cluster
    • Storage Management
      • Using Cloud File System
      • Overview
      • Using Parallel File System PFS
      • Using RapidFS
      • Using Object Storage BOS
      • Using Parallel File System PFS L2
      • Using Local Storage
      • Using Cloud Disk CDS
    • Inspection and Diagnosis
      • Cluster Inspection
      • GPU Runtime Environment Check
      • Fault Diagnosis
    • Cloud-native AI
      • Cloud-Native AI Overview
      • AI Monitoring Dashboard
        • Connecting to a Prometheus Instance and Starting a Job
        • NVIDIA Chip Resource Observation
          • AI Job Scheduler component
          • GPU node resources
          • GPU workload resources
          • GPUManager component
          • GPU resource pool overview
        • Ascend Chip Resource Observation
          • Ascend resource pool overview
          • Ascend node resource
          • Ascend workload resource
      • Task Management
        • View Task Information
        • Create TensorFlow Task
        • Example of RDMA Distributed Training Based on NCCL
        • Create PaddlePaddle Task
        • Create AI Training Task
        • Delete task
        • Create PyTorch Task
        • Create Mxnet Task
      • Queue Management
        • Modify Queue
        • Create Queue
        • Usage Instructions for Logical Queues and Physical Queues
        • Queue deletion
      • Dataset Management
        • Create Dataset
        • Delete dataset
        • View Dataset
        • Operate Dataset
      • AI Acceleration Kit
        • AIAK Introduction
        • Using AIAK-Training PyTorch Edition
        • Deploying Distributed Training Tasks Using AIAK-Training
        • Accelerating Inference Business Using AIAK-Inference
      • GPU Virtualization
        • GPU Exclusive and Shared Usage Instructions
        • Image Build Precautions in Shared GPU Scenarios
        • Instructions for Multi-GPU Usage in Single-GPU Containers
        • GPU Virtualization Adaptation Table
        • GPU Online and Offline Mixed Usage Instructions
        • MPS Best Practices & Precautions
        • Precautions for Disabling Node Video Memory Sharing
    • Elastic Scaling
      • Container Timing Horizontal Scaling (CronHPA)
      • Container Horizontal Scaling (HPA)
      • Implementing Second-Level Elastic Scaling with cce-autoscaling-placeholder
      • CCE Cluster Node Auto-Scaling
    • Network Management
      • How to Continue Dilatation When Container Network Segment Space Is Exhausted (VPC-ENI Mode)
      • Container Access to External Services in CCE Clusters
      • CCE supports dual-stack networks of IPv4 and IPv6
      • Using NetworkPolicy Network Policy
      • Traffic Forwarding Configuration for Containers in Peering Connections Scenarios
      • CCE IP Masquerade Agent User Guide
      • Creating VPC-ENI Mode Cluster
      • How to Continue Dilatation When Container Network Segment Space Is Exhausted (VPC Network Mode)
      • Using NetworkPolicy in CCE Clusters
      • Network Orchestration
        • Container Network QoS Management
        • VPC-ENI Specified Subnet IP Allocation (Container Network v2)
        • Cluster Pod Subnet Topology Distribution (Container Network v2)
