{"id":105243,"date":"2026-09-15T06:32:22","date_gmt":"2026-09-14T22:32:22","guid":{"rendered":"https:\/\/www.wsisp.com\/helps\/105243.html"},"modified":"2026-09-15T06:32:22","modified_gmt":"2026-09-14T22:32:22","slug":"%e6%b6%88%e6%81%af%e9%98%9f%e5%88%97%e5%ae%9e%e6%88%98%ef%bc%889%ef%bc%89%ef%bc%9a%e6%b6%88%e6%81%af%e4%b8%ad%e9%97%b4%e4%bb%b6%e7%9b%91%e6%8e%a7%e4%b8%8e%e5%ae%b9%e9%87%8f%e8%a7%84%e5%88%92","status":"publish","type":"post","link":"https:\/\/www.wsisp.com\/helps\/105243.html","title":{"rendered":"\u6d88\u606f\u961f\u5217\u5b9e\u6218\uff089\uff09\uff1a\u6d88\u606f\u4e2d\u95f4\u4ef6\u76d1\u63a7\u4e0e\u5bb9\u91cf\u89c4\u5212"},"content":{"rendered":"

\u4e0a\u4e00\u7bc7\u628a\u4e8b\u52a1\u6d88\u606f\u548c\u6700\u7ec8\u4e00\u81f4\u8bb2\u6e05\u695a\u540e，\u6d88\u606f\u7cfb\u7edf\u5df2\u7ecf\u4ece"\u80fd\u8dd1"\u8fdb\u5230\u4e86"\u4e1a\u52a1\u4f9d\u8d56\u5b83"\u3002\u4e00\u65e6\u4e1a\u52a1\u4f9d\u8d56\u5b83，\u5b83\u5c31\u53d8\u6210\u4e86\u9700\u8981\u6301\u7eed\u89c2\u6d4b\u548c\u63d0\u524d\u89c4\u5212\u7684\u57fa\u5efa\u8bbe\u65bd\u3002\u672c\u7bc7\u56de\u7b54\u4e24\u4e2a\u95ee\u9898：\u76d1\u63a7\u8be5\u76ef\u54ea\u4e9b\u6307\u6807\u3001\u544a\u8b66\u9608\u503c\u600e\u4e48\u5b9a；\u4ee5\u53ca\u5bb9\u91cf\u89c4\u5212\u600e\u4e48\u7b97，\u907f\u514d\u4e0a\u7ebf\u534a\u5e74\u540e\u78c1\u76d8\u5199\u6ee1\u624d\u540e\u6094\u6ca1\u7559\u4f59\u91cf\u3002\u8fd9\u4e24\u4e2a\u80fd\u529b\u662f\u6d88\u606f\u7cfb\u7edf\u4ece"\u80fd\u7528"\u8d70\u5411"\u6562\u4f9d\u8d56"\u7684\u6700\u540e\u95e8\u69db\u3002<\/p>\n

\u4e00\u3001\u76d1\u63a7\u6307\u6807\u4e0e\u544a\u8b66：\u5148\u76ef Lag，\u518d\u770b\u8d44\u6e90<\/h3>\n

\u6d88\u606f\u7cfb\u7edf\u8981\u76d1\u63a7\u7684\u6307\u6807\u53ef\u4ee5\u5206\u6210\u4e24\u7c7b：\u4e1a\u52a1\u4fa7\u770b Lag（\u6d88\u8d39\u79ef\u538b）\u548c\u541e\u5410\u901f\u7387，\u8d44\u6e90\u4fa7\u770b\u78c1\u76d8\u3001CPU\u3001\u7f51\u7edc\u3002\u5176\u4e2d Lag \u662f\u6700\u91cd\u8981\u7684\u4e1a\u52a1\u5065\u5eb7\u5ea6\u6307\u6807\u2014\u2014\u5b83\u76f4\u63a5\u53cd\u6620"\u6d88\u8d39\u6709\u6ca1\u6709\u6389\u961f"\u3002\u4f46\u544a\u8b66\u4e0d\u80fd\u53ea\u8bbe\u4e00\u4e2a\u7b3c\u7edf\u7684"Lag \u5927\u5c31\u62a5\u8b66"，\u8981\u5206\u7ea7：\u8f7b\u5fae\u6ede\u540e\u63d0\u793a\u5173\u6ce8，\u4e25\u91cd\u6ede\u540e\u8981\u7acb\u5373\u5904\u7406\u3002\u540c\u65f6\u8fd8\u8981\u770b"\u8d8b\u52bf"：\u5165\u6d41\u91cf\u6301\u7eed\u5927\u4e8e\u51fa\u6d41\u91cf，\u5373\u4f7f\u5f53\u524d Lag \u8fd8\u4e0d\u5927，\u4e5f\u9884\u793a\u7740\u79ef\u538b\u5373\u5c06\u5230\u6765\u3002\u4e0b\u9762\u5b9e\u73b0\u4e00\u5957\u5206\u7ea7\u544a\u8b66\u89c4\u5219\u3002<\/p>\n

