\u5728\u9999\u6e2f\u8a2d\u7f6e\u6578\u64da\u5132\u5b58\u4f3a\u670d\u5668<\/a>\u6642\uff0c\u78ba\u5b9a\u6700\u4f73\u8a18\u61b6\u9ad4\u914d\u7f6e\u5c0d\u65bc\u7dad\u6301\u5c16\u5cf0\u6548\u80fd\u81f3\u95dc\u91cd\u8981\u3002\u7121\u8ad6\u60a8\u662f\u904b\u71df\u4f3a\u670d\u5668\u79df\u7528<\/a>\u670d\u52d9\u9084\u662f\u7ba1\u7406\u4f3a\u670d\u5668\u8a17\u7ba1\u57fa\u790e\u8a2d\u65bd\uff0cRAM\u8981\u6c42\u90fd\u6703\u986f\u8457\u5f71\u97ff\u4f3a\u670d\u5668\u7684\u6548\u7387\u548c\u53ef\u9760\u6027\u3002<\/p>\n \u9999\u6e2f\u6578\u64da\u4e2d\u5fc3\u7684\u73fe\u4ee3\u5132\u5b58\u4f3a\u670d\u5668\u901a\u5e38\u4ee58GB RAM\u4f5c\u70ba\u57fa\u6e96\u3002\u4f46\u662f\uff0c\u9019\u500b\u6578\u5b57\u53ef\u80fd\u6703\u6839\u64da\u60a8\u7684\u5177\u9ad4\u4f7f\u7528\u5834\u666f\u800c\u767c\u751f\u5de8\u5927\u8b8a\u5316\u3002\u8b93\u6211\u5011\u900f\u904e\u6aa2\u67e5\u57fa\u672c\u7d44\u4ef6\u7684\u8a18\u61b6\u9ad4\u6d88\u8017\u4f86\u5206\u89e3\u57fa\u672c\u8981\u6c42\uff1a<\/p>\n \u5132\u5b58\u4f3a\u670d\u5668\u7684\u5be6\u969b\u8a18\u61b6\u9ad4\u9700\u6c42\u53d6\u6c7a\u65bc\u5e7e\u500b\u6280\u8853\u56e0\u7d20\uff1a<\/p>\n \u4f8b\u5982\uff0c\u5982\u679c\u60a8\u57f7\u884cZFS\u6a94\u6848\u7cfb\u7d71\uff0c\u4e00\u822c\u7d93\u9a57\u6cd5\u5247\u9075\u5faa\u4ee5\u4e0b\u516c\u5f0f\uff1a<\/p>\n \u8b93\u6211\u5011\u6839\u64da\u5be6\u969b\u5834\u666f\u6aa2\u67e5\u5177\u9ad4\u8a18\u61b6\u9ad4\u8981\u6c42\uff1a<\/p>\n 1. \u5c0f\u578b\u4f01\u696d\u6a94\u6848\u5132\u5b58(8-16GB)<\/strong><\/p>\n – \u6587\u4ef6\u7ba1\u7406\u7cfb\u7d71<\/p>\n – \u5718\u968a\u5354\u4f5c\u5e73\u53f0<\/p>\n – \u57fa\u672c\u5099\u4efd\u89e3\u6c7a\u65b9\u6848<\/p>\n 2. \u4e2d\u578b\u4f01\u696d\u5132\u5b58(16-32GB)<\/strong><\/p>\n – \u8cc7\u6599\u5eab\u4f3a\u670d\u5668<\/p>\n – \u5167\u5bb9\u5206\u767c\u7cfb\u7d71<\/p>\n – \u591a\u79df\u6236\u5132\u5b58\u89e3\u6c7a\u65b9\u6848<\/p>\n 3. \u5927\u898f\u6a21\u5132\u5b58\u904b\u71df(32GB+)<\/strong><\/p>\n – \u5927\u6578\u64da\u8655\u7406<\/p>\n – \u9ad8\u6548\u80fd\u904b\u7b97<\/p>\n – \u96f2\u7aef\u5132\u5b58\u63d0\u4f9b\u5546<\/p>\n \u5be6\u65bd\u9069\u7576\u7684\u76e3\u63a7\u5c0d\u65bc\u6700\u4f73\u8a18\u61b6\u9ad4\u7ba1\u7406\u81f3\u95dc\u91cd\u8981\u3002\u4ee5\u4e0b\u662f\u4f7f\u7528Python\u7684\u5be6\u7528\u76e3\u63a7\u8173\u672c\u793a\u4f8b\uff1a<\/p>\n \u5728\u8003\u616e\u9999\u6e2f\u5132\u5b58\u4f3a\u670d\u5668\u7684\u8a18\u61b6\u9ad4\u5347\u7d1a\u6642\uff0c\u8981\u8003\u616e\u9019\u4e9b\u6280\u8853\u65b9\u9762\uff1a<\/p>\n \u4ee5\u4e0b\u662f\u6548\u80fd\u6bd4\u8f03\u77e9\u9663\uff1a<\/p>\n \u5728\u898f\u5283\u9999\u6e2f\u4f3a\u670d\u5668\u79df\u7528\u6216\u4f3a\u670d\u5668\u8a17\u7ba1\u8a2d\u7f6e\u6642\uff0c\u8003\u616e\u4ee5\u4e0bROI\u8a08\u7b97\uff1a<\/p>\n \u8a18\u61b6\u9ad4\u76f8\u95dc\u554f\u984c\u6703\u986f\u8457\u5f71\u97ff\u5132\u5b58\u6548\u80fd\u3002\u4ee5\u4e0b\u662f\u8a3a\u65b7\u65b9\u6cd5\uff1a<\/p>\n 1. \u76e3\u63a7\u8a18\u61b6\u9ad4\u4f7f\u7528\u6a21\u5f0f<\/p>\n 2. \u6aa2\u67e5\u8a18\u61b6\u9ad4\u6d29\u6f0f<\/p>\n 3. \u5206\u6790\u4ea4\u63db\u7a7a\u9593\u4f7f\u7528\u60c5\u6cc1<\/p>\n 4. \u5be9\u67e5\u61c9\u7528\u7a0b\u5f0f\u8a18\u61b6\u9ad4\u5206\u914d<\/p>\n \u9577\u671f\u8a18\u61b6\u9ad4\u898f\u5283\u9700\u8003\u616e\u9019\u4e9b\u56e0\u7d20\uff1a<\/p>\n \u70ba\u9999\u6e2f\u6578\u64da\u5132\u5b58\u4f3a\u670d\u5668\u9078\u64c7\u6b63\u78ba\u7684\u8a18\u61b6\u9ad4\u914d\u7f6e\u9700\u8981\u4ed4\u7d30\u8003\u616e\u5404\u7a2e\u6280\u8853\u56e0\u7d20\u3002\u7121\u8ad6\u60a8\u662f\u8a2d\u7f6e\u4f3a\u670d\u5668\u79df\u7528\u74b0\u5883\u9084\u662f\u7ba1\u7406\u4f3a\u670d\u5668\u8a17\u7ba1\u670d\u52d9\uff0c\u9069\u7576\u7684\u8a18\u61b6\u9ad4\u898f\u5283\u90fd\u80fd\u78ba\u4fdd\u6700\u4f73\u6548\u80fd\u548c\u53ef\u64f4\u5c55\u6027\u3002\u5b9a\u671f\u76e3\u63a7\u3001\u7b56\u7565\u6027\u5347\u7d1a\u548c\u672a\u4f86\u898f\u5283\u8003\u616e\u5c07\u6709\u52a9\u65bc\u5728\u5132\u5b58\u9700\u6c42\u767c\u5c55\u904e\u7a0b\u4e2d\u4fdd\u6301\u9ad8\u6548\u904b\u71df\u3002<\/p>\n","protected":false},"excerpt":{"rendered":" \u5728\u9999\u6e2f\u8a2d\u7f6e\u6578\u64da\u5132\u5b58\u4f3a\u670d\u5668\u6642\uff0c\u78ba\u5b9a\u6700\u4f73\u8a18\u61b6\u9ad4\u914d\u7f6e\u5c0d\u65bc\u7dad\u6301\u5c16\u5cf0\u6548\u80fd\u81f3\u95dc\u91cd\u8981\u3002\u7121\u8ad6\u60a8\u662f\u904b\u71df\u4f3a\u670d\u5668\u79df\u7528\u670d\u52d9\u9084\u662f\u7ba1\u7406\u4f3a\u670d […]<\/p>\n\u9999\u6e2f\u5132\u5b58\u4f3a\u670d\u5668\u7684\u57fa\u672c\u8a18\u61b6\u9ad4\u8981\u6c42<\/strong><\/h2>\n