      • Network Connectivity
        • Container network accesses the public network via NAT gateway
      • Network Maintenance
        • Common Error Code Table for CCE Container Network
      • DNS
        • CoreDNS Component Manual Dilatation Guide
        • DNS Troubleshooting Guide
        • DNS Principle Overview
    • Namespace Management
      • Set Limit Range
      • Set Resource Quota
      • Basic Namespace Operations
    • Workload
      • CronJob Management
      • Set Workload Auto-Scaling
      • Deployment Management
      • Job Management
      • View the Pod
      • StatefulSet Management
      • Password-Free Pull of Container Image
      • Create Workload Using Private Image
      • DaemonSet Management
    • Monitor Logs
      • Monitor Cluster with Prometheus
      • CCE Event Center
      • Cluster Service Profiling
      • CCE Cluster Anomaly Event Alerts
      • Java Application Monitor
      • Cluster Audit Dashboard
      • Logging
      • Cluster Audit
      • Log Center
        • Configure Collection Rules Using CRD
        • View Cluster Control Plane Logs
        • View Business Logs
        • Log Overview
        • Configure Collection Rules in Cloud Container Engine Console
    • Application management
      • Overview
      • Secret
      • Configuration dictionary
      • Deployment
      • Service
      • Pod
    • NodeGroup Management
      • NodeGroup Management
      • NodeGroup Node Fault Detection and Self-Healing
      • Configuring Scaling Policies
      • NodeGroup Introduction
      • Adding Existing External Nodes
      • Custom NodeGroup Kubelet Configuration
      • Adding Alternative Models
      • Dilatation NodeGroup
    • Backup Center
      • Restore Management
      • Backup Overview
      • Backup Management
      • Backup repository
  • Quick Start
    • Quick Deployment of Nginx Application
    • CCE Container Engine Usage Process Overview
  • Product pricing
    • Product pricing
  • Product Description
    • Application scenarios
    • Introduction
    • Usage restrictions
    • Features
    • Advantages
    • Core concepts
  • Solution-Fabric
    • Fabric Solution
  • Development Guide
    • EFK Log Collection System Deployment Guide
    • Using Network Policy in CCE Cluster
    • Creating a LoadBalancer-Type Service
    • Prometheus Monitoring System Deployment Guide
    • kubectl Management Configuration
  • API_V2 Reference
    • Overview
    • Common Headers and Error Responses
    • Cluster Related Interfaces
    • Instance Related Interfaces
    • Service domain
    • General Description
    • Kubeconfig Related Interfaces
    • RBAC Related Interfaces
    • Autoscaler Related Interfaces
    • Network Related Interfaces
    • InstanceGroup Related Interfaces
    • Appendix
    • Component management-related APIs
    • Package adaptation-related APIs
    • Task Related Interfaces
  • Solution-Xchain
    • Hyperchain Solution
  • SDK
    • Go-SDK
      • Overview
      • NodeGroup Management
      • Initialization
      • Install the SDK Package
      • Cluster management
      • Node management
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CCE CCE

