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| <meta itemprop="headline" content="0.5.0版本中的监控"> |
| <meta itemprop="description" content="0.5.0版本中的监控"> |
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| <meta itemprop="dateModified" content="December 29, 2017"> |
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| <header> |
| <h1 class="page__title" itemprop="headline">0.5.0版本中的监控 |
| </h1> |
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| </header> |
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| <section class="page__content" itemprop="text"> |
| <aside class="sidebar__right"> |
| <nav class="toc"> |
| <!-- <header><h4 class="nav__title"><i class="fa fa-file-text"></i> 在本页上</h4></header> --> |
| <ul class="toc__menu" id="markdown-toc"> |
| <li><a href="#背景" id="markdown-toc-背景">背景</a></li> |
| <li><a href="#原理" id="markdown-toc-原理">原理</a></li> |
| <li><a href="#如何配置" id="markdown-toc-如何配置">如何配置</a></li> |
| <li><a href="#注意事项" id="markdown-toc-注意事项">注意事项</a></li> |
| <li><a href="#配置示例" id="markdown-toc-配置示例">配置示例</a></li> |
| <li><a href="#输出效果" id="markdown-toc-输出效果">输出效果</a></li> |
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| <p>微服务框架从0.5.0版本开始支持监控功能Metrics，请注意这个功能还处于开发（Preview）阶段，并且我们未来会做较大的调整，更多讨论请订阅ServiceComb邮件列表(dev-subscribe@servicecomb.apache.org)。</p> |
| |
| <h2 id="背景">背景</h2> |
| <p>将系统微服务化是技术潮流和趋势，但是它解决了很多问题的同时也带来了新的问题。</p> |
| |
| <p><img src="/assets/images/MonolithicArch.png" alt="MonolithicArch" /></p> |
| |
| <p>这是传统单体系统架构图，对运维人员友好，但是对开发人员不友好，系统维护升级困难。</p> |
| |
| <p><img src="/assets/images/MicroserviceArch.png" alt="MicroserviceArch" /></p> |
| |
| <p>这是微服务化后的系统架构图，经过功能切分，开发人员得到解脱，拥有了极致的CI/CD，但是运维人员却需要维护海量的微服务实例，所以如果不进行性能监控，就无法定位时延高的微服务，也无法制定弹性伸缩策略。</p> |
| |
| <h2 id="原理">原理</h2> |
| <p>0.5.0版本的Metrics会在Java Chassis的Invocation中埋入计数器，也会使用Hystrix收集TPS和Latency，同时收集微服务实例的CPU使用率和内存使用量，最终通过输出日志的方式输出收集到的Metrics数据。<br /> |
| 输入日志使用的是SLF4J作为日志框架，未与任何具体的日志框架绑定，我们会通过定向Logger名输出的方式将不同的Metrics输出为一个个独立的文件，因此需要在你的日志配置中添加对应的配置项，<a href="https://stackoverflow.com/questions/9652032/how-can-i-create-2-separate-log-files-with-one-log4j-config-file">这篇文章</a>详细说明了如果使用Log4j作为日志实现如何配置，而<a href="https://stackoverflow.com/questions/36643692/log4j2-multiple-appenders-the-same-output-is-written-to-multiple-files">这篇文章</a>则详细介绍了如果使用Log4j2作为日志需要如何配置。<br /> |
| Logger名指的是LoggerFactory.getLogger后的第一个参数：</p> |
| <div class="language-java highlighter-rouge"><div class="highlight"><pre class="highlight"><code><span class="kd">static</span> <span class="kd">final</span> <span class="nc">Logger</span> <span class="n">log</span> <span class="o">=</span> <span class="nc">LoggerFactory</span><span class="o">.</span><span class="na">getLogger</span><span class="o">(</span><span class="s">"${Logger名}"</span><span class="o">);</span> |
| <span class="n">log</span><span class="o">.</span><span class="na">trace</span><span class="o">(</span><span class="s">"${Metric数据}"</span><span class="o">);</span> |
| </code></pre></div></div> |
| <p><strong>为不影响调试，log的输出级别为trace</strong></p> |
| |
| <p>以下是我们的定向Logger名以及输出的Metrics含义：</p> |
| |
| <table> |
| <thead> |
| <tr> |
| <th style="text-align: left">Logger名</th> |
| <th style="text-align: left">Metric含义</th> |
| </tr> |
| </thead> |
| <tbody> |
| <tr> |
| <td style="text-align: left">averageServiceExecutionTime</td> |
| <td style="text-align: left">Producer端调用平均执行时间</td> |
| </tr> |
| <tr> |
| <td style="text-align: left">averageTimeInQueue</td> |
| <td style="text-align: left">Producer端调用在队列中的平均时间</td> |
| </tr> |
| <tr> |
| <td style="text-align: left">countInQueue</td> |
| <td style="text-align: left">Producer端在队列中等待的调用的数量</td> |
| </tr> |
| <tr> |
| <td style="text-align: left">cpuLoad</td> |
| <td style="text-align: left">实例CPU使用率</td> |
| </tr> |
| <tr> |
| <td style="text-align: left">cpuRunningThreads</td> |
| <td style="text-align: left">实例运行线程数量</td> |
| </tr> |
| <tr> |
| <td style="text-align: left">heapCommit，heapInit，heapMax，heapUsed</td> |
