{"id":34616,"date":"2025-03-11T14:25:04","date_gmt":"2025-03-11T06:25:04","guid":{"rendered":"https:\/\/www.yunshan.net\/blog\/?p=34616"},"modified":"2025-03-11T14:25:04","modified_gmt":"2025-03-11T06:25:04","slug":"opentelemetry-%e5%a6%82%e4%bd%95%e5%ae%9e%e7%8e%b0%e6%95%b0%e6%8d%ae%e5%8e%bb%e9%87%8d%ef%bc%9f","status":"publish","type":"post","link":"https:\/\/www.yunshan.net\/blog\/archives\/34616.html","title":{"rendered":"OpenTelemetry \u5982\u4f55\u5b9e\u73b0\u6570\u636e\u53bb\u91cd\uff1f"},"content":{"rendered":"<p style=\"text-align: center;\">\n<p><img decoding=\"async\" src=\"https:\/\/www.yunshan.net\/blog\/wp-content\/uploads\/2025\/03\/5vdNhC7.jpg\" alt=\"OpenTelemetry \u5982\u4f55\u5b9e\u73b0\u6570\u636e\u53bb\u91cd\uff1f\" ><\/p>\n<\/p>\n<p><strong>\u3010\u524d\u8a00\u3011<\/strong><br \/>\n\u5728\u5206\u5e03\u5f0f\u7cfb\u7edf\u4e0e\u5fae\u670d\u52a1\u67b6\u6784\u76db\u884c\u7684\u4eca\u5929\uff0c\u53ef\u89c2\u6d4b\u6027\uff08Observability\uff09\u5df2\u6210\u4e3a\u6280\u672f\u56e2\u961f\u4fdd\u969c\u7cfb\u7edf\u7a33\u5b9a\u6027\u7684\u6838\u5fc3\u80fd\u529b\u3002\u7136\u800c\uff0c\u968f\u7740\u76d1\u63a7\u6570\u636e\u89c4\u6a21\u7684\u6307\u6570\u7ea7\u589e\u957f\uff0c<strong>\u91cd\u590d\u6570\u636e<\/strong>\u7684\u4f20\u8f93\u3001\u5b58\u50a8\u4e0e\u5206\u6790\u6210\u672c\u6b63\u6210\u4e3a\u4f01\u4e1a\u7684\u65b0\u75db\u70b9\u3002\u60f3\u8c61\u4e00\u4e0b\uff1a\u540c\u4e00\u6bb5\u9519\u8bef\u65e5\u5fd7\u88ab\u591a\u4e2a\u670d\u52a1\u91cd\u590d\u4e0a\u62a5\uff0c\u6216\u76f8\u540c\u6307\u6807\u7684\u5197\u4f59\u91c7\u6837\u6570\u636e\u6324\u5360\u5b58\u50a8\u7a7a\u95f4\u2014\u2014\u8fd9\u4e0d\u4ec5\u6d6a\u8d39\u8d44\u6e90\uff0c\u8fd8\u53ef\u80fd\u5e72\u6270\u6545\u969c\u5b9a\u4f4d\u7684\u6548\u7387\u3002<strong><a href=\"https:\/\/www.yunshan.net\/\"   target=\"_blank\" style=\"color:blue\">OpenTelemetry<\/a><\/strong>\uff08\u7b80\u79f0OTel\uff09\u4f5c\u4e3a\u4e91\u539f\u751f\u9886\u57df\u7684\u4e8b\u5b9e\u6807\u51c6\uff0c\u5982\u4f55\u901a\u8fc7\u667a\u80fd\u5316\u7684\u6570\u636e\u53bb\u91cd\u673a\u5236\u4f18\u5316\u8fd9\u4e00\u8fc7\u7a0b\uff1f\u672c\u6587\u5c06\u6df1\u5165\u5256\u6790\u5176\u6280\u672f\u539f\u7406\u4e0e\u5b9e\u8df5\u65b9\u6848\uff0c\u4e3a\u5f00\u53d1\u8005\u63d0\u4f9b\u4e00\u4efd\u6e05\u6670\u7684\u6548\u7387\u63d0\u5347\u6307\u5357\u3002<\/p>\n<hr>\n<h3 