class<\/span> Metrics<\/span>:<\/span>
\n def<\/span> __init__<\/span>(<\/span>self,<\/span> lag=<\/span>0<\/span>,<\/span> in_rate=<\/span>0<\/span>,<\/span> out_rate=<\/span>0<\/span>,<\/span> disk_pct=<\/span>40<\/span>)<\/span>:<\/span>
\n self.<\/span>lag =<\/span> lag
\n self.<\/span>in_rate =<\/span> in_rate
\n self.<\/span>out_rate =<\/span> out_rate
\n self.<\/span>disk_pct =<\/span> disk_pct<\/p>\n

def<\/span> check_alerts<\/span>(<\/span>m)<\/span>:<\/span>
\n alerts =<\/span> [<\/span>]<\/span>
\n if<\/span> m.<\/span>lag ><\/span> 10_000<\/span>:<\/span>
\n alerts.<\/span>append(<\/span>"consumer lag > 10000, \u6d88\u8d39\u4e25\u91cd\u843d\u540e"<\/span>)<\/span>
\n elif<\/span> m.<\/span>lag ><\/span> 2_000<\/span>:<\/span>
\n alerts.<\/span>append(<\/span>"consumer lag > 2000, \u9700\u5173\u6ce8"<\/span>)<\/span>
\n if<\/span> m.<\/span>disk_pct ><\/span> 85<\/span>:<\/span>
\n alerts.<\/span>append(<\/span>"\u78c1\u76d8\u4f7f\u7528\u7387 > 85%, \u63a5\u8fd1\u5199\u6ee1"<\/span>)<\/span>
\n if<\/span> m.<\/span>in_rate ><\/span> m.<\/span>out_rate *<\/span> 1.5<\/span>:<\/span>
\n alerts.<\/span>append(<\/span>"\u5165\u6d41\u91cf > \u51fa\u6d41\u91cf 1.5 \u500d, \u79ef\u538b\u5728\u589e\u957f"<\/span>)<\/span>
\n return<\/span> alerts<\/p>\n

samples =<\/span> [<\/span>
\n Metrics(<\/span>lag=<\/span>500<\/span>,<\/span> in_rate=<\/span>200<\/span>,<\/span> out_rate=<\/span>100<\/span>,<\/span> disk_pct=<\/span>40<\/span>)<\/span>,<\/span>
\n Metrics(<\/span>lag=<\/span>12000<\/span>,<\/span> in_rate=<\/span>800<\/span>,<\/span> out_rate=<\/span>100<\/span>,<\/span> disk_pct=<\/span>90<\/span>)<\/span>,<\/span>
\n]<\/span>
\nfor<\/span> i,<\/span> m in<\/span> enumerate<\/span>(<\/span>samples,<\/span> 1<\/span>)<\/span>:<\/span>
\n print<\/span>(<\/span>f"\u6837\u672c<\/span>{<\/span>i}<\/span><\/span> lag=<\/span>{<\/span>m.<\/span>lag}<\/span><\/span> in=<\/span>{<\/span>m.<\/span>in_rate}<\/span><\/span> out=<\/span>{<\/span>m.<\/span>out_rate}<\/span><\/span> disk=<\/span>{<\/span>m.<\/span>disk_pct}<\/span><\/span>%"<\/span><\/span>)<\/span>
\n for<\/span> a in<\/span> check_alerts(<\/span>m)<\/span>:<\/span>
\n print<\/span>(<\/span>" ALERT:"<\/span>,<\/span> a)<\/span><\/p>\n