| <td style="text-align: left">内存Heap使用状况</td> |
| </tr> |
| <tr> |
| <td style="text-align: left">nonHeapCommit，nonHeapInit，nonHeapMax，nonHeapUsed</td> |
| <td style="text-align: left">内存NonHeap使用状况</td> |
| </tr> |
| <tr> |
| <td style="text-align: left">latency</td> |
| <td style="text-align: left">调用平均时延</td> |
| </tr> |
| <tr> |
| <td style="text-align: left">tps</td> |
| <td style="text-align: left">每秒调用数（Transaction per seconds）</td> |
| </tr> |
| <tr> |
| <td style="text-align: left">maxLifeTimeInQueue</td> |
| <td style="text-align: left">Producer端调用在队列中最大等待时间</td> |
| </tr> |
| <tr> |
| <td style="text-align: left">minLifeTimeInQueue</td> |
| <td style="text-align: left">Producer端调用在队列中最小等待时间</td> |
| </tr> |
| <tr> |
| <td style="text-align: left">totalRequestsPerProvider</td> |
| <td style="text-align: left">Producer总请求数</td> |
| </tr> |
| <tr> |
| <td style="text-align: left">totalRequestsPerConsumer</td> |
| <td style="text-align: left">Consumer总请求数</td> |
| </tr> |
| <tr> |
| <td style="text-align: left">totalFailedRequestsPerProvider</td> |
| <td style="text-align: left">Producer失败总请求数</td> |
| </tr> |
| <tr> |
| <td style="text-align: left">totalFailRequestsPerConsumer</td> |
| <td style="text-align: left">Consumer失败总请求数</td> |
| </tr> |
| </tbody> |
| </table> |
| |
| <h2 id="如何配置">如何配置</h2> |
| <p>请在microservice.yaml中添加如下配置项：</p> |
| <div class="language-yaml highlighter-rouge"><div class="highlight"><pre class="highlight"><code><span class="na">APPLICATION_ID</span><span class="pi">:</span> <span class="s">demo</span> |
| <span class="na">service_description</span><span class="pi">:</span> |
| <span class="na">name</span><span class="pi">:</span> <span class="s">demoService</span> |
| <span class="na">version</span><span class="pi">:</span> <span class="s">0.0.1</span> |
| |
| <span class="na">servicecomb</span><span class="pi">:</span> |
| <span class="na">metrics</span><span class="pi">:</span> |
| <span class="c1">#metrics数据采集时间（同样是写文件间隔），单位秒</span> |
| <span class="na">polltime</span><span class="pi">:</span> <span class="m">5</span> |
| <span class="c1">#如果metric是浮点数，输出结果保留几位小数，默认为1</span> |
| <span class="na">round_places</span><span class="pi">:</span> <span class="m">1</span> |
| <span class="na">file</span><span class="pi">:</span> |
| <span class="c1">#是否启用文件输出</span> |
| <span class="na">enabled</span><span class="pi">:</span> <span class="no">true</span> |
| <span class="c1">#会体现为输出内容中的plugin_id</span> |
| <span class="na">name_prefix</span><span class="pi">:</span> <span class="s">bmi.calculator</span> |
| </code></pre></div></div> |
| |
| <h2 id="注意事项">注意事项</h2> |
| <p><strong>需要在provider治理链中添加bizkeeper-provider，否则TPS和Latency无数据</strong></p> |
| <div class="language-yaml highlighter-rouge"><div class="highlight"><pre class="highlight"><code><span class="na">APPLICATION_ID</span><span class="pi">:</span> <span class="s">demo</span> |
| <span class="na">service_description</span><span class="pi">:</span> |
| <span class="na">name</span><span class="pi">:</span> <span class="s">demoService</span> |
| <span class="na">version</span><span class="pi">:</span> <span class="s">0.0.1</span> |
| <span class="na">servicecomb</span><span class="pi">:</span> |
| <span class="na">handler</span><span class="pi">:</span> |
| <span class="na">chain</span><span class="pi">:</span> |
| <span class="na">Provider</span><span class="pi">:</span> |
| <span class="na">default</span><span class="pi">:</span> <span class="s">bizkeeper-provider</span> |
| </code></pre></div></div> |
| |
| <h2 id="配置示例">配置示例</h2> |
| |
| <p>以设置averageServiceExecutionTime为例，如果是Log4j，配置如下：</p> |
| <div class="language-properties highlighter-rouge"><div class="highlight"><pre class="highlight"><code><span class="c">#指定Logger名为averageServiceExecutionTime |
| </span><span class="py">log4j.category.averageServiceExecutionTime</span><span class="p">=</span><span class="s">TRACE, averageServiceExecutionTimeLogger</span> |