  • Function Release Records
  • Common Tools
    • Command Line Scenario Examples
  • API Reference
    • Overview
    • Common Headers and Error Responses
    • General Description
  • Product Announcement
    • Announcement on the Discontinuation of CCE Standalone Clusters
    • CCE New Cluster Management Release Announcement
    • Upgrade Announcement for CCE Cluster Audit Component kube-external-auditor
    • CCE Console Upgrade Announcement
    • Announcement on Management Fees for CCE Managed Clusters
    • Container Runtime Version Release Notes
    • Announcement on the Decommissioning of CCE Image Repository
    • Kubernetes Version Release Notes
      • CCE Release of Kubernetes v1_26 History
      • CCE Kubernetes Version Update Notes
      • CCE Release of Kubernetes v1_24 History
      • CCE Release of Kubernetes v1_30 History
      • CCE Release of Kubernetes v1_22 History
      • CCE Release of Kubernetes v1_18 History
      • CCE Release of Kubernetes v1_20 History
      • CCE Release of Kubernetes v1_28 History
      • Release Notes for CCE Kubernetes 1_31 Version
      • Kubernetes Version Overview and Mechanism
    • Security Vulnerability Fix Announcement
      • Vulnerability CVE-2019-5736 Fix Announcement
      • Vulnerability CVE-2021-30465 Fix Announcement
      • CVE-2025-1097, CVE-2025-1098, and Other Vulnerabilities Fix Announcement
      • CVE-2020-14386 Vulnerability Fix Announcement
      • Impact Statement on runc Security Issue (CVE-2024-21626)
  • Service Level Agreement (SLA)
    • CCE Service Level Agreement SLA (V1_0)
  • Typical Practices
    • Pod Anomaly Troubleshooting
    • Adding CGroup V2 Node
    • Common Linux System Configuration Parameters Description
    • Encrypting etcd Data Using KMS
    • Configuring Container Network Parameters Using CNI
    • CCE - Public Network Access Practice
    • Practice of using private images in CCE clusters
    • Unified Access for Virtual Machines and Container Services via CCE Ingress
    • User Guide for Custom CNI Plugins
    • CCE Cluster Network Description and Planning
    • Cross-Cloud Application Migration to Baidu CCE Using Velero
    • CCE Resource Recommender User Documentation
    • Continuous Deployment with Jenkins in CCE Cluster
    • CCE Best Practice-Guestbook Setup
    • CCE Best Practice-Container Network Mode Selection
    • CCE Usage Checklist
    • VPC-ENI Mode Cluster Public Network Access Practice
    • CCE Container Runtime Selection
    • Cloud-native AI
      • Elastic and Fault-Tolerant Training Using CCE AITraining Operator
      • Deploy the TensorFlow Serving inference service
      • Best Practice for GPU Virtualization with Optimal Isolation
  • FAQs
    • How do business applications use load balancer
    • Using kubectl on Windows
    • Cluster management FAQs
    • Common Questions Overview
    • Auto scaling FAQs
    • Create a simple service via kubectl
  • Operation guide
    • Prerequisites for use
    • Identity and access management
    • Permission Management
      • Configure IAM Tag Permission Policy
      • Permission Overview
      • Configure IAM Custom Permission Policy
      • Configure Predefined RBAC Permission Policy
      • Configure IAM Predefined Permission Policy
      • Configure Cluster OIDC Authentication
    • Configuration Management
      • Configmap Management
      • Secret Management
    • Traffic access
      • BLB ingress annotation description
      • Use K8S_Service via CCE
      • Use K8S_Ingress via CCE
      • Implement Canary Release with CCE Based on Nginx-Ingress
      • Create CCE_Ingress via YAML
      • LoadBalancer Service Annotation Description
      • Service Reuses Existing Load Balancer BLB
      • Use Direct Pod Mode LoadBalancer Service
      • NGINX Ingress Configuration Reference
      • Create LoadBalancer_Service via YAML
      • Use NGINX Ingress
    • Virtual Node
      • Configuring BCIPod
      • Configuring bci-profile
      • Managing virtual nodes
    • Node management
      • Add a node
      • Managing Taints
      • Setting Node Blocking
      • Setting GPU Memory Sharing
      • Remove a node
      • Customizing Kubelet Parameters
      • Kubelet Container Monitor Read-Only Port Risk Warning
      • Managing Node Tag
      • Drain node
    • Component Management
      • CCE CSI CDS Plugin Description
      • CCE Fluid Description
      • CCE CSI PFS L2 Plugin
