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
本文作者：巴梨
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