\u8fd0\u884c\u8f93\u51fa：<\/p>\n

\u6837\u672c1 lag=500 in=200 out=100 disk=40%
\n ALERT: \u5165\u6d41\u91cf > \u51fa\u6d41\u91cf 1.5 \u500d, \u79ef\u538b\u5728\u589e\u957f
\n\u6837\u672c2 lag=12000 in=800 out=100 disk=90%
\n ALERT: consumer lag > 10000, \u6d88\u8d39\u4e25\u91cd\u843d\u540e
\n ALERT: \u78c1\u76d8\u4f7f\u7528\u7387 > 85%, \u63a5\u8fd1\u5199\u6ee1
\n ALERT: \u5165\u6d41\u91cf > \u51fa\u6d41\u91cf 1.5 \u500d, \u79ef\u538b\u5728\u589e\u957f<\/p>\n

\u6837\u672c 1 \u7684 Lag \u53ea\u6709 500，\u4f46\u5165\u6d41\u91cf\u662f\u51fa\u6d41\u91cf\u7684 2 \u500d，\u8d8b\u52bf\u544a\u8b66\u5df2\u7ecf\u4eae\u8d77\u2014\u2014\u8fd9\u6b63\u662f"\u8d8b\u52bf\u6bd4\u7edd\u5bf9\u503c\u66f4\u65e9\u62a5\u8b66"\u7684\u4ef7\u503c\u3002\u6837\u672c 2 \u5219\u662f\u5178\u578b\u7684\u5168\u9762\u6076\u5316：Lag \u4e25\u91cd\u3001\u78c1\u76d8\u544a\u6025\u3001\u8d8b\u52bf\u6076\u5316\u540c\u65f6\u51fa\u73b0\u3002\u8fd9\u91cc\u6709\u4e00\u4e2a\u8fd0\u7ef4\u5e38\u8bc6：\u78c1\u76d8\u544a\u8b66\u9608\u503c\u8981\u8bbe\u5f97\u6bd4\u4e1a\u52a1\u76f4\u89c9\u66f4\u4fdd\u5b88\u3002\u56e0\u4e3a\u6d88\u606f\u7cfb\u7edf\u4e00\u65e6\u78c1\u76d8\u5199\u6ee1，Broker \u4f1a\u62d2\u7edd\u5199\u5165，\u751f\u4ea7\u7aef\u76f4\u63a5\u62a5\u9519，\u800c\u4e14\u6e05\u7406\u79ef\u538b\u9700\u8981\u65f6\u95f4，\u4ece"85% \u62a5\u8b66"\u5230"\u5199\u6ee1\u5b95\u673a"\u5f80\u5f80\u6bd4\u60f3\u8c61\u4e2d\u5feb\u3002\u5efa\u8bae\u78c1\u76d8\u5728 70% \u5c31\u5f00\u59cb\u9884\u8b66，85% \u8fdb\u5165\u5904\u7406\u6d41\u7a0b\u3002<\/p>\n

\u4e8c\u3001\u5bb9\u91cf\u89c4\u5212：\u541e\u5410\u91cf\u3001\u526f\u672c\u4e0e\u4fdd\u7559\u65f6\u95f4\u7684\u4e58\u6cd5<\/h3>\n

