[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"academy-blogs-en-1-1-all-go-websocket-log-analysis-after-stress-testing-ep30-all--*":3,"academy-blog-faqs-h91k0ln9qqrq06q-en":146,"academy-blog-translations-h91k0ln9qqrq06q":147},{"data":4,"page":132,"perPage":132,"totalItems":132,"totalPages":132},[5],{"alt":6,"collectionId":7,"collectionName":8,"content":9,"cover_image":10,"cover_image_l_url":11,"cover_image_m_url":12,"cover_image_path":13,"cover_image_s_url":14,"created":15,"created_by":16,"expand":17,"id":140,"keywords":141,"locale":112,"published_at":142,"scheduled_at":120,"school_blog":136,"short_description":143,"status":134,"title":6,"updated":144,"updated_by":145,"slug":137,"views":139},"Ep.30 Go and Log Analysis After Stress Testing - Enhancing Your System!","sclblg987654321","school_blog_translations","\u003Cp class=\"p1\">\u003Cstrong>Go and Log Analysis After Stress Testing - Enhancing Your System!\u003C\u002Fstrong>\u003C\u002Fp>\u003Cp class=\"p2\"> \u003C\u002Fp>\u003Cp class=\"p3\">In this episode, we will explore how to analyze logs and results from stress testing to identify bottlenecks in your WebSocket system, along with solutions to improve system performance!\u003C\u002Fp>\u003Cp class=\"p4\"> \u003C\u002Fp>\u003Cp class=\"p3\">\u003Cstrong>Why Analyze Logs After Stress Testing?\u003C\u002Fstrong>\u003C\u002Fp>\u003Cp class=\"p3\">Logs are crucial data sources that help us :\u003C\u002Fp>\u003Col class=\"ol1\">\u003Cli class=\"li3\">Understand issues that arise, such as dropped connections or failed message deliveries.\u003C\u002Fli>\u003Cli class=\"li3\">Identify overutilized resources, such as CPU, RAM, or network.\u003C\u002Fli>\u003Cli class=\"li3\">Plan system improvements to accommodate more users.\u003C\u002Fli>\u003C\u002Fol>\u003Cp class=\"p4\"> \u003C\u002Fp>\u003Cp class=\"p3\">\u003Cstrong>Types of Logs to Check\u003C\u002Fstrong>\u003C\u002Fp>\u003Cp class=\"p3\">1. Connection Log : Check the number of successful and failed connections.\u003C\u002Fp>\u003Cp class=\"p3\">2. Latency Log : Analyze the time taken to respond to requests.\u003C\u002Fp>\u003Cp class=\"p3\">3. Error Log : Review errors, such as disconnections or undeliverable messages.\u003C\u002Fp>\u003Cp class=\"p3\">4. Resource Log : Monitor resource usage, such as CPU, RAM, and bandwidth.\u003C\u002Fp>\u003Cp class=\"p4\"> \u003C\u002Fp>\u003Cp class=\"p3\">\u003Cstrong>Example of Log Analysis in Go\u003C\u002Fstrong>\u003C\u002Fp>\u003Cp class=\"p3\">1. Increase Logging in WebSocket Server\u003C\u002Fp>\u003Cp class=\"p3\">In this example :\u003C\u002Fp>\u003Cp class=\"p3\">Log connections when new connections are made and when they end.\u003C\u002Fp>\u003Cp class=\"p3\">Log errors and messages received from users.\u003C\u002Fp>\u003Cpre>\u003Ccode class=\"language-plaintext\">package main\n\nimport (\n    \"log\"\n    \"net\u002Fhttp\"\n\n    \"github.com\u002Fgorilla\u002Fwebsocket\"\n)\n\nvar upgrader = websocket.Upgrader{\n    CheckOrigin: func(r *http.Request) bool {\n        return true\n    },\n}\n\nfunc handleConnections(w http.ResponseWriter, r *http.Request) {\n    conn, err := upgrader.Upgrade(w, r, nil)\n    if err != nil {\n        log.Printf(\"Error upgrading connection: %v\", err)\n        return\n    }\n    defer conn.Close()\n\n    log.Printf(\"New client connected: %s\", r.RemoteAddr)\n\n    for {\n        _, msg, err := conn.ReadMessage()\n        if err != nil {\n            log.Printf(\"Error