      • CCE Calico Felix Description
      • CCE Ingress Controller Description
      • CCE QoS Agent Description
      • CCE GPU Manager Description
      • CCE Ingress NGINX Controller Description
      • CCE P2P Accelerator Description
      • CCE Virtual Kubelet Component
      • CoreDNS Description
      • CCE Log Operator Description
      • CCE Node Remedier Description
      • CCE Descheduler Description
      • CCE Dynamic Scheduling Plugin Description
      • Kube Scheduler Documentation
      • CCE NPU Manager Description
      • CCE CronHPA Controller Description
      • CCE LB Controller Description
      • Kube ApiServer Description
      • CCE Backup Controller Description
      • CCE Network Plugin Description
      • CCE CSI PFS Plugin Description
      • CCE Credential Controller Description
      • CCE Deep Learning Frameworks Operator Description
      • Component Overview
      • CCE Image Accelerate Description
      • CCE CSI BOS Plugin Description
      • CCE Onepilot Description
      • Description of Kube Controller Manager
      • CCE_Hybrid_Manager Description
      • CCE NodeLocal DNSCache Description
      • CCE Node Problem Detector Description
      • CCE Ascend Mindx DL Description
      • CCE RDMA Device Plugin Description
      • CCE AI Job Scheduler Description
    • Image registry
      • Image Registry Basic Operations
      • Using Container Image to Build Services
    • Helm Management
      • Helm Template
      • Helm Instance
    • Cluster management
      • Upgrade Cluster Kubernetes Version
      • CCE Node CDS Dilatation
      • Managed Cluster Usage Instructions
      • Create cluster
      • CCE Supports GPUSharing Cluster
      • View Cluster
      • Connect to Cluster via kubectl
      • CCE Security Group
      • CCE Node Resource Reservation Instructions
      • Operate Cluster
      • Cluster Snapshot
    • Serverless Cluster
      • Product overview
      • Using Service in Serverless Cluster
      • Creating a Serverless Cluster
    • Storage Management
      • Using Cloud File System
      • Overview
      • Using Parallel File System PFS
      • Using RapidFS
      • Using Object Storage BOS
      • Using Parallel File System PFS L2
      • Using Local Storage
      • Using Cloud Disk CDS
    • Inspection and Diagnosis
      • Cluster Inspection
      • GPU Runtime Environment Check
      • Fault Diagnosis
    • Cloud-native AI
      • Cloud-Native AI Overview
      • AI Monitoring Dashboard
        • Connecting to a Prometheus Instance and Starting a Job
        • NVIDIA Chip Resource Observation
          • AI Job Scheduler component
          • GPU node resources
          • GPU workload resources
          • GPUManager component
          • GPU resource pool overview
        • Ascend Chip Resource Observation
          • Ascend resource pool overview
          • Ascend node resource
          • Ascend workload resource
      • Task Management
        • View Task Information
        • Create TensorFlow Task
        • Example of RDMA Distributed Training Based on NCCL
        • Create PaddlePaddle Task
        • Create AI Training Task
        • Delete task
        • Create PyTorch Task
        • Create Mxnet Task
      • Queue Management
        • Modify Queue
        • Create Queue
        • Usage Instructions for Logical Queues and Physical Queues
        • Queue deletion
      • Dataset Management
        • Create Dataset
        • Delete dataset
        • View Dataset
        • Operate Dataset
      • AI Acceleration Kit
        • AIAK Introduction
        • Using AIAK-Training PyTorch Edition
        • Deploying Distributed Training Tasks Using AIAK-Training
        • Accelerating Inference Business Using AIAK-Inference
      • GPU Virtualization
        • GPU Exclusive and Shared Usage Instructions
        • Image Build Precautions in Shared GPU Scenarios
        • Instructions for Multi-GPU Usage in Single-GPU Containers
        • GPU Virtualization Adaptation Table
        • GPU Online and Offline Mixed Usage Instructions
        • MPS Best Practices & Precautions
        • Precautions for Disabling Node Video Memory Sharing
    • Elastic Scaling
      • Container Timing Horizontal Scaling (CronHPA)
      • Container Horizontal Scaling (HPA)
      • Implementing Second-Level Elastic Scaling with cce-autoscaling-placeholder
      • CCE Cluster Node Auto-Scaling