\u5bb9\u91cf\u89c4\u5212\u7684\u516c\u5f0f\u4e0d\u590d\u6742，\u96be\u7684\u662f\u628a\u6240\u6709\u53d8\u91cf\u90fd\u8003\u8651\u8fdb\u53bb\u3002\u78c1\u76d8\u5360\u7528 = \u541e\u5410\u91cf \u00d7 \u5e73\u5747\u6d88\u606f\u5927\u5c0f \u00d7 \u526f\u672c\u56e0\u5b50 \u00d7 \u4fdd\u7559\u65f6\u95f4，\u518d\u4e58\u4e00\u4e2a\u5b89\u5168\u4f59\u91cf\u3002\u5f88\u591a\u4eba\u53ea\u7b97\u4e86"\u6bcf\u79d2\u53d1\u591a\u5c11\u6761"，\u5374\u6f0f\u4e86\u526f\u672c\u56e0\u5b50（3 \u526f\u672c\u5c31\u662f 3 \u500d\u5b58\u50a8）\u548c\u4fdd\u7559\u65f6\u95f4（7 \u5929\u5c31\u662f 604800 \u79d2）\u3002\u4e0b\u9762\u5b9e\u73b0\u4e00\u4e2a\u5bb9\u91cf\u4f30\u7b97\u5668，\u770b\u4e09\u4e2a\u89c4\u6a21\u6863\u4f4d\u7684\u5b58\u50a8\u3001\u7f51\u7edc\u548c\u5206\u533a\u9700\u6c42\u3002<\/p>\n

def<\/span> capacity_plan<\/span>(<\/span>throughput_per_sec,<\/span> avg_msg_kb,<\/span> replica_factor,<\/span>
\n retention_hours,<\/span> buffer_ratio=<\/span>1.5<\/span>)<\/span>:<\/span>
\n bytes_per_sec =<\/span> throughput_per_sec *<\/span> avg_msg_kb *<\/span> 1024<\/span>
\n storage_gb =<\/span> (<\/span>bytes_per_sec *<\/span> retention_hours *<\/span> 3600<\/span> *<\/span> replica_factor)<\/span> \/<\/span> (<\/span>1024<\/span> **<\/span> 3<\/span>)<\/span>
\n storage_gb *=<\/span> buffer_ratio
\n network_mbps =<\/span> (<\/span>bytes_per_sec *<\/span> replica_factor)<\/span> \/<\/span> (<\/span>1024<\/span> **<\/span> 2<\/span>)<\/span> *<\/span> 8<\/span>
\n per_partition_throughput =<\/span> 50<\/span>
\n partitions =<\/span> max<\/span>(<\/span>1<\/span>,<\/span> round<\/span>(<\/span>throughput_per_sec \/<\/span> per_partition_throughput)<\/span>)<\/span>
\n return<\/span> storage_gb,<\/span> network_mbps,<\/span> partitions<\/p>\n

cases =<\/span> [<\/span>
\n (<\/span>"\u5c0f\u6d41\u91cf"<\/span>,<\/span> 100<\/span>,<\/span> 1<\/span>,<\/span> 3<\/span>,<\/span> 24<\/span>)<\/span>,<\/span>
\n (<\/span>"\u4e2d\u6d41\u91cf"<\/span>,<\/span> 1000<\/span>,<\/span> 2<\/span>,<\/span> 3<\/span>,<\/span> 72<\/span>)<\/span>,<\/span>
\n (<\/span>"\u5927\u6d41\u91cf"<\/span>,<\/span> 10000<\/span>,<\/span> 5<\/span>,<\/span> 3<\/span>,<\/span> 168<\/span>)<\/span>,<\/span>
\n]<\/span>
\nfor<\/span> name,<\/span> tps,<\/span> kb,<\/span> rf,<\/span> rh in<\/span> cases:<\/span>
\n storage,<\/span> net,<\/span> parts =<\/span> capacity_plan(<\/span>tps,<\/span> kb,<\/span> rf,<\/span> rh)<\/span>
\n print<\/span>(<\/span>f"<\/span>{<\/span>name}<\/span><\/span>: tps=<\/span>{<\/span>tps}<\/span><\/span>, msg=<\/span>{<\/span>kb}<\/span><\/span>KB, \u526f\u672c=<\/span>{<\/span>rf}<\/span><\/span>, \u4fdd\u7559=<\/span>{<\/span>rh}<\/span><\/span>h"<\/span><\/span>)<\/span>
\n print<\/span>(<\/span>f" -> \u5b58\u50a8\u2248<\/span>{<\/span>storage:<\/span>.1f<\/span>}<\/span><\/span>GB, \u7f51\u7edc\u2248<\/span>{<\/span>net:<\/span>.1f<\/span>}<\/span><\/span>Mbps, \u5206\u533a\u2248<\/span>{<\/span>parts}<\/span><\/span>"<\/span><\/span>)<\/span><\/p>\n

