AWS Step Functions VS
Adds Support for Nested Workflows
宽带服务
Docker Proxy for daemon and client
DOCKER DEAMON PROXY
- systemd level
/etc/systemd/system/docker.service.d/https-proxy.conf
[Service]
Environment="http_proxy=http://127.0.0.1:8123" "https_proxy=https://127.0.0.1:8123" "NO_PROXY=registry-1.docker.io"
sudo systemctl daemon-reload
sudo systemctl restart docker
- service level
/etc/default/docker
export http_proxy="http://127.0.0.1:3128/"
- daemon level
/etc/docker/daemon
DOCKER CLIENT PROXY
~/.docker/config.json
"proxies":{
"default":{}
}
免费使用公有云服务
[TOC]
AWS领先的设计理念和强大的技术生态
使你身陷其中，学习你要用它，开发你要
用它，上线还要用它。 一年下来项目还没有
正式商用，已经有十几万的研发费用。
今天向你推荐 localstack（与openstack啥关系？私有云+公有云），
让你使用AWS免费，至少在项目POC或开发测试阶段免费。
有了它， 你不用再焦急的等待老板审批公有云的
计算，存储，数据库资源开发申请。
是不是这个项目听起来很激动？
那如何使用localstack呢？
安装localstack localstack是一个非常活跃的正在快速成长中的项目，
建议通过源代码安装
下载源代码
git clone [email protected]:localstack/localstack.git git fetch --all git checkout tags/v0.10.3 -b v0.10.3 启用需要使用的AWS服务
修改配置文件，启用你需要使用的AWS服务:ec2,s3,iot,kafka等。
注意服务的名字必须来自服务名字列表， 否则不识别
启用服务就是修改下边的配置文件
localstack\docker-compose.yml
SERVICES=${SERVICES-ec2,ecs,stepfunctions,iam,lambda,dynamodb,apigateway,s3,sns} DATA_DIR=${DATA_DIR-/tmp/localstack/data } volumes: - "${TMPDIR:-d:/tmp/localstack}:/tmp/localstack" make sure driver D is shared in docker desktop daemon
docker-compose up localstack_1 | Starting mock S3 (http port 4572)... localstack_1 | Starting mock SNS (http port 4575).
Opc Notes
工业物联网OSI参考模型
软件接口 OPC
应用层 ModBus
数据链路层 CAN，ProfiBus
物理层 RS232，RS485
OPC服务器
OPC SERVER = OPC驱动器
OPC
简单来说，OPC是一套标准，其目的是把PLC特定的协议（如Modbus，Profibus等）抽象成为标准化的接口，作为“中间人”的角色把通用的OPC“读写”请求转换成具体的设备协议来与HMI/SCADA系统直接对接
When the standard was first released in 1996, its purpose was to abstract PLC specific protocols (such as Modbus, Profibus, etc.) into a standardized interface allowing HMI/SCADA systems to interface with a “middle-man” who would convert generic-OPC read/write requests into device-specific requests and vice-versa.
Matrix Homeserver
注册用户 /etc/matrix-synapse/homeserver.yaml
registration_shared_secret: sudo systemctl restart matrix-synapse 配置代理 sudo openssl req -x509 -nodes -days 365 -newkey rsa:2048 -keyout /etc/ssl/private/nginx-selfsigned.key -out /etc/ssl/certs/nginx-selfsigned.crt server { listen 443 ssl http2; listen [::]:443 ssl http2; # For the federation port listen 8448 ssl http2 default_server; listen [::]:8448 ssl http2 default_server; ssl_certificate /etc/ssl/certs/nginx-selfsigned.crt; ssl_certificate_key /etc/ssl/private/nginx-selfsigned.key; location ~* ^(\/_matrix|\/_synapse\/client) { proxy_pass http://localhost:8008; proxy_set_header X-Forwarded-For $remote_addr; proxy_set_header X-Forwarded-Proto $scheme; proxy_set_header Host $host; # Nginx by default only allows file uploads up to 1M in size # Increase client_max_body_size to match max_upload_size defined in homeserver.