id=\"\u4e00-\u6570\u636e\u53bb\u91cd\u7684\u5fc5\u8981\u6027-\u4ece\u95ee\u9898\u573a\u666f\u51fa\u53d1\">\u4e00\u3001\u6570\u636e\u53bb\u91cd\u7684\u5fc5\u8981\u6027\uff1a\u4ece\u95ee\u9898\u573a\u666f\u51fa\u53d1<\/h3>\n<p>\u5728\u5206\u5e03\u5f0f\u94fe\u8def\u8ffd\u8e2a\uff08Trace\uff09\u3001\u6307\u6807\uff08Metrics\uff09\u548c\u65e5\u5fd7\uff08Logs\uff09\u7684\u91c7\u96c6\u8fc7\u7a0b\u4e2d\uff0c<strong>\u91cd\u590d\u6570\u636e\u901a\u5e38\u6e90\u4e8e\u4e24\u7c7b\u573a\u666f<\/strong>\uff1a<\/p>\n<ol>\n<li><strong>\u8de8\u670d\u52a1\u4f20\u64ad\u7684\u91cd\u590d\u6027<\/strong>\uff1a\u4f8b\u5982\uff0c\u4e00\u6b21\u7528\u6237\u8bf7\u6c42\u53ef\u80fd\u5728\u591a\u4e2a\u670d\u52a1\u4e2d\u751f\u6210\u76f8\u540c\u9519\u8bef\u7801\u7684\u65e5\u5fd7\uff1b\n<\/li>\n<li><strong>\u91c7\u6837\u7b56\u7565\u7684\u526f\u4f5c\u7528<\/strong>\uff1a\u9ad8\u9891\u7387\u7684\u6307\u6807\u91c7\u96c6\u6216\u81ea\u9002\u5e94\u91c7\u6837\u7b97\u6cd5\u53ef\u80fd\u5bfc\u81f4\u76f8\u90bb\u65f6\u95f4\u70b9\u7684\u6570\u636e\u9ad8\u5ea6\u76f8\u4f3c\u3002\n<\/li>\n<\/ol>\n<p>\u8fd9\u4e9b\u91cd\u590d\u6570\u636e\u82e5\u672a\u7ecf\u5904\u7406\uff0c\u5c06\u5bfc\u81f4\u4e09\u5927\u95ee\u9898\uff1a<\/p>\n<ul>\n<li><strong>\u5b58\u50a8\u6210\u672c\u6fc0\u589e<\/strong>\uff1a\u4e91\u670d\u52a1\u5546\u6309\u6570\u636e\u91cf\u8ba1\u8d39\u65f6\uff0c\u5197\u4f59\u6570\u636e\u53ef\u80fd\u4f7f\u8d26\u5355\u81a8\u80c030%\u4ee5\u4e0a\uff1b\n<\/li>\n<li><strong>\u67e5\u8be2\u6027\u80fd\u4e0b\u964d<\/strong>\uff1a\u805a\u5408\u5206\u6790\u65f6\u9700\u8981\u8fc7\u6ee4\u5927\u91cf\u65e0\u6548\u6570\u636e\uff0c\u5ef6\u957f\u54cd\u5e94\u65f6\u95f4\uff1b\n<\/li>\n<li><strong>\u544a\u8b66\u51c6\u786e\u6027\u53d7\u635f<\/strong>\uff1a\u91cd\u590d\u4e8b\u4ef6\u53ef\u80fd\u89e6\u53d1\u8bef\u62a5\uff0c\u5e72\u6270\u8fd0\u7ef4\u51b3\u7b56\u3002\n<\/li>\n<\/ul>\n<p><strong><a href=\"https:\/\/www.yunshan.net\/\"   target=\"_blank\" style=\"color:blue\">OpenTelemetry<\/a>\u7684\u5e94\u5bf9\u601d\u8def<\/strong>\u662f\uff1a\u5728\u6570\u636e\u91c7\u96c6\u3001\u4f20\u8f93\u3001\u5b58\u50a8\u7684\u5168\u751f\u547d\u5468\u671f\u4e2d\uff0c\u901a\u8fc7\u7b97\u6cd5\u4e0e\u914d\u7f6e\u7b56\u7565\u5b9e\u73b0<strong>\u8f7b\u91cf\u7ea7\u53bb\u91cd<\/strong>\uff0c\u5e73\u8861\u6570\u636e\u5b8c\u6574\u6027\u4e0e\u8d44\u6e90\u6548\u7387\u3002<\/p>\n<hr>\n<h3 