\u8fd0\u884c\u8f93\u51fa：<\/p>\n

\u5c0f\u6d41\u91cf: tps=100, msg=1KB, \u526f\u672c=3, \u4fdd\u7559=24h
\n -> \u5b58\u50a8\u224837.1GB, \u7f51\u7edc\u22482.3Mbps, \u5206\u533a\u22482
\n\u4e2d\u6d41\u91cf: tps=1000, msg=2KB, \u526f\u672c=3, \u4fdd\u7559=72h
\n -> \u5b58\u50a8\u22482224.7GB, \u7f51\u7edc\u224846.9Mbps, \u5206\u533a\u224820
\n\u5927\u6d41\u91cf: tps=10000, msg=5KB, \u526f\u672c=3, \u4fdd\u7559=168h
\n -> \u5b58\u50a8\u2248129776.0GB, \u7f51\u7edc\u22481171.9Mbps, \u5206\u533a\u2248200<\/p>\n

\u4e09\u4e2a\u6570\u5b57\u66b4\u9732\u4e86\u5bb9\u91cf\u89c4\u5212\u91cc\u6700\u5bb9\u6613\u88ab\u4f4e\u4f30\u7684\u4e24\u70b9\u3002\u4e00\u662f\u526f\u672c\u56e0\u5b50\u7684\u4e58\u6cd5\u6548\u5e94：\u540c\u6837 3 \u526f\u672c，\u5c0f\u6d41\u91cf\u53ea\u9700 37GB，\u5927\u6d41\u91cf\u5374\u8981 126TB，\u5176\u4e2d\u4e09\u5206\u4e4b\u4e8c\u662f\u526f\u672c\u5f00\u9500\u3002\u4e8c\u662f\u4fdd\u7559\u65f6\u95f4\u662f\u9759\u9ed8\u7684\u5b58\u50a8\u6740\u624b：\u4e2d\u6d41\u91cf\u4ece 24h \u63d0\u5230 72h，\u5b58\u50a8\u76f4\u63a5\u7ffb 3 \u500d\u3002\u5206\u533a\u6570\u5219\u8981\u53cd\u8fc7\u6765\u770b\u2014\u2014\u5b83\u51b3\u5b9a\u4e86\u6d88\u8d39\u5e76\u884c\u7684\u4e0a\u9650，\u89c4\u5212\u65f6\u5b81\u53ef\u591a\u7559，\u56e0\u4e3a Kafka \u589e\u52a0\u5206\u533a\u5bb9\u6613\u3001\u51cf\u5c11\u5206\u533a\u56f0\u96be，\u800c\u5206\u533a\u8fc7\u5c11\u4f1a\u5361\u6b7b\u6d88\u8d39\u7ec4\u7684\u6269\u5bb9\u7a7a\u95f4\u3002<\/p>\n

\u5bb9\u91cf\u89c4\u5212\u8fd8\u8981\u548c\u76d1\u63a7\u8054\u52a8：\u89c4\u5212\u51fa\u7684\u6570\u5b57\u8981\u843d\u6210\u544a\u8b66\u9608\u503c（\u78c1\u76d8\u3001\u7f51\u7edc\u3001Lag），\u5426\u5219\u89c4\u5212\u53ea\u662f\u7eb8\u9762\u6570\u5b57\u3002\u4e0b\u4e00\u7bc7\u4f5c\u4e3a\u7cfb\u5217\u6536\u5b98，\u628a\u524d\u9762\u4e5d\u7bc7\u7684\u6240\u6709\u77e5\u8bc6\u70b9\u538b\u7f29\u6210\u4e00\u5f20\u751f\u4ea7\u73af\u5883\u843d\u5730\u6e05\u5355，\u7ed9\u51fa\u4e0a\u7ebf\u524d\u5fc5\u987b\u9010\u9879\u786e\u8ba4\u7684\u68c0\u67e5\u8868\u548c\u6545\u969c\u6f14\u7ec3\u65b9\u6cd5\u3002<\/p>\n