Minio配置为B2存储网关
配置
下载B2 TLS安全证书
openssl s_client -showcerts -connect api.backblazeb2.com:443 > b2.crt mv b2.crt .minio/certs/CAs/ set MINIO_ACCESS_KEY=B2_keyID set MINIO_SECRET_KEY=B2_applicationKey minio gateway b2
Vue Deployed in Non-Root Nginx Location
deploy VUE app under myweb context path
server { listen 80; server_name 127.0.0.1; #listen 443 ssl; location /ibms/api/ { proxy_pass http://127.0.0.1:8080/; #proxy_set_header Host $http_host; add_header Cache-Control no-cache; add_header Pragma no-cache; add_header Expires 0; proxy_connect_timeout 200s; proxy_send_timeout 200s; proxy_read_timeout 200s; proxy_set_header X-Real-IP $remote_addr; proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for; proxy_set_header sn $http_sn; #405 重新代理 error_page 405 =200 http://$host$request_uri; } location /ibms { root /var/www/html; add_header Cache-Control no-cache; add_header Pragma no-cache; add_header Expires 0; #try_files $uri $uri/ @router; try_files $uri $uri/ /ibms/index.
Wireless and Wired Connection Both at a Same Time in Windows
give the wireless network higher priority than the wired WIRELESS CONNECTION > "Internet Protocol Version 4 (TCP/IPv4) Properties" > advanced TCP/IP setting > Automatic metric Uncheck it. That will enable a text box named “Interface metric”. Fill in a number. It needs to be larger than 1 (reserved for loopback) and the number(30) you choose for the wired network.
WIRED CONNECTION > "Internet Protocol Version 4 (TCP/IPv4) Properties" > advanced TCP/IP setting > Automatic metric Again Uncheck “Automatic metric”, and fill in a number in the “Interface metric” box.
Windows Application Information Service
AppInfo 启动类型必须是自动或手动，
否则，msinstaller， services.msc， regedit
等都会报错：
The Service command cannot be started, either because it is disabled or because it has no enabled devices associated with it AppInfo svchost.exe Facilitates the running of interactive applications with additional administrative privileges. Users will be unable to launch applications with the additional administrative privileges they may require to perform desired user tasks. These tools include regedit. Although safe to disable, this is not recommended since you need to boot into safe mode to enable again.
微服务认证和授权（MAA）指南
微服务认证和授权有很多方案，
这里比较各种主流方案的优缺点，
为你的业务系统选择MAA方案提供指南
方案 优点 缺点 分布式会话管理 简单，成熟，服务器统一管理 扩展性比较差 客户令牌 单点登录 API网关令牌管理 第三方应用授权 SSL/TLS 双向认证 方案 分布式会话管理 会话信息由服务器存储
实现方式：
Sticky session Session replication Centralized session storage 客户令牌 令牌由客户持有
JWT: 头，负载和签名
头
{ "typ": "JWT", "alg": "HS256" } 负载
Linux删除Python3.5
之前一直用pycharm,今天把code升级到1.3.2的时候， 突然提示我安装python扩展，决定试试。 结果发现python的解释器设置有问题， 总是设置为系统的解释器， 而虚拟环境的解释器不起作用。
apt remove --purge python3.5
reboot
结果ubuntu桌面启动不了。好多应用程序例如chrome，virtualbox都消失了， 造成了很大的麻烦。
Ctrl+Alt+F1进入虚拟控制台登录
apt install python3.5
apt install ubuntu-desktop
重新安装chrome和virtualbox
cd /etc/apt/sources.list.d
sudo mv google-chrome.list.save google-chrome.list
apt update
apt install google-chrome-stable
K8s Pod Command Override
K8S POD Command Override OCR
docker Entrypoint vs k8s command docker k8s entry ENTRYPOINT command arguments CMD args k8s command and args override the default OCR Entrypoint and Cmd
Dockerfile
FROM alpine:3.8 RUN apk add --no-cache curl ethtool && rm -rf /var/cache/apk/* CMD ["--version"] ENTRYPOINT ["curl"] cmd-override-pod.yaml
apiVersion: v1 kind: Pod metadata: name: command-override labels: purpose: override-command spec: containers: - name: command-override-container image: bigo/curl:v1 command: ["curl"] args: ["--help"] restartPolicy: Never docker run -it bigo/curl:v1 curl 7.
K8s Logging
Node-level Logging System component logs RUN IN CONTAINER(Y/N) Systemd(W/WO) LOGGER LOCATION kubelet and container runtime W/O /var/log kubelet and container runtime W journald scheduler Y /var/log kube-proxy Y /var/log /var/lib/kubelet/pods/<PodUID>/
/var/log/pods/<PodUID>/<container_name>
ls -l /var/log/pods/<PodUID>/<container_name>/ lrwxrwxrwx 1 root root 165 3月 30 06:52 0.log -> /var/lib/docker/containers/e74eafc4b3f0cfe2e4e0462c93101244414eb3048732f409c29cc54527b4a021/e74eafc4b3f0cfe2e4e0462c93101244414eb3048732f409c29cc54527b4a021-json.log Cluster-level logging Use a node-level logging agent that runs on every node.