id=\"\u4e8c-opentelemetry\u6570\u636e\u53bb\u91cd\u7684\u6838\u5fc3\u673a\u5236\">\u4e8c\u3001OpenTelemetry\u6570\u636e\u53bb\u91cd\u7684\u6838\u5fc3\u673a\u5236<\/h3>\n<h4 id=\"1-trace\u5c42\u7ea7\u7684\u667a\u80fd\u91c7\u6837\">1. <strong>Trace\u5c42\u7ea7\u7684\u667a\u80fd\u91c7\u6837<\/strong><\/h4>\n<p>*\u91c7\u6837\uff08Sampling\uff09*\u662fOpenTelemetry\u51cf\u5c11\u6570\u636e\u91cf\u7684\u9996\u8981\u624b\u6bb5\uff0c\u4f46\u5176\u526f\u4f5c\u7528\u662f\u53ef\u80fd\u4e22\u5931\u5173\u952e\u4fe1\u606f\u3002\u4e3a\u6b64\uff0cOTel\u8bbe\u8ba1\u4e86\u4e24\u79cd\u53bb\u91cd\u53cb\u597d\u7684\u91c7\u6837\u7b56\u7565\uff1a<\/p>\n<ul>\n<li><strong>\u5934\u90e8\u91c7\u6837\uff08Head-based Sampling\uff09<\/strong>\uff1a\u5728\u8bf7\u6c42\u5165\u53e3\u5904\u51b3\u5b9a\u662f\u5426\u8bb0\u5f55\u5b8c\u6574Trace\uff0c\u901a\u8fc7<code>Sampler<\/code>\u63a5\u53e3\u914d\u7f6e\u89c4\u5219\uff08\u5982\uff1a\u4ec5\u8bb0\u5f55\u9519\u8bef\u7387\u8d85\u9608\u503c\u7684\u8bf7\u6c42\uff09\u3002\n<\/li>\n<li><strong>\u5c3e\u90e8\u91c7\u6837\uff08Tail-based Sampling\uff09<\/strong>\uff1a\u5728\u8bf7\u6c42\u5b8c\u6210\u540e\uff0c\u6839\u636e\u805a\u5408\u7ed3\u679c\u52a8\u6001\u7b5b\u9009\u6709\u4ef7\u503c\u7684Trace\uff08\u4f8b\u5982\uff1a\u5305\u542b\u6162\u54cd\u5e94\u6216\u9519\u8bef\u72b6\u6001\u7684\u94fe\u8def\uff09\u3002\n<\/li>\n<\/ul>\n<p><strong>\u5173\u952e\u70b9<\/strong>\uff1a\u901a\u8fc7<code>ParentBasedSampler<\/code>\u7ec4\u5408\u7b56\u7565\uff0c\u786e\u4fdd\u91cd\u8981\u8bf7\u6c42\u7684Trace\u4e0d\u88ab\u91cd\u590d\u91c7\u6837\uff0c\u540c\u65f6\u907f\u514d\u4f4e\u4f18\u5148\u7ea7\u6570\u636e\u7684\u5197\u4f59\u5b58\u50a8\u3002<\/p>\n<h4 id=\"2-metrics\u7684\u65f6\u5e8f\u6570\u636e\u805a\u5408\">2. <strong>Metrics\u7684\u65f6\u5e8f\u6570\u636e\u805a\u5408<\/strong><\/h4>\n<p>\u6307\u6807\u6570\u636e\uff08Metrics\uff09\u7684\u91cd\u590d\u901a\u5e38\u4f53\u73b0\u4e3a\u65f6\u95f4\u7a97\u53e3\u5185\u7684\u503c\u6ce2\u52a8\u8f83\u5c0f\u3002OTel\u7684\u89e3\u51b3\u65b9\u6848\u5305\u62ec\uff1a<\/p>\n<ul>\n<li><strong>\u4e34\u65f6\u805a\u5408\uff08Temporal