    • Network Management
      • How to Continue Dilatation When Container Network Segment Space Is Exhausted (VPC-ENI Mode)
      • Container Access to External Services in CCE Clusters
      • CCE supports dual-stack networks of IPv4 and IPv6
      • Using NetworkPolicy Network Policy
      • Traffic Forwarding Configuration for Containers in Peering Connections Scenarios
      • CCE IP Masquerade Agent User Guide
      • Creating VPC-ENI Mode Cluster
      • How to Continue Dilatation When Container Network Segment Space Is Exhausted (VPC Network Mode)
      • Using NetworkPolicy in CCE Clusters
      • Network Orchestration
        • Container Network QoS Management
        • VPC-ENI Specified Subnet IP Allocation (Container Network v2)
        • Cluster Pod Subnet Topology Distribution (Container Network v2)
      • Network Connectivity
        • Container network accesses the public network via NAT gateway
      • Network Maintenance
        • Common Error Code Table for CCE Container Network
      • DNS
        • CoreDNS Component Manual Dilatation Guide
        • DNS Troubleshooting Guide
        • DNS Principle Overview
    • Namespace Management
      • Set Limit Range
      • Set Resource Quota
      • Basic Namespace Operations
    • Workload
      • CronJob Management
      • Set Workload Auto-Scaling
      • Deployment Management
      • Job Management
      • View the Pod
      • StatefulSet Management
      • Password-Free Pull of Container Image
      • Create Workload Using Private Image
      • DaemonSet Management
    • Monitor Logs
      • Monitor Cluster with Prometheus
      • CCE Event Center
      • Cluster Service Profiling
      • CCE Cluster Anomaly Event Alerts
      • Java Application Monitor
      • Cluster Audit Dashboard
      • Logging
      • Cluster Audit
      • Log Center
        • Configure Collection Rules Using CRD
        • View Cluster Control Plane Logs
        • View Business Logs
        • Log Overview
        • Configure Collection Rules in Cloud Container Engine Console
    • Application management
      • Overview
      • Secret
      • Configuration dictionary
      • Deployment
      • Service
      • Pod
    • NodeGroup Management
      • NodeGroup Management
      • NodeGroup Node Fault Detection and Self-Healing
      • Configuring Scaling Policies
      • NodeGroup Introduction
      • Adding Existing External Nodes
      • Custom NodeGroup Kubelet Configuration
      • Adding Alternative Models
      • Dilatation NodeGroup
    • Backup Center
      • Restore Management
      • Backup Overview
      • Backup Management
      • Backup repository
  • Quick Start
    • Quick Deployment of Nginx Application
    • CCE Container Engine Usage Process Overview
  • Product pricing
    • Product pricing
  • Product Description
    • Application scenarios
    • Introduction
    • Usage restrictions
    • Features
    • Advantages
    • Core concepts
  • Solution-Fabric
    • Fabric Solution
  • Development Guide
    • EFK Log Collection System Deployment Guide
    • Using Network Policy in CCE Cluster
    • Creating a LoadBalancer-Type Service
    • Prometheus Monitoring System Deployment Guide
    • kubectl Management Configuration
  • API_V2 Reference
    • Overview
    • Common Headers and Error Responses
    • Cluster Related Interfaces
    • Instance Related Interfaces
    • Service domain
    • General Description
    • Kubeconfig Related Interfaces
    • RBAC Related Interfaces
    • Autoscaler Related Interfaces
    • Network Related Interfaces
    • InstanceGroup Related Interfaces
    • Appendix
    • Component management-related APIs
    • Package adaptation-related APIs
    • Task Related Interfaces
  • Solution-Xchain
    • Hyperchain Solution
  • SDK
    • Go-SDK
      • Overview
      • NodeGroup Management
      • Initialization
      • Install the SDK Package
      • Cluster management
      • Node management
  • Document center
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  • Fabric Solution
Table of contents on this page
  • Table of Contents
  • Solution description
  • Introduction to concept
  • Solution positioning
  • Solution architecture
  • Solution advantages
  • Solution application scenarios
  • Operation guide
  • Environment preparation
  • Environment configuration
  • Configure smart contracts
  • View Dapp configuration
  • Access Dapp

