decisions under uncertainty, and then have the courage to face the consequences. In the plan-driven model, quality was easier to understand.  We specified what the system should do, and then measured quality that, either.  We are constantly making quality decisions, especially in a Continuous Delivery model, as we decide whether the quality of each individual feature is adequate for the feature to be deployed that we have not yet learned to take advantage of, caught up as we are in the contractor-control model of IT. Shadow IT is what happens when the IT organization is unable to meet the needs of a part of

typically structured as:1. Standardized Model – where routine and systems govern everything; including strict compliance with budget and schedule 2. Experimental Model – every day every exercise and new piece known vulnerabilities and consolidate multiple versions of the same library iii. 2014 Verizon PCI Data Breach Investigation Report – studies over 85K cardholder breaches. 10 vulnerabilities accounted environments with infrastructure-as-code and auto- scaling. Must create alternatives methods of providing the data to show auditors controls are in place and operating. 1. Work closely to identify the evidence needed

problem-solving. ii. Telemetry – An automated communications process by which measurements and other data are collected at remote points and are subsequently transmitted to receiving equipment for monitoring development. Operations don’t just monitor what’s up or down. ii. Modern Monitoring architecture 1. Data Collection at business logic, application, & environments layer a. Events, logs, & metrics b. Common 1. Authentication/authorization decisions 2. System and data access 3. System and application changes, especially privileged changes 4. Data changes (CRUD) 5. Invalid input, possible malicious injections

right” 2. Type 2 – System of Engagement – “Doing it fast” ii. DevOps helps reject the bi-modal IT model and lets you do both c. START WITH THE MOST SYMPATHETIC AND INNOVATION GROUPS i. Chrossing the Chasm environment and ensuring service levels are met v. Infosec – team responsible for securing systems and data vi. Release Managers – the people responsible for coordinating the production deployment processes PLANNING HORIZONS SHORT i. Act like a startup, strive to generate measurable improvement or actionable data within weeks f. RESERVE 20% OF CYCLES FOR NON-FUNCTIONAL REQUIREMENTS AND REDUCING TECHNICAL DEBT

appears to offer predictability, control, and efficiency, the key values of the contractor-control model. But it doesn’t. Requirements: Requirements are a way of controlling the development team by constraining Characteristics of an Agile governance and oversight model: Before we dive into an Agile governance and oversight model, let’s think about what characteristics such a model should have in order to both take advantage

emulation of common infrastructure components to achieve consistent and predictable resultConceptual Model DevSecOps LifecycleDevSecOps Pillars DevSecOps EcosystemDevSecOps Software Factory DevSecOps MVP correlated and centralized logs, container security, east/west traffic management, a zero-trust model, a whitelist, Role-Based Access Control (RBAC), continuous monitoring, signature-based continuous

sql/13/ 现在想修改为/data_pg/ 目录 ★PG-13版本 # systemctl stop postgresql-13 #先停止服务 # mkdir /data_pg # chown postgres:postgres /data_pg # vi /var/lib/pgsql/13/data/postgresql.conf #pg-13版本，添加或修改以下配 置 data_directory = '/data_pg/data/' # mv /var/lib/pgsql/13/* /data_pg/ #将原数据目录下所有内容移动到新 数据目录下 # vi /usr/lib/systemd/system/postgresql-13.service #pg-13版本，修改systemd服 #pg-13版本，修改systemd服 务文件，指定数据目录 #修改这行：Environment=PGDATA=/var/lib/pgsql/13/data/ 改为新的路径，如 下： Environment=PGDATA=/data_pg/data/ # systemctl daemon-reload # systemctl restart postgresql-13 ★PG-10版本

串导入解析为字典数据 with open("data.json", "w", encoding="utf8") as fp: json.dump(dictx, fp, indent=4) # 将字典数据格 式化为json字符串后写入到文件中 with open("data.json", "r", encoding="utf8") as fp: data = json.load(fp) load(fp) # 读取文件中的json字符串 后生成字典数据（文件中只可有一个json对象） print(data) ★getpass模块 import getpass cusername = getpass.getuser() # 获取当前用户 名 passwd = getpass.getpass("请输入密码：") # 获取用户输入密 "application/json;charset=utf8" } mydata = "dddd" response = requests.post(myurl, headers=myheaders, data=mydata, verify=False) response.encoding = "utf-8" # 指定返回数据的文本编码 ★selenium（浏览器url操作） #

docker # docker info ★配置docker服务使用systemd去管理（以及信任本地镜像仓库） # vi /etc/docker/daemon.json { "data-root": "/docker_data", "registry-mirrors": [ "h�ps://cof-lee.com:5443" ], "insecure-registries": [ "cof-lee /etc/docker/daemon.json <data-root": "/docker_data", "registry-mirrors": [ "h�ps://cof-lee.com:5443" ], "insecure-registries": [ "cof-lee cm-name2.yaml <data: key1: value1 key2: value2 key3: value3 EOF # kubectl apply -f cm-name2.yaml #创建

'h�ps://gitlab.cof-lee.com' #设置数据存放路径，默认 /var/opt/gitlab/git-data/repositories git_data_dirs({ "default" => { "path" => "/git-data" } }) #设置备份存放路径及备份默认保存时间，默认 /var/opt/gitlab/backups/ gitlab cof-lee.com.crt" nginx['ssl_cer�ficate_key'] = "/etc/gitlab/gitlab.cof-lee.com.key" EOF # mkdir /git-data # mkdir /git-backup #将证书及密钥文件复制到/etc/gitlab目录下 # gitlab-ctl reconfigure #重