Aggregation\uff09<\/strong>\uff1a\u5728\u5ba2\u6237\u7aef\u6216\u6536\u96c6\u5668\uff08Collector\uff09\u4e2d\uff0c\u5c06\u77ed\u5468\u671f\uff08\u59821\u79d2\uff09\u5185\u7684\u6307\u6807\u805a\u5408\u6210\u66f4\u957f\u7684\u7edf\u8ba1\u95f4\u9694\uff08\u598260\u79d2\uff09\uff0c\u51cf\u5c11\u65f6\u95f4\u5e8f\u5217\u57fa\u6570\u3002\n<\/li>\n<li><strong>\u7ef4\u5ea6\u526a\u679d\uff08Dimension Pruning\uff09<\/strong>\uff1a\u81ea\u52a8\u8bc6\u522b\u5e76\u79fb\u9664\u4f4e\u57fa\u6570\uff08Low-cardinality\uff09\u6216\u6052\u5b9a\u503c\u7684\u6807\u7b7e\uff08\u5982<code>env=prod<\/code>\uff09\uff0c\u538b\u7f29\u6570\u636e\u4f53\u79ef\u3002\n<\/li>\n<\/ul>\n<p>\u4e00\u4e2a\u8bb0\u5f55CPU\u4f7f\u7528\u7387\u7684\u6307\u6807\u82e5\u572810\u79d2\u5185\u6ce2\u52a8\u4ec5\u4e3a\u00b11%\uff0c\u53ef\u901a\u8fc7<code>Aggregation Temporality<\/code>\u914d\u7f6e\u4e3a<code>Cumulative<\/code>\u6a21\u5f0f\uff0c\u4ec5\u4e0a\u62a5\u7d2f\u8ba1\u7edf\u8ba1\u503c\u3002<\/p>\n<h4 id=\"3-\u65e5\u5fd7\u5185\u5bb9\u7684\u7279\u5f81\u6307\u7eb9\u53bb\u91cd\">3. <strong>\u65e5\u5fd7\u5185\u5bb9\u7684\u7279\u5f81\u6307\u7eb9\u53bb\u91cd<\/strong><\/h4>\n<p>\u5bf9\u4e8e\u65e5\u5fd7\u6570\u636e\uff0cOTel\u901a\u8fc7\u4ee5\u4e0b\u6b65\u9aa4\u5b9e\u73b0\u5185\u5bb9\u7ea7\u53bb\u91cd\uff1a<\/p>\n<ul>\n<li><strong>\u751f\u6210\u6307\u7eb9\uff08Fingerprint\uff09<\/strong>\uff1a\u4f7f\u7528\u54c8\u5e0c\u7b97\u6cd5\uff08\u5982SHA-256\uff09\u4e3a\u6bcf\u6761\u65e5\u5fd7\u7684<em>\u5173\u952e\u5b57\u6bb5<\/em>\uff08\u5982\u9519\u8bef\u7c7b\u578b\u3001\u5806\u6808\u8ddf\u8e2a\uff09\u751f\u6210\u552f\u4e00\u6807\u8bc6\uff1b\n<\/li>\n<li><strong>\u6ed1\u52a8\u7a97\u53e3\u6bd4\u5bf9<\/strong>\uff1a\u5728\u6536\u96c6\u5668\u4e2d\u7ef4\u62a4\u4e00\u4e2a\u77ed\u671f\u7f13\u5b58\uff0c\u4e22\u5f03\u76f8\u540c\u6307\u7eb9\u7684\u91cd\u590d\u65e5\u5fd7\uff1b\n<\/li>\n<li><strong>\u52a8\u6001\u9608\u503c\u8c03\u6574<\/strong>\uff1a\u6839\u636e\u7cfb\u7edf\u8d1f\u8f7d\u81ea\u52a8\u8c03\u6574\u7f13\u5b58\u7a97\u53e3\u5927\u5c0f\uff0c\u907f\u514d\u5185\u5b58\u6ea2\u51fa\u3002\n<\/li>\n<\/ul>\n<p><em>\u793a\u4f8b\u4ee3\u7801\uff08OTel Collector\u914d\u7f6e\u7247\u6bb5\uff09\uff1a<\/em><\/p>\n<pre><code class=\"language-yaml\">processors:  \r\nfingerprint:  \r\nignored_keys: [&quot;timestamp&quot;, &quot;log.offset&quot;]  \r\nhash_field: &quot;fingerprint&quot;  \r\npreserved_fields: [&quot;message&quot;, &quot;severity&quot;]  \r\n<\/code><\/pre>\n<hr>\n<h3 id=\"\u4e09-\u914d\u7f6e\u5b9e\u6218-\u4ece\u7406\u8bba\u5230\u843d\u5730\u7684\u5173\u952e\u6b65\u9aa4\">\u4e09\u3001\u914d\u7f6e\u5b9e\u6218\uff1a\u4ece\u7406\u8bba\u5230\u843d\u5730\u7684\u5173\u952e\u6b65\u9aa4<\/h3>\n<h4 id=\"\u6b65\u9aa41-\u5b9a\u4e49\u53bb\u91cd\u89c4\u5219\u4e0e\u4e1a\u52a1\u4f18\u5148\u7ea7\">\u6b65\u9aa41\uff1a\u5b9a\u4e49\u53bb\u91cd\u89c4\u5219\u4e0e\u4e1a\u52a1\u4f18\u5148\u7ea7<\/h4>\n<ul>\n<li><strong>\u8bc6\u522b\u9ad8\u5197\u4f59\u6570\u636e\u6e90<\/strong>\uff1a\u901a\u8fc7OTel\u7684<code>Diagnostic Metrics<\/code>\uff08\u5982<code>otelcol_processor_refused_spans<\/code>\uff09\u5b9a\u4f4d\u91cd\u590d\u4e25\u91cd\u7684\u7ba1\u9053\uff1b\n<\/li>\n<li><strong>\u5e73\u8861\u6570\u636e\u5b8c\u6574\u6027<\/strong>\uff1a\u6838\u5fc3\u4e1a\u52a1\u94fe\u8def\u9700\u4fdd\u7559\u539f\u59cb\u6570\u636e\uff0c\u975e\u5173\u952e\u670d\u52a1\u53ef\u542f\u7528\u6fc0\u8fdb\u805a\u5408\u3002\n<\/li>\n<\/ul>\n<h4 id=\"\u6b65\u9aa42-\u5728pipeline\u4e2d\u5d4c\u5165\u53bb\u91cd\u7ec4\u4ef6\">\u6b65\u9aa42\uff1a\u5728Pipeline\u4e2d\u5d4c\u5165\u53bb\u91cd\u7ec4\u4ef6<\/h4>\n<p>OTel Collector\u7684\u6a21\u5757\u5316\u67b6\u6784\u5141\u8bb8\u7075\u6d3b\u63d2\u5165\u5904\u7406\u5668\uff08Processor\uff09\uff1a<\/p>\n<pre><code class=\"language-yaml\">service:  \r\npipelines:  \r\ntraces:  \r\nprocessors: [tail_sampling, batch]  \r\nmetrics:  \r\nprocessors: [metric_transform, batch]  \r\nlogs:  \r\nprocessors: [fingerprint, batch]  \r\n<\/code><\/pre>\n<h4 id=\"\u6b65\u9aa43-\u76d1\u63a7\u4e0e\u52a8\u6001\u8c03\u4f18\">\u6b65\u9aa43\uff1a\u76d1\u63a7\u4e0e\u52a8\u6001\u8c03\u4f18<\/h4>\n<ul>\n<li><strong>\u6307\u6807\u76d1\u63a7<\/strong>\uff1a\u8ddf\u8e2a<code>otelcol_processor_accepted_spans<\/code>\u4e0e<code>otelcol_processor_dropped_spans<\/code>\u7684\u6bd4\u7387\uff0c\u8bc4\u4f30\u53bb\u91cd\u6548\u679c\uff1b\n<\/li>\n<li><strong>\u81ea\u9002\u5e94\u8c03\u6574<\/strong>\uff1a\u4f7f\u7528<code>probabilistic_sampler<\/code>\u7ec4\u4ef6\u6839\u636e\u5f53\u524d\u8d1f\u8f7d\u52a8\u6001\u8c03\u6574\u91c7\u6837\u7387\u3002\n<\/li>\n<\/ul>\n<hr>\n<h3 