\r\n# \u57fa\u790e\u5132\u5b58\u4f3a\u670d\u5668\u7684\u8a18\u61b6\u9ad4\u5206\u914d\u793a\u4f8b\r\n\u4f5c\u696d\u7cfb\u7d71\uff1a2GB\r\n\u6a94\u6848\u7cfb\u7d71\u5feb\u53d6\uff1a2GB\r\n\u5132\u5b58\u7ba1\u7406\u670d\u52d9\uff1a1GB\r\n\u76e3\u63a7\u5de5\u5177\uff1a0.5GB\r\n\u7cfb\u7d71\u7a0b\u5e8f\uff1a0.5GB\r\n\u53ef\u7528\u65bc\u5132\u5b58\u64cd\u4f5c\uff1a2GB\r\n----------------------------\r\n\u6700\u5c0f\u7e3d\u8a08\uff1a8GB RAM\r\n<\/code><\/pre>\n\u5f71\u97ff\u8a18\u61b6\u9ad4\u8981\u6c42\u7684\u95dc\u9375\u56e0\u7d20<\/strong><\/h2>\n
\n
\r\n# ZFS RAM\u8a08\u7b97\r\n\u6700\u5c0fRAM = (\u5132\u5b58\u6c60\u5927\u5c0f \/ 1TB) * 1GB + 4GB\u57fa\u790e\u7cfb\u7d71RAM\r\n10TB\u5132\u5b58\u793a\u4f8b\uff1a\r\n10 * 1GB + 4GB = 14GB\u6700\u5c0fRAM\r\n\u5efa\u8b70\u503c = \u6700\u5c0fRAM * 1.5 = 21GB\r\n<\/code><\/pre>\n\u4e0d\u540c\u4f7f\u7528\u5834\u666f\u7684\u8a18\u61b6\u9ad4\u914d\u7f6e<\/strong><\/h2>\n
\u6548\u80fd\u512a\u5316\u548c\u76e3\u63a7<\/strong><\/h2>\n
\r\nimport psutil\r\nimport time\r\n\r\ndef monitor_memory_usage():\r\n while True:\r\n memory = psutil.virtual_memory()\r\n print(f\"\"\"\r\n \u7e3d\u8a18\u61b6\u9ad4: {memory.total \/ (1024**3):.2f} GB\r\n \u5df2\u7528\u8a18\u61b6\u9ad4: {memory.used \/ (1024**3):.2f} GB\r\n \u8a18\u61b6\u9ad4\u4f7f\u7528\u7387: {memory.percent}%\r\n \"\"\")\r\n time.sleep(60)\r\n\r\nif __name__ == \"__main__\":\r\n monitor_memory_usage()\r\n<\/code><\/pre>\n\u8a18\u61b6\u9ad4\u5347\u7d1a\u8003\u616e\u56e0\u7d20<\/strong><\/h2>\n
\n
\r\n\u8a18\u61b6\u9ad4\u914d\u7f6e\u6548\u80fd\u5f71\u97ff\r\n\u55ae\u901a\u9053\uff1a\u57fa\u6e96\u6548\u80fd\r\n\u96d9\u901a\u9053\uff1a\u7d041.5\u500d\u6548\u80fd\r\n\u56db\u901a\u9053\uff1a\u7d041.8\u500d\u6548\u80fd\r\n\u6bcf100MHz\u6642\u8108\u901f\u5ea6\u5f71\u97ff\uff1a\u7d042-3%\u6548\u80fd\r\n<\/code><\/pre>\n\u6210\u672c\u6548\u76ca\u5206\u6790<\/strong><\/h2>\n
\r\n\u5e74\u5ea6ROI = (\u6548\u80fd\u63d0\u5347 * \u5de5\u4f5c\u8ca0\u8f09\u50f9\u503c - \u8a18\u61b6\u9ad4\u6210\u672c) \/ \u8a18\u61b6\u9ad4\u6210\u672c * 100\r\n\r\n\u793a\u4f8b\uff1a\r\n\u6548\u80fd\u63d0\u5347\uff1a30%\r\n\u5de5\u4f5c\u8ca0\u8f09\u50f9\u503c\uff1a50,000\u5143\/\u5e74\r\n\u8a18\u61b6\u9ad4\u5347\u7d1a\u6210\u672c\uff1a2,000\u5143\r\nROI = (0.3 * 50000 - 2000) \/ 2000 * 100 = 650%\r\n<\/code><\/pre>\n\u5e38\u898b\u8a18\u61b6\u9ad4\u554f\u984c\u6545\u969c\u6392\u9664<\/strong><\/h2>\n
\u8a18\u61b6\u9ad4\u914d\u7f6e\u7684\u672a\u4f86\u898f\u5283<\/strong><\/h2>\n
\n
\u7d50\u8ad6<\/strong><\/h2>\n