Fabric Solution

Updated at:2025-10-27

Table of Contents

  • [Solution description](#Solution description) - [Concept description](#Concept Description) - [Solution positioning](#Solution positioning) - [Solution architecture](#Solution architecture) - [Solution advantages](#Solution advantages) - [Solution application scenarios](#Solution application scenarios)
  • [Guide](#Operation guide) - [Environment preparation](#Environment preparation) - [Environment configuration](#Environment configuration) - [Configure smart contracts](#Configure smart contracts) - [View Dapp configuration](#View Dapp configuration) - [Access Dapp](#Access Dapp)

Solution description

Introduction to concept

Hyperledger fabric concepts It is a modular blockchain framework that utilizes unique distributed ledger implementation technology to provide enterprise-level network security, scalability, confidentiality and performance.

Distributed ledger It records all transactions occurring in the fabric network and is jointly maintained by decentralized nodes.

Chain code (ChainCode) It is an application program developed by users based on service logic, supporting multiple languages such as Go, Node.js and Java, and runs in the fabric network. The content of the ledger can be modified by executing chain code through transactions.

Transaction A transaction is a chain code call initiated by a node, and the resulting outcome is recorded in the ledger.

Channel It is a private "subnet" between two or more specific network members, used for private or confidential transactions. Channels can be established between designated organizations as needed. The chain codes and transactions in the channel are only visible to nodes in the organization that joined the channel. The same node can join multiple channels and maintain a ledger for each channel's content.

Organization (Org) It refers to various entities participating in the blockchain service network, such as government agencies, enterprises and non-governmental organizations. An organization can have multiple nodes.

Orderer node (Orderer) It provides consensus services for sorting and packaging transactions in blockchain networks.

Node (Peer) It hosts ledgers and smart contracts, forming the physical structure of the fabric network.

Solution positioning

Baidu AI Cloud has a comprehensive strategy in the blockchain sector. We offer extensive technical capabilities covering applications, service implementations, and a unified cloud framework, along with abundant experience in alliance chain, public chain, and private chain use cases. Utilizing Baidu’s proprietary blockchain 3.0 technology framework, Baidu Xuper Chain delivers advanced, one-stop blockchain technology and product capabilities to users and partners.

Baidu AI Cloud blockchain solution positioning:

A cloud-native blockchain "empowerment center" integrates advanced cloud technologies with blockchain frameworks, offering features like containerized development models, one-click deployment, secure cloud application hosting, graphical operation interfaces, extensive OpenAPIs, pluggable blockchain scenario parameters, and customizable, optimized blockchain components. It empowers partners by leveraging Baidu’s superior blockchain practices to advance the industry's ecosystem growth and development.

Baidu AI Cloud blockchain solutions are available in two categories: technology solutions and industry solutions.

The BaaS solution leverages an advanced "cloud + chain" technical architecture. It supports one-click deployment, operation, and maintenance of mainstream blockchain technologies such as Baidu Xuper Chain, Ethereum, and Fabric on the cloud, and offers cloud-based development, deployment, operation, maintenance, and template services for smart contracts and DApps, thus lowering the technical barriers for blockchain users.

The Fabric solution focuses on creating trusted alliances for blockchains and suits scenarios like permissioned blockchains, trusted organization collaboration between enterprises, and financial-grade compliant blockchains.

Solutions for the Internet of Things, financial transactions, and asset securitization (ABS) combine industry-specific features with tailored blockchain capabilities. Baidu AI Cloud integrates its extensive practical experience in blockchain commercialization and technical expertise to deliver solutions and product services that empower industry-specific blockchain scenarios. These templates expedite blockchain implementation across niche sectors while fostering collaboration with partners to develop benchmark "blockchain + X" practices in the industry.

Baidu AI Cloud continues to make advancements in areas such as three-dimensional chain network architecture, single-chain performance, multi-chain trusted interaction, consensus mechanism optimization, secure blockchain sandbox environments, node security, blockchain+AI, and blockchain+Internet of Things. These efforts aim to build a high-performance, stable, and technologically sophisticated blockchain platform.

Solution architecture

For the overall architecture of the blockchain solution, please click for details: https://cloud.baidu.com/solution/blockchain.html

Among them, the architecture of the fabric solution is as follows: Image

Solution advantages

Advantages of the fabric solution:

  • One-click deployment
  • Elastic hosting of application containers
  • Cloud SLA
  • Unified architecture for public and private chains
  • High performance
  • Modular
  • Permissioned blockchain organizations

Solution application scenarios

application scenarios of the fabric solution:

  • Multi-party trusted alliances

The fabric network features permissioned access, modular technical architecture and optional consensus mechanisms, which are particularly suitable for enterprise-level blockchain application scenarios. For example, multiple enterprises can build an underlying trust mechanism through the fabric network to form a multi-enterprise trusted alliance, where multiple parties jointly supervise or participate in the construction and circulation of the service system. For example, blockchain asset securitization service scenarios involving joint supervision by multiple participants are suitable for construction using the fabric alliance chain solution.