id=\"\u56db-\u8fdb\u9636\u573a\u666f-\u53bb\u91cd\u4e0e\u6570\u636e\u4e00\u81f4\u6027\u7684\u6743\u8861\">\u56db\u3001\u8fdb\u9636\u573a\u666f\uff1a\u53bb\u91cd\u4e0e\u6570\u636e\u4e00\u81f4\u6027\u7684\u6743\u8861<\/h3>\n<p>\u5c3d\u7ba1\u53bb\u91cd\u80fd\u663e\u8457\u964d\u4f4e\u6210\u672c\uff0c\u4f46\u8fc7\u5ea6\u4f7f\u7528\u53ef\u80fd\u5bfc\u81f4\u6570\u636e\u5931\u771f\u3002<strong>\u6700\u4f73\u5b9e\u8df5\u5305\u62ec<\/strong>\uff1a<\/p>\n<ul>\n<li><strong>\u5206\u5e03\u5f0f\u4e00\u81f4\u6027\u6821\u9a8c<\/strong>\uff1a\u5728\u8de8\u5730\u57df\u90e8\u7f72\u7684Collector\u96c6\u7fa4\u4e2d\uff0c\u901a\u8fc7\u4e00\u81f4\u6027\u54c8\u5e0c\u7b97\u6cd5\u907f\u514d\u91cd\u590d\u8fc7\u6ee4\uff1b\n<\/li>\n<li><strong>\u5f02\u5e38\u68c0\u6d4b\u515c\u5e95<\/strong>\uff1a\u5728\u964d\u7ea7\u7b56\u7565\u4e2d\uff0c\u5141\u8bb8\u7279\u5b9a\u9519\u8bef\u7801\u7684\u65e5\u5fd7\u7ed5\u8fc7\u6307\u7eb9\u53bb\u91cd\uff1b\n<\/li>\n<li><strong>\u7248\u672c\u5316\u89c4\u5219\u7ba1\u7406<\/strong>\uff1a\u4f7f\u7528GitOps\u5de5\u5177\uff08\u5982Argo CD\uff09\u540c\u6b65\u53bb\u91cd\u914d\u7f6e\uff0c\u786e\u4fdd\u73af\u5883\u95f4\u7b56\u7565\u4e00\u81f4\u3002\n<\/li>\n<\/ul>\n<hr>\n<h3 id=\"\u4e94-\u672a\u6765\u5c55\u671b-ai\u9a71\u52a8\u7684\u81ea\u9002\u5e94\u53bb\u91cd\">\u4e94\u3001\u672a\u6765\u5c55\u671b\uff1aAI\u9a71\u52a8\u7684\u81ea\u9002\u5e94\u53bb\u91cd<\/h3>\n<p>\u968f\u7740AI\u6280\u672f\u7684\u6e17\u900f\uff0cOpenTelemetry\u793e\u533a\u6b63\u5728\u63a2\u7d22\u66f4\u667a\u80fd\u7684\u53bb\u91cd\u65b9\u6848\uff1a<\/p>\n<ul>\n<li><strong>\u8bed\u4e49\u611f\u77e5\u91c7\u6837<\/strong>\uff1a\u5229\u7528NLP\u6a21\u578b\u8bc6\u522b\u65e5\u5fd7\u4e2d\u7684\u76f8\u4f3c\u8bed\u4e49\uff0c\u66ff\u4ee3\u7cbe\u786e\u54c8\u5e0c\u5339\u914d\uff1b\n<\/li>\n<li><strong>\u9884\u6d4b\u6027\u805a\u5408<\/strong>\uff1a\u901a\u8fc7\u65f6\u5e8f\u9884\u6d4b\u7b97\u6cd5\uff08\u5982LSTM\uff09\u63d0\u524d\u5408\u5e76\u5468\u671f\u6027\u6307\u6807\u6570\u636e\uff1b\n<\/li>\n<li><strong>\u6210\u672c-\u4ef7\u503c\u6a21\u578b<\/strong>\uff1a\u52a8\u6001\u8ba1\u7b97\u6bcf\u6761\u6570\u636e\u7684\u5b58\u50a8\u6210\u672c\u4e0e\u4e1a\u52a1\u