当前位置：网站首页>Hyperledger fabric super ledger CA cluster construction and use
Hyperledger fabric super ledger CA cluster construction and use
2022-07-21 03:36:00 【A fool riding the wind and waves】
Fabric CA Cluster building
Previously, we talked about how to open a CA Please refer to Turn on CA Server side , Next, let's talk about how to build CA colony
According to the previously built CA, There is a beginning CA Then let's create the middle CA, Use the following command to create an intermediate CAfabric-ca-server start -b admin:adminpw -u http://<enrollmentID>:<secret>@<parentserver>:<parentport>
After creation, you should pay attention to ： Must have a name “hf.IntermediateCA” Properties of . And the property value is “true”. Of the certificate issued CN( Or common name ) Set to enrollmentID. If in the middle CA Attempt to explicitly specify CN value , There will be mistakes .
In this way, the middle can be built CA, Many in the middle CA, You can also build CA, This forms a cluster .
边栏推荐
- 李宏毅机器学习2020---P12 Brief introduction of DL ＆ P15 Why DL
- 2D目标检测综述之神经网络篇
- [deep learning] instantiate a simple convolutional neural network using MNIST data set
- Paper learning -- resource allocation in urllc with online learning for mobileusers
- （四）PyTorch深度学习：PytTorch实现线性回归
- Dameng index management
- （2） Pytorch deep learning: gradient descent
- Non parametric statistical learning for urllc transmission rate control
- Introduction to microservice theory
- （10） Pytorch deep learning: convolutional neural network (simple residual convolutional neural network)
猜你喜欢
（4） Pytorch deep learning: pyttorch realizes linear regression
论文学习--Resource allocation for multi-user downlink MISO OFDMA-URLLC systems
论文学习---Non-parametric Statistical Learning for URLLC Transmission Rate Control
数仓基本架构--分层 各层功能
Package (.Py) files into (.Exe) files in pychart
工具-IDEA 好看的样式字体/字号/
2D目标检测综述之提议生成和特征表示篇（三）
How to use idea to make jar packages
基于弹性云服务器的昇腾AI应用开发随笔【与云原生的故事】
Basic architecture of data warehouse -- layered functions
随机推荐
基于点云的深度学习方法综述
李宏毅2020机器学习--P17 CNN ＆P 14
Deployment of Dameng DEM
Dameng AWR report extraction
（五）PyQt5系列教程：使用Pycharm对PyQt5在串口助手参数选项进行内部逻辑设计（二）
工具-IDEA 好看的样式字体/字号/
（5） Pyqt5 series tutorials: use pychart to design the internal logic of pyqt5 in the serial port assistant parameter options (II)
2D目标检测综述之提议生成和特征表示篇（三）
数据仓库产品
Realization of data warehouse technology
Basic overview of data warehouse
（五）PyTorch深度学习：Logistic回归
Calculate the sum of the factorials of the first five numbers
（十）PyTorch深度学习：卷积神经网络（ 简单的残差卷积神经网络）
（9） Pytorch deep learning: convolutional neural network (the inception module in googlenet network architecture is this convolutional neural network architecture)
达梦DTS工具使用
UITableView之性能优化
Li Hongyi 2020 machine learning notes -- P10 classification
Performance optimization of uitableview
Differences between JDBC and ODBC