\u4e09\u3001\u66f4\u591a\u6307\u6807\u4e0e\u6269\u5bb9\u7b56\u7565<\/h3>\n

Lag \u548c\u541e\u5410\u662f\u6700\u6838\u5fc3\u7684\u6307\u6807，\u4f46\u8fd8\u4e0d\u591f\u3002\u6d88\u8d39\u5ef6\u8fdf（\u4e00\u6761\u6d88\u606f\u4ece\u751f\u4ea7\u5230\u88ab\u6d88\u8d39\u7684\u65f6\u95f4）\u53cd\u6620\u7684\u662f\u7aef\u5230\u7aef\u4f53\u9a8c，Lag \u76f8\u540c\u4f46\u6d88\u606f\u5927\u5c0f\u4e0d\u540c，\u5ef6\u8fdf\u53ef\u80fd\u5dee\u5f88\u591a；Broker \u8fde\u63a5\u6570\u548c\u7f51\u7edc\u8fde\u63a5\u590d\u7528\u60c5\u51b5\u53cd\u6620\u5ba2\u6237\u7aef\u6709\u6ca1\u6709\u6b63\u786e\u590d\u7528\u8fde\u63a5，\u8fde\u63a5\u6cc4\u6f0f\u4f1a\u6084\u6084\u8017\u5c3d Broker \u7684\u6587\u4ef6\u63cf\u8ff0\u7b26；\u6b7b\u4fe1\u961f\u5217\u7684\u79ef\u538b\u6570\u5219\u53cd\u6620"\u6709\u591a\u5c11\u6d88\u606f\u5728\u53cd\u590d\u5931\u8d25"，\u662f\u4e1a\u52a1\u5065\u5eb7\u5ea6\u7684\u5148\u884c\u6307\u6807\u3002\u8fd9\u4e9b\u6307\u6807\u8981\u96c6\u4e2d\u5230\u7edf\u4e00\u7684\u76d1\u63a7\u770b\u677f（Prometheus + Grafana \u662f\u4e3b\u6d41\u7ec4\u5408），\u5e76\u548c\u544a\u8b66\u89c4\u5219\u7ed1\u5b9a\u3002<\/p>\n

\u544a\u8b66\u7684\u96be\u70b9\u4e0d\u662f\u592a\u5c11\u800c\u662f\u592a\u591a\u3002\u6bcf\u4e2a\u6307\u6807\u90fd\u8bbe\u4e00\u4e2a\u9608\u503c，\u665a\u4e0a\u5c31\u4f1a\u6536\u5230\u4e00\u5806\u6ca1\u4eba\u770b\u7684\u544a\u8b66，\u6700\u540e\u771f\u6b63\u91cd\u8981\u7684\u544a\u8b66\u88ab\u6df9\u6ca1\u3002\u964d\u566a\u7684\u539f\u5219\u662f"\u544a\u8b66\u8981\u53ef\u884c\u52a8"：\u6bcf\u6761\u544a\u8b66\u90fd\u5e94\u8be5\u5bf9\u5e94\u4e00\u4e2a\u660e\u786e\u7684\u5904\u7406\u52a8\u4f5c，\u6ca1\u6709\u5904\u7406\u52a8\u4f5c\u7684\u544a\u8b66\u5c31\u4e0d\u8981\u8bbe，\u6216\u8005\u53ea\u8bb0\u65e5\u5fd7\u3002\u53ef\u4ee5\u7528"\u5206\u7ea7 + \u805a\u5408"：\u4e25\u91cd\u544a\u8b66\u7acb\u5373\u901a\u77e5\u503c\u73ed，\u8f7b\u5fae\u544a\u8b66\u805a\u5408\u5230\u65e5\u62a5，\u8d8b\u52bf\u544a\u8b66\u53ea\u5728\u6301\u7eed\u6076\u5316\u65f6\u89e6\u53d1\u3002<\/p>\n