| <span class="c">#定向日志，不扩散到别的Logger中 |
| </span><span class="py">log4j.additivity.averageServiceExecutionTime</span><span class="p">=</span><span class="s">false</span> |
| <span class="c">#使用RollingFileAppender |
| </span><span class="py">log4j.appender.averageServiceExecutionTimeLogger</span><span class="p">=</span><span class="s">org.apache.log4j.RollingFileAppender</span> |
| <span class="py">log4j.appender.averageServiceExecutionTimeLogger.File</span><span class="p">=</span><span class="s">/target/averageServiceExecutionTime.log</span> |
| <span class="py">log4j.appender.averageServiceExecutionTimeLogger.MaxFileSize</span><span class="p">=</span><span class="s">10MB</span> |
| <span class="py">log4j.appender.averageServiceExecutionTimeLogger.MaxBackupIndex</span><span class="p">=</span><span class="s">10</span> |
| <span class="py">log4j.appender.averageServiceExecutionTimeLogger.layout</span><span class="p">=</span><span class="s">org.apache.log4j.PatternLayout</span> |
| <span class="py">log4j.appender.averageServiceExecutionTimeLogger.layout.ConversionPattern</span><span class="p">=</span><span class="s">%m%n</span> |
| <span class="py">log4j.appender.averageServiceExecutionTimeLogger.append</span><span class="p">=</span><span class="s">true</span> |
| </code></pre></div></div> |
| |
| <p>如果是Log4j2，配置如下：</p> |
| <div class="language-xml highlighter-rouge"><div class="highlight"><pre class="highlight"><code><span class="c"><!--Log4j2配置支持全局配置--></span> |
| <span class="nt"><Properties></span> |
| <span class="nt"><Property</span> <span class="na">name=</span><span class="s">"maxFileSize"</span><span class="nt">></span>10MB<span class="nt"></Property></span> |
| <span class="nt"><Property</span> <span class="na">name=</span><span class="s">"maxFileCount"</span><span class="nt">></span>10<span class="nt"></Property></span> |
| <span class="nt"><Property</span> <span class="na">name=</span><span class="s">"filePath"</span><span class="nt">></span>/target<span class="nt"></Property></span> |
| <span class="nt"><Property</span> <span class="na">name=</span><span class="s">"filePrefix"</span><span class="nt">></span>bmi.calculator<span class="nt"></Property></span> |
| <span class="nt"></Properties></span> |
| |
| <span class="nt"><Appenders></span> |
| <span class="nt"><RollingFile</span> <span class="na">name=</span><span class="s">"averageServiceExecutionTime"</span> <span class="na">fileName=</span><span class="s">"${filePath}${filePrefix}.averageServiceExecutionTime.dat"</span> |
| <span class="na">filePattern=</span><span class="s">"${filePath}${filePrefix}.averageServiceExecutionTime-%i.dat"</span><span class="nt">></span> |
| <span class="nt"><PatternLayout</span> <span class="na">pattern=</span><span class="s">"%m%n"</span><span class="nt">/></span> |
| <span class="nt"><SizeBasedTriggeringPolicy</span> <span class="na">size=</span><span class="s">"${maxFileSize}"</span><span class="nt">/></span> |
| <span class="nt"><DefaultRolloverStrategy</span> <span class="na">max=</span><span class="s">"${maxFileCount}"</span><span class="nt">/></span> |
| <span class="nt"></RollingFile></span> |
| <span class="nt"></Appenders></span> |
| |
| <span class="nt"><Loggers></span> |
| <span class="nt"><Logger</span> <span class="na">name=</span><span class="s">"averageServiceExecutionTime"</span> <span class="na">level=</span><span class="s">"trace"</span> <span class="na">additivity=</span><span class="s">"false"</span><span class="nt">></span> |
| <span class="nt"><AppenderRef</span> <span class="na">ref=</span><span class="s">"averageServiceExecutionTime"</span><span class="nt">/></span> |
| <span class="nt"></Logger></span> |
| <span class="nt"></Loggers></span> |
| </code></pre></div></div> |
| |
| <p>剩余Metric（参见原理章节中的表格）按照上面的例子重复替换即可。</p> |
| |
| <h2 id="输出效果">输出效果</h2> |
| <p>每一个文件就是一个微服务示例级别的metrics数据输出，0.5.0版本还不支持Operation级别的Metrics输出：</p> |
| |
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