BIM Notes
建筑工程施工图 具有图纸齐全、表达准确、要求具体的特点。它是设计工作的最后成果，是进行工程施工、编制施工图预算和施工组织设计的依据，也是进行施工技术管理的重要技术文件。一套完整的建筑工程施工图，一般包括建筑施工图、结构施工图、给排水、采暖通风施工图及电气施工图等专业图纸，也可将给排水、采暖通风和电气施工图合在一起统称设备施工图。
建筑施工图 简称“建施”。它一般由设计部门的建筑专业人员进行设计绘图。建筑施工图主要反映一个工程的总体布局，表明建筑物的外部形状、内部布置情况以及建筑构造、装修、材料、施工要求等，用来作为施工定位放线、内外装饰做法的依据，同时也是结构施工图和设备施工图的依据。建筑施工图包括设备说明和建筑总平面图、建筑平面图、立体图、剖面图等基本图纸以及墙身剖面图、楼梯、门窗、台阶、散水、浴厕等详图和材料做法说明等等。
结构施工图 结构施工图指的是关于承重构件的布置，使用的材料，形状，大小，及内部构造的工程图样，是承重构件以及其他受力构件施工的依据。
结构施工图包含以下内容： 结构总说明、基础布置图、承台配筋图、地梁布置图、各层柱布置图、各层柱配筋图、各层梁配筋图、屋面梁配筋图、楼梯屋面梁配筋图、各层板配筋图、屋面板配筋图、楼梯大样、节点大样
BIM BIM software is used by individuals, businesses and government agencies who plan, design, construct, operate and maintain buildings and diverse physical infrastructures, such as water, refuse, electricity, gas, communication utilities, roads, railways, bridges, ports and tunnels.S
BIM设计， BIM施工
CAD建模范式对比 - 直接建模 vs. 参数化建模 参数化设计涉及工程师逐个构建 3D 几何图形。 2D 草图变成 3D 特征， 并适当地应用约束和关系以符合设计师的意图。
导出和导入模型会删除其特征历史并将其转换为所谓的“哑几何体”。
参数化建模的另一个弱点是，随着特征数量的增加，更新模型所需的计算量也会增加。“如果历史树中有一个具有 1000 个特征的零件，当你编辑该树中的最后一个功能时，它会非常快速地进行，”Siemens PLM 主流工程副总裁 Dan Staples 解释道。 “但是当你编辑该树中的第一个特征时，可能需要很长时间，因为它必须在到达第 1,001 个特征之前计算其间的所有 1,000 个特征。
K8S CORE DEVELOPMENT
git clone [email protected]:wubigo/kubernetes.git
git remote add upstream https://github.com/kubernetes/kubernetes.git
git fetch --all
git checkout tags/v1.13.3 -b v1.13.3
git branch -av|grep 1.13
* fix-1.13 4807084f79 Add/Update CHANGELOG-1.13.md for v1.13.2.
remotes/origin/release-1.13 4807084f79 Add/Update CHANGELOG-1.13.md for v1.13.2.
管理POD
func (kl *Kubelet) syncPod(o syncPodOptions) error {
通过SDK操纵公有云
基于腾讯云Go SDK开发
下载开发工具集
go get -u github.com/tencentcloud/tencentcloud-sdk-go
为集群准备CVM
从本地开发集群K8S读取安全凭证secretId和secretKey配置信息， 然后把安全凭证传送给SDK客户端
secretId, secretKey:= K8SClient.Secrets("namespace=tencent").Get("cloud-pass")
credential := CloudCommon.NewCredential("secretId", "secretKey")
client, _ := cvm.NewClient(credential, regions.Beijing)
request := cvm.NewAllocateHostsRequest()
request.FromJsonString(K8SClient.Configs("namespace=tencent").Get("K8S-TENCENT-PROD"))
response, err := client.AllocateHosts(request)
通过ANSIBLE在CVM搭建K8S集群
Ansible.Hosts().Get(response.ToJsonString())
调用ANSIBLE开始在CVM部署K8S集群
mozilla crowdsources the largest dataset of human voices
转录语音数据集
mozilla crowdsources the largest dataset of human voices available for use, including 18 different languages, adding up to almost 1,400 hours of recorded voice data from more than 42,000 contributors