\u6269\u5bb9\u7b56\u7565\u8981\u548c\u5206\u533a\u6a21\u578b\u5339\u914d\u3002Kafka \u589e\u52a0\u5206\u533a\u5bb9\u6613（\u4f46\u8981\u91cd\u7b97\u54c8\u5e0c，\u53ef\u80fd\u7834\u574f\u987a\u5e8f）\u3001\u51cf\u5c11\u5206\u533a\u56f0\u96be，\u6240\u4ee5\u5206\u533a\u6570\u8981\u6309"\u672a\u6765\u4e00\u4e24\u5e74\u5cf0\u503c"\u63d0\u524d\u89c4\u5212，\u800c\u4e0d\u662f\u6309\u5f53\u524d\u91cf\u8bbe\u3002Broker \u6269\u5bb9\u8981\u5173\u6ce8\u6570\u636e\u518d\u5747\u8861\u2014\u2014\u65b0\u8282\u70b9\u4e0d\u4f1a\u81ea\u52a8\u5206\u62c5\u8001\u8282\u70b9\u7684\u5b58\u50a8，\u9700\u8981\u624b\u52a8\u89e6\u53d1\u5206\u533a\u8fc1\u79fb\u3002\u5bb9\u91cf\u89c4\u5212\u91cc\u8fd8\u8981\u7559\u51fa"\u5cf0\u503c\u500d\u6570"：\u5e73\u65f6 1000 tps，\u5927\u4fc3\u53ef\u80fd\u51b2\u5230 5000 tps，\u5bb9\u91cf\u8981\u6309\u5cf0\u503c\u7b97，\u800c\u4e0d\u662f\u6309\u5e73\u5747\u503c\u7b97，\u5426\u5219\u4e00\u5230\u6d3b\u52a8\u5c31\u5168\u7ebf\u544a\u8b66\u3002<\/p>\n

\u843d\u5730\u5de5\u5177\u4e0a，Kafka \u751f\u6001\u6709 Kafka Exporter\u3001Burrow \u8fd9\u7c7b\u73b0\u6210\u7684\u6307\u6807\u91c7\u96c6\u5668，\u628a Lag\u3001\u541e\u5410\u7b49\u66b4\u9732\u6210 Prometheus \u6307\u6807；RabbitMQ \u5185\u7f6e\u7ba1\u7406\u63d2\u4ef6\u80fd\u5bfc\u51fa\u6307\u6807；RocketMQ \u548c Pulsar \u4e5f\u6709\u5404\u81ea\u7684\u76d1\u63a7\u7ec4\u4ef6\u3002\u4e0d\u8981\u4ece\u96f6\u81ea\u5df1\u9020\u76d1\u63a7，\u5148\u63a5\u73b0\u6210\u7684 exporter，\u518d\u8865\u4e1a\u52a1\u81ea\u5b9a\u4e49\u6307\u6807\u3002\u770b\u677f\u5efa\u8bae\u5206\u4e24\u5c42：\u4e00\u5c42\u7ed9\u8fd0\u7ef4\u770b\u8d44\u6e90（\u78c1\u76d8\u3001\u7f51\u7edc\u3001CPU），\u4e00\u5c42\u7ed9\u4e1a\u52a1\u770b\u5065\u5eb7（Lag\u3001\u5ef6\u8fdf\u3001\u6b7b\u4fe1），\u907f\u514d\u4e24\u62e8\u4eba\u6324\u5728\u540c\u4e00\u5f20\u56fe\u91cc\u4e92\u76f8\u5e72\u6270\u3002<\/p>\n

\u76d1\u63a7\u544a\u8b66\u6700\u540e\u8981\u843d\u5230\u503c\u73ed\u54cd\u5e94\u4e0a：\u544a\u8b66\u53d1\u51fa\u53bb\u6ca1\u4eba\u5904\u7406，\u7b49\u4e8e\u6ca1\u6709\u544a\u8b66\u3002\u6bcf\u7c7b\u544a\u8b66\u90fd\u8981\u6709\u5bf9\u5e94 runbook（\u5904\u7406\u624b\u518c），\u5199\u6e05\u695a"\u8fd9\u6761\u544a\u8b66\u610f\u5473\u7740\u4ec0\u4e48\u3001\u7b2c\u4e00\u6b65\u67e5\u4ec0\u4e48\u3001\u600e\u4e48\u6062\u590d"，\u5426\u5219\u544a\u8b66\u53ea\u4f1a\u53d8\u6210\u566a\u97f3\u3002<\/p>\n

\u53c2\u8003\u6765\u6e90<\/h3>\n