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          39 页 |
          177.09 KB
          | 1 年前 3
  tcp://emqx-headless:1883       ClientID = server0       UserName = dashboard       Secret = iSurpass2018       Salt = iSurpass       PingTimeout = 5       KeepAlive = 60       CleanSession = true       DeviceIDPrefixs tcp://emqx-headless:1883       ClientID = beehive0       UserName = dashboard       Secret = iSurpass2018       Salt = iSurpass       PingTimeout = 5       KeepAlive = 60       CleanSession = true          [MongoDB] = 30              [MQTT]       Broker = tcp://emqx-headless:1883       Secret = iSurpass2018       Salt = iSurpass       PingTimeout = 5       KeepAlive = 60       CleanSession = true              [Redis]
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          54 页 |
          1.23 MB
          | 1 年前 3
  种全新的
管理方法,而IaC借助了软件开发中的代码管理经验,通过代码描述基础设施的配
置及变更,再执行代码完成配置和变更。
K8S
OS
DB
F5
路由器
防火墙
....
Ansible
Salt
Chef
Pupet
实际上云原生平台自己也采用了IaC来管理应用,
比如K8S的Yaml,这种方式有利于隔离实现细节。
ITIL
需要具体学习不同软
硬件的知识才能管理
只需要写IaC声明性代码来管 DevOps-CICD
软件制品库
Docker引擎安装包、K8S安
装包、数据库等等
投放剧本(Yaml)
根据剧本拉取软件安装
包通过SSH向主机安装
Ansible有个缺陷,无法安装OS,Salt具备
此能力,但是对主机有侵入性
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          24 页 |
          5.96 MB
          | 6 月前 3
  auth_table WHERE user=${user} AND passwd=MD5(CONCAT(salt, ${password})) will be prepared as SELECT 1 FROM auth_db.auth_table WHERE user=? AND passwd=MD5(CONCAT(salt,?)) with value replacement of user and password authentication.jdbc.query = SELECT 1 FROM auth_table WHERE user=${user} AND␣  ˓→passwd=MD5(CONCAT(salt,${password}))  Authentication with In-memory Database  Used with auto created in-memory database,
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          206 页 |
          3.78 MB
          | 1 年前 3
  auth_table WHERE user=${user} AND passwd=MD5(CONCAT(salt, ${password})) will be prepared as SELECT 1 FROM auth_db.auth_table WHERE user=? AND passwd=MD5(CONCAT(salt,?)) with value replacement of user and password authentication.jdbc.query = SELECT 1 FROM auth_table WHERE user=${user} AND␣  ˓→passwd=MD5(CONCAT(salt,${password}))  Authentication with In-memory Database  Used with auto created in-memory database,
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          211 页 |
          3.79 MB
          | 1 年前 3
  auth_table WHERE user=${user} AND passwd=MD5(CONCAT(salt, ${password})) will be prepared as SELECT 1 FROM auth_db.auth_table WHERE user=? AND passwd=MD5(CONCAT(salt,?)) with value replacement of user and password authentication.jdbc.query = SELECT 1 FROM auth_table WHERE user=${user} AND␣  ˓→passwd=MD5(CONCAT(salt,${password}))  Authentication with In-memory Database  Used with auto created in-memory database,
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          199 页 |
          3.89 MB
          | 1 年前 3
  auth_table WHERE user=${user} AND passwd=MD5(CONCAT(salt, ${password})) will be prepared as SELECT 1 FROM auth_db.auth_table WHERE user=? AND passwd=MD5(CONCAT(salt,?)) with value replacement of user and password authentication.jdbc.query = SELECT 1 FROM auth_table WHERE user=${user} AND␣  ˓→passwd=MD5(CONCAT(salt,${password}))  Authentication with In-memory Database  Used with auto created in-memory database,
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          208 页 |
          3.78 MB
          | 1 年前 3
  auth_table WHERE user=${user} AND passwd=MD5(CONCAT(salt, ${password})) will be prepared as SELECT 1 FROM auth_db.auth_table WHERE user=? AND passwd=MD5(CONCAT(salt,?)) with value replacement of user and password authentication.jdbc.query = SELECT 1 FROM auth_table WHERE user=${user} AND␣  ˓→passwd=MD5(CONCAT(salt,${password}))  Authentication with In-memory Database  Used with auto created in-memory database,
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          211 页 |
          3.79 MB
          | 1 年前 3