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我们经常会有这样的运维场景#xff0c;扩容一批机器需要配置SLS日志#xff0c;对于已经配置好的SLS Logstore后#xff0c;我们只需要将机器加到机器组里。
解决方案
传统的解决方案是登录每台ecs实例并安装logtail#xff0c;执行的命令为
wget http://log…场景简介
我们经常会有这样的运维场景扩容一批机器需要配置SLS日志对于已经配置好的SLS Logstore后我们只需要将机器加到机器组里。
解决方案
传统的解决方案是登录每台ecs实例并安装logtail执行的命令为
wget http://logtail-release-{{ACS::RegionId}}.oss-{{ACS::RegionId}}-internal.aliyuncs.com/linux64/logtail.sh-O logtail.sh; chmod 755 logtail.sh; ./logtail.sh install {{ACS::RegionId}};
echo {{ LogTailUserDefinedId }} /etc/ilogtail/user_defined_id
分解下Task需要以下几步: 1.检查实例是不是Running状态 2.调用云助手CreateCommand创建上述命令 3.调用InvokeCommand执行 4.等待执行成功 5.删除模板
再转换成OOS模板并创建命名为installSlsAgent
{FormatVersion: OOS-2019-06-01,Description: Install Logtail agent on the ECS Instance.,Parameters: {InstanceId: {Type: String,Description: the Instance Id to install ilogtail,AllowedPattern: i-[A-Za-z0-9]*,MinLength: 1,MaxLength: 30},LogTailUserDefinedId: {Type: String,Description: the user defined Id write to /etc/ilogtail/user_defined_id,AllowedPattern: [A-Za-z0-9\\-_]*,MinLength: 1,MaxLength: 30},OOSAssumeRole: {Type: String,Description: The RAM role to be assumed by OOS.,Default: OOSServiceRole}},RamRole: {{OOSAssumeRole}},Tasks: [{Name: checkInstanceReady,Action: ACS::CheckFor,Description: describe instances with specified parameters, refer them here: https://help.aliyun.com/document_detail/63440.html,Properties: {API: DescribeInstances,Service: ECS,PropertySelector: Instances.Instance[].Status,DesiredValues: [Running],Parameters: {InstanceIds: [{{ InstanceId }}]}},Outputs: {InstanceIds: {ValueSelector: InstanceIdSets.InstanceIdSet[],Type: List}}},{Name: createCommand,Action: ACS::ExecuteApi,Description: create the command to install logtail agent.,Properties: {API: CreateCommand,Service: ECS,Parameters: {CommandContent: {Fn::Base64Encode: wget http://logtail-release-{{ACS::RegionId}}.oss-{{ACS::RegionId}}-internal.aliyuncs.com/linux64/logtail.sh -O logtail.sh; chmod 755 logtail.sh; ./logtail.sh install {{ACS::RegionId}}; echo {{ LogTailUserDefinedId }} /etc/ilogtail/user_defined_id},Name: oos-{{ACS::TemplateName}},Type: RunShellScript}},Outputs: {CommandId: {Type: String,ValueSelector: CommandId}}},{Name: invokeCommand,Action: ACS::ExecuteApi,Description: invoke the command to install ilogtail,Properties: {Service: ECS,API: InvokeCommand,Parameters: {CommandId: {{ createCommand.CommandId }},InstanceIds: [{{ InstanceId }}]}},Outputs: {InvokeId: {Type: String,ValueSelector: InvokeId}}},{Name: untilInvocationDone,Action: ACS::WaitFor,Description: until invocation ready,MaxAttempts: 5,Properties: {Service: ECS,API: DescribeInvocations,Parameters: {InvokeId: {{ invokeCommand.InvokeId }}},DesiredValues: [Finished],PropertySelector: Invocations.Invocation[].InvokeStatus}},{Name: describeInvocationResult,Action: ACS::ExecuteApi,Description: get the command invocation result,Properties: {Service: Ecs,API: DescribeInvocationResults,Parameters: {InvokeId: {{ invokeCommand.InvokeId }}}},Outputs: {InvocationResult: {Type: String,ValueSelector: Invocation.InvocationResults.InvocationResult[].Output},ExitCode: {Type: Number,ValueSelector: Invocation.InvocationResults.InvocationResult[].ExitCode}}},{Name: deleteCommand,Action: ACS::ExecuteAPI,Description: clean up the install ilogtail command,Properties: {Service: ECS,Risk: Normal,API: DeleteCommand,Parameters: {CommandId: {{ createCommand.CommandId }}}}}],Outputs: {InvocationResult: {Type: String,Value: {Fn::Base64Decode: {{ describeInvocationResult.InvocationResult }}}},ExitCode: {Type: String,Value: {{ describeInvocationResult.ExitCode }}}}
}
以上模板我们很好的解决了单台机器执行Install sls Agent的任务那么对于多台机器的执行怎么办呢OOS的Loop功能可以很好的解决这个问题。并且OOS支持模板嵌套执行那么我们只需要构建一个传入实例ID列表的
{FormatVersion: OOS-2019-06-01,Parameters: {InstanceIds:{Type: List,Description: the instance id list},LogTailUserDefinedId: {Type: String,Description: log tail user defined id,MinLength: 1,MaxLength: 30}},Tasks: [{Properties: {TemplateName: installSlsAgent,Parameters: {InstanceId: {{ ACS::TaskLoopItem }},LogTailUserDefinedId: {{ LogTailUserDefinedId }}}},Name: installSLSAgent,Action: ACS::Template,Outputs: {ExitCode: {ValueSelector: ExitCode,Type: Number}},Loop: {Items: {{ InstanceIds }},MaxErrors: 100,Concurrency: 10,Outputs: {}}}],Outputs: {}
}
创建一个执行 执行后看详细信息发现执行已经成功并且可以看到每个loop子task的状态 由于子task是一个嵌套执行我们点击可以看到嵌套的模板执行情况 最后到机器组查看机器状态OK说明已经执行成功 总结
以上我们介绍了如何使用资源编排OOS批量安装SLS-Agent并加入到机器组中更多场景待挖掘。目前运维编排(OOS)处于内测中欢迎试用提意见
原文链接 本文为云栖社区原创内容未经允许不得转载。