4ef7\u503c\uff0c\u5b9e\u73b0\u7ecf\u6d4e\u6700\u4f18\u7684\u53bb\u91cd\u51b3\u7b56\u3002\n<\/li>\n<\/ul>\n<hr>\n<p>\u901a\u8fc7\u4e0a\u8ff0\u6280\u672f\u4e0e\u7b56\u7565\u7684\u7ed3\u5408\uff0cOpenTelemetry\u4e0d\u4ec5\u89e3\u51b3\u4e86\u6570\u636e\u53bb\u91cd\u7684\u5de5\u7a0b\u6311\u6218\uff0c\u66f4\u5728\u53ef\u89c2\u6d4b\u6027\u9886\u57df\u6811\u7acb\u4e86<strong>\u201c\u7cbe\u51c6\u89c2\u6d4b\u201d<\/strong>\u7684\u65b0\u6807\u51c6\u3002\u5bf9\u4e8e\u6280\u672f\u56e2\u961f\u800c\u8a00\uff0c\u5408\u7406\u914d\u7f6e\u53bb\u91cd\u89c4\u5219\u5c06\u6210\u4e3a\u4f18\u5316\u8fd0\u7ef4\u6210\u672c\u3001\u63d0\u5347\u7cfb\u7edf\u7a33\u5b9a\u6027\u7684\u5173\u952e\u4e00\u6b65\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u3010\u524d\u8a00\u3011 \u5728\u5206\u5e03\u5f0f\u7cfb\u7edf\u4e0e\u5fae\u670d\u52a1\u67b6\u6784\u76db\u884c\u7684\u4eca\u5929\uff0c\u53ef\u89c2\u6d4b\u6027\uff08Observability\uff09\u5df2\u6210\u4e3a\u6280\u672f\u56e2\u961f\u4fdd\u969c\u7cfb\u7edf\u7a33\u5b9a\u6027\u7684\u6838\u5fc3\u80fd\u529b\u3002\u7136\u800c\uff0c\u968f\u7740\u76d1\u63a7\u6570\u636e\u89c4\u6a21\u7684\u6307\u6570\u7ea7\u589e\u957f\uff0c\u91cd\u590d\u6570\u636e\u7684\u4f20\u8f93\u3001\u5b58\u50a8\u4e0e\u5206\u6790\u6210\u672c\u6b63\u6210\u4e3a\u4f01\u4e1a\u7684\u65b0\u75db\u70b9\u3002\u60f3\u8c61\u4e00\u4e0b\uff1a\u540c\u4e00\u6bb5\u9519\u8bef\u65e5\u5fd7\u88ab\u591a\u4e2a\u670d\u52a1\u91cd\u590d\u4e0a\u62a5\uff0c\u6216\u76f8\u540c\u6307\u6807\u7684\u5197\u4f59\u91c7\u6837\u6570\u636e\u6324\u5360\u5b58\u50a8\u7a7a\u95f4\u2014\u2014\u8fd9\u4e0d\u4ec5\u6d6a\u8d39\u8d44\u6e90\uff0c\u8fd8\u53ef\u80fd\u5e72\u6270\u6545\u969c\u5b9a\u4f4d\u7684\u6548\u7387\u3002OpenTelemetry\uff08\u7b80\u79f0OTel\uff09\u4f5c\u4e3a\u4e91\u539f\u751f\u9886\u57df\u7684\u4e8b\u5b9e\u6807\u51c6\uff0c\u5982\u4f55\u901a\u8fc7\u667a\u80fd\u5316\u7684\u6570\u636e\u53bb\u91cd\u673a\u5236\u4f18\u5316\u8fd9\u4e00\u8fc7\u7a0b\uff1f\u672c\u6587\u5c06\u6df1\u5165\u5256\u6790\u5176\u6280\u672f\u539f\u7406\u4e0e\u5b9e\u8df5\u65b9\u6848\uff0c\u4e3a\u5f00\u53d1\u8005\u63d0\u4f9b\u4e00\u4efd\u6e05\u6670\u7684\u6548\u7387\u63d0\u5347\u6307\u5357\u3002 \u4e00\u3001\u6570\u636e\u53bb\u91cd\u7684\u5fc5\u8981\u6027\uff1a\u4ece\u95ee\u9898\u573a\u666f\u51fa\u53d1 \u5728\u5206\u5e03\u5f0f\u94fe\u8def\u8ffd\u8e2a\uff08Trace\uff09\u3001\u6307\u6807\uff08Metrics\uff09\u548c\u65e5\u5fd7\uff08Logs\uff09\u7684\u91c7\u96c6\u8fc7\u7a0b\u4e2d\uff0c\u91cd\u590d\u6570\u636e\u901a\u5e38\u6e90\u4e8e\u4e24\u7c7b\u573a\u666f\uff1a \u8de8\u670d\u52a1\u4f20\u64ad\u7684\u91cd\u590d\u6027\uff1a\u4f8b\u5982\uff0c\u4e00\u6b21\u7528\u6237\u8bf7\u6c42\u53ef\u80fd\u5728\u591a\u4e2a\u670d\u52a1\u4e2d\u751f\u6210\u76f8\u540c\u9519\u8bef\u7801\u7684\u65e5\u5fd7\uff1b \u91c7\u6837\u7b56\u7565\u7684\u526f\u4f5c\u7528\uff1a\u9ad8\u9891\u7387\u7684\u6307\u6807\u91c7\u96c6\u6216\u81ea\u9002\u5e94\u91c7\u6837\u7b97\u6cd5\u53ef\u80fd\u5bfc\u81f4\u76f8\u90bb\u65f6\u95f4\u70b9\u7684\u6570\u636e\u9ad8\u5ea6\u76f8\u4f3c\u3002 \u8fd9\u4e9b\u91cd\u590d\u6570\u636e\u82e5\u672a\u7ecf\u5904\u7406\uff0c\u5c06\u5bfc\u81f4\u4e09\u5927\u95ee\u9898\uff1a 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Trace\u5c42\u7ea7\u7684\u667a\u80fd\u91c7\u6837 *\u91c7\u6837\uff08Sampling\uff09*\u662fOpenTelemetry\u51cf\u5c11\u6570\u636e\u91cf\u7684\u9996\u8981\u624b\u6bb5\uff0c\u4f46\u5176\u526f\u4f5c\u7528\u662f\u53ef\u80fd\u4e22\u5931\u5173\u952e\u4fe1\u606f\u3002\u4e3a\u6b64\uff0cOTel\u8bbe\u8ba1\u4e86\u4e24\u79cd\u53bb\u91cd\u53cb\u597d\u7684\u91c7\u6837\u7b56\u7565\uff1a \u5934\u90e8\u91c7\u6837\uff08Head-based Sampling\uff09\uff1a\u5728\u8bf7\u6c42\u5165\u53e3\u5904\u51b3\u5b9a\u662f\u5426\u8bb0\u5f55\u5b8c\u6574Trace\uff0c\u901a\u8fc7Sampler\u63a5\u53e3\u914d\u7f6e\u89c4\u5219\uff08\u5982\uff1a\u4ec5\u8bb0\u5f55\u9519\u8bef\u7387\u8d85\u9608\u503c\u7684\u8bf7\u6c42\uff09\u3002 \u5c3e\u90e8\u91c7\u6837\uff08Tail-based Sampling\uff09\uff1a\u5728\u8bf7\u6c42\u5b8c\u6210\u540e\uff0c\u6839\u636e\u805a\u5408\u7ed3\u679c\u52a8\u6001\u7b5b\u9009\u6709\u4ef7\u503c\u7684Trace\uff08\u4f8b\u5982\uff1a\u5305\u542b\u6162\u54cd\u5e94\u6216\u9519\u8bef\u72b6\u6001\u7684\u94fe\u8def\uff09\u3002 \u5173\u952e\u70b9\uff1a\u901a\u8fc7ParentBasedSampler\u7ec4\u5408\u7b56\u7565\uff0c\u786e\u4fdd\u91cd\u8981\u8bf7\u6c42\u7684Trace\u4e0d\u88ab\u91cd\u590d\u91c7\u6837\uff0c\u540c\u65f6\u907f\u514d\u4f4e\u4f18\u5148\u7ea7\u6570\u636e\u7684\u5197\u4f59\u5b58\u50a8\u3002 2. 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