Operation guide

This document will introduce how to build your fabric blockchain distributed application (Dapp) on Baidu AI Cloud container clusters, with the specific steps as follows:

Step I: [Environment Preparation](#Environment preparation); it mainly creates the operating environment for blockchain applications - container clusters.

Step II: [Environment Configuration](#Environment configuration); it mainly deploys the blockchain application platform - fabric.

Step III: [Configure Smart Contracts](#Configure smart contracts); it mainly configures the blockchain smart contract ChainCode.

Step IV: [Configure Dapp Parameters](#Configure Dapp Parameters); it mainly configures the parameters of the distributed application Dapp.

Step V: [Access Dapp](#Access Dapp); it is mainly for users to access the Dapp.

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Environment preparation

Apply for blockchain solution permissions

  • Sign in to the official website of Baidu AI Cloud Blockchain Solution.
  • Click Apply Now to enter Application for the Use of Blockchain Solutions, fill in the application as required, and then click Submit.

Warm Reminder: After receiving your application, we will proceed to the review phase. If your application is approved, a dedicated representative will contact you using the provided contact details to discuss your requirements further. If you have been notified that the usage permission for the blockchain solution has been activated, you can log in to the console interface, navigate to Computing - Cloud Container Engine (CCE) - Solutions - Fabric Solution, and start creating your application.

Create a container cluster

Create the operating environment for blockchain applications - container clusters. For specific operation steps, please refer to Create Cluster

Environment configuration

Configure fabric parameters

After the container cluster is created successfully, start deploying the fabric application platform. Parameters support one-click configuration. Users only need to select and configure parameters as prompted on the fabric deployment page: Image

  • Select a cluster: Choose the cluster designated for deploying the fabric application platform. If no cluster has been created yet, click "Create Now" to redirect to the container cluster creation page.
  • Network name: Customize your fabric network name to effectively identify your network details.
  • Network type: Choose between a private chain or an alliance chain. For private chains, institutional nodes (peers) remain unexposed to the internet via EIP. For alliance chains, institutional nodes (peers) are accessible on the internet via EIP.
  • Channel name: Personalize your channel name; the channel serves as a ledger whose status is maintained by all participating members.
  • Organization name: Define your organization name; this organization will engage in the channel of the fabric network for chain code management and transaction approvals.
  • Number of orderer nodes: Specify the number of orderer nodes. The maximum count depends on the chosen cluster's node capacity.
  • Number of peer nodes: Select the number of peer nodes; the maximum value is the maximum number of nodes in the selected cluster. After completing the above steps, users can choose Deploy Directly to deploy the fabric network, or select Next to enter the smart contract configuration page.

Configure smart contracts

Users can select and configure smart contracts on the current page: Image

  • Smart contract name: You can set a custom name for the smart contract. The system will also generate a default ID for the contract. The contract name can contain up to 40 characters.
  • Configure endorsement policy: Choose an endorsement policy. A strict policy requires every organization's approval, while a flexible policy allows selecting specific organizations for endorsements.
  • Initial parameters: Define the initial parameters for the smart contract.

After completing the steps, you can either select Deploy Directly to implement the changes immediately or click Next to set up your Dapp configuration.

Note: Deploying directly from this page will both deploy the fabric network and the smart contract ChainCode.

View Dapp configuration

Users can view the Dapp configuration on the current page: Image

Once the above steps are completed, users can choose Deploy Directly to deploy and proceed to build a Dapp application.

Access Dapp

After the user’s fabric network is deployed successfully, they can click Download Network, Contract and Application Parameters. Image

After verifying the pop - up window verification code, users can download the Dapp information. Image

The downloaded csv file contains the information about the current fabric network. Image

According to the Dapp’s IP and Port in the csv file, enter IP:Port in the browser’s address bar, and then we can access the deployed Dapp: Image

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