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\r\n# Prometheus monitoring configuration\r\nscrape_configs:\r\n  - job_name: 'server_metrics'\r\n    scrape_interval: 15s\r\n    static_configs:\r\n      - targets: ['server1:9100', 'server2:9100']\r\n    metrics_path: \/metrics\r\n    relabel_configs:\r\n      - source_labels: [__address__]\r\n        target_label: instance\r\n<\/code><\/pre>\n
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\n
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\u6848\u4f8b\u7814\u7a761\uff1a\u96fb\u5b50\u5546\u52d9\u5e73\u53f0<\/h3>\n
\r\n# Traffic Pattern Analysis\r\nPEAK_HOURS = {\r\n    \"start\": \"10:00\",\r\n    \"end\": \"22:00\",\r\n    \"avg_requests\": 5000,\r\n    \"scaling_strategy\": \"horizontal\"\r\n}\r\n\r\n# Auto-scaling trigger configuration\r\nAUTO_SCALE_CONFIG = {\r\n    \"min_instances\": 3,\r\n    \"max_instances\": 12,\r\n    \"scale_up_threshold\": \"cpu > 70% for 3m\",\r\n    \"scale_down_threshold\": \"cpu < 30% for 5m\"\r\n}\r\n<\/code><\/pre>\n
\u6848\u4f8b\u7814\u7a762\uff1a\u6578\u64da\u8655\u7406\u670d\u52d9<\/h3>\n
\r\n# Resource Requirement Analysis\r\nWORKLOAD_PROFILE = {\r\n    \"type\": \"memory_intensive\",\r\n    \"data_processing_batch\": \"5GB\",\r\n    \"scaling_strategy\": \"vertical\",\r\n    \"memory_growth_pattern\": \"linear\"\r\n}\r\n<\/code><\/pre>\n
\u64f4\u5c55\u7b56\u7565\u6c7a\u7b56\u6846\u67b6<\/strong><\/h2>\n
\u8003\u616e\u4ee5\u4e0b\u6280\u8853\u6c7a\u7b56\u6a39\u4f86\u9078\u64c7\u60a8\u7684\u64f4\u5c55\u65b9\u6cd5\uff1a<\/p>\n
\r\ndef determine_scaling_strategy(workload_characteristics):\r\n    if workload_characteristics[\"stateless\"]:\r\n        if workload_characteristics[\"concurrent_users\"] > 1000:\r\n            return \"horizontal_scaling\"\r\n        \r\n    if workload_characteristics[\"memory_intensive\"]:\r\n        if workload_characteristics[\"single_thread_dependent\"]:\r\n            return \"vertical_scaling\"\r\n            \r\n    if workload_characteristics[\"high_availability_required\"]:\r\n        return \"horizontal_scaling\"\r\n        \r\n    return \"evaluate_cost_benefits\"\r\n<\/code><\/pre>\n
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\n
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\u5c0d\u65bc\u7ba1\u7406\u65e5\u76ca\u589e\u9577\u5de5\u4f5c\u8ca0\u8f09\u7684DevOps\u5718\u968a\u4f86\u8aaa\uff0c\u64f4\u5c55\u4f3a\u670d\u5668\u57fa\u790e\u8a2d\u65bd\u662f\u4e00\u500b\u95dc\u9375\u7684\u6c7a\u7b56\u9ede\u3002\u7121\u8ad6\u60a8\u662f\u5728\u9999\u6e2f\u8cc7\u6599\u4e2d\u5fc3\u904b […]<\/p>\n
Read More…<\/a><\/p>\n","protected":false},"author":3,"featured_media":21123,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[61],"tags":[5607,5609,5608,3649,3655,247],"class_list":["post-21127","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-hong-kong-dedicated-server-tc","tag-server-scaling-tc","tag-vertical-scaling-tc","tag-horizontal-scaling-tc","tag-server-architecture","tag-3655","tag-hong-kong-server-rental-tc"],"acf":[],"yoast_head":"\n