reading message from %s: %v\", r.RemoteAddr, err)\n            break\n        }\n        log.Printf(\"Received from %s: %s\", r.RemoteAddr, msg)\n\n        if err := conn.WriteMessage(websocket.TextMessage, msg); err != nil {\n            log.Printf(\"Error writing message to %s: %v\", r.RemoteAddr, err)\n            break\n        }\n    }\n\n    log.Printf(\"Client disconnected: %s\", r.RemoteAddr)\n}\n\nfunc main() {\n    http.HandleFunc(\"\u002Fws\", handleConnections)\n    log.Println(\"WebSocket server started at :8080\")\n    log.Fatal(http.ListenAndServe(\":8080\", nil))\n}\u003C\u002Fcode>\u003C\u002Fpre>\u003Cp> \u003C\u002Fp>\u003Cp class=\"p3\">2. Use a Log Analyzer for Analysis\u003C\u002Fp>\u003Cp class=\"p3\">You can utilize tools like ELK Stack (Elasticsearch, Logstash, Kibana) to collect and analyze logs :\u003C\u002Fp>\u003Cp class=\"p3\">Elasticsearch : Stores log data.\u003C\u002Fp>\u003Cp class=\"p3\">Logstash : Sends data from the WebSocket server to Elasticsearch.\u003C\u002Fp>\u003Cp class=\"p3\">Kibana : Displays logs graphically.\u003C\u002Fp>\u003Cp class=\"p4\"> \u003C\u002Fp>\u003Cp class=\"p3\">\u003Cstrong>Troubleshooting After Log Analysis\u003C\u002Fstrong>\u003C\u002Fp>\u003Cp class=\"p3\">1. Failed Connection Issues\u003C\u002Fp>\u003Cp class=\"p3\">Causes :\u003C\u002Fp>\u003Cul class=\"ul1\">\u003Cli class=\"li3\">Server full (Connection Limit).\u003C\u002Fli>\u003Cli class=\"li3\">High Network Latency.\u003C\u002Fli>\u003C\u002Ful>\u003Cp class=\"p3\">Solutions :\u003C\u002Fp>\u003Cul class=\"ul1\">\u003Cli class=\"li3\">Increase the number of WebSocket servers in the cluster.\u003C\u002Fli>\u003Cli class=\"li3\">Adjust the ulimit on the server.\u003C\u002Fli>\u003C\u002Ful>\u003Cpre>\u003Ccode class=\"language-plaintext\">ulimit -n 65535\n \u003C\u002Fcode>\u003C\u002Fpre>\u003Cp class=\"p3\">2. High Latency\u003C\u002Fp>\u003Cp class=\"p3\">Causes :\u003C\u002Fp>\u003Cul class=\"ul1\">\u003Cli class=\"li3\">Time-consuming message processing.\u003C\u002Fli>\u003Cli class=\"li3\">Server overloaded.\u003C\u002Fli>\u003C\u002Ful>\u003Cp class=\"p3\">Solutions :\u003C\u002Fp>\u003Cul class=\"ul1\">\u003Cli class=\"li3\">Use a Worker Pool to distribute processing.\u003C\u002Fli>\u003Cli class=\"li3\">Review and optimize code in resource-intensive areas, such as database access.\u003C\u002Fli>\u003C\u002Ful>\u003Cp class=\"p2\"> \u003C\u002Fp>\u003Cp class=\"p3\">3. Message Sending Errors\u003C\u002Fp>\u003Cp class=\"p3\">Causes :\u003C\u002Fp>\u003Cul class=\"ul1\">\u003Cli class=\"li3\">Dropped connections.\u003C\u002Fli>\u003Cli class=\"li3\">Sending messages to unresponsive clients.\u003C\u002Fli>\u003C\u002Ful>\u003Cp class=\"p3\">Solutions :\u003C\u002Fp>\u003Cul class=\"ul1\">\u003Cli class=\"li3\">Increase timeout for message sending.\u003C\u002Fli>\u003C\u002Ful>\u003Cpre>\u003Ccode class=\"language-plaintext\">conn.SetWriteDeadline(time.Now().Add(10 * time.Second))\u003C\u002Fcode>\u003C\u002Fpre>\u003Cul class=\"ul1\">\u003Cli class=\"li3\">Use ping\u002Fpong to check connection health.\u003C\u002Fli>\u003C\u002Ful>\u003Cpre>\u003Ccode class=\"language-plaintext\">conn.SetPingHandler(func(appData string) error {\n    log.Println(\"Ping received\")\n    return conn.WriteControl(websocket.PongMessage, []byte(appData), time.Now().Add(10*time.Second))\n})\u003C\u002Fcode>\u003C\u002Fpre>\u003Cp class=\"p2\"> \u003C\u002Fp>\u003Cp class=\"p3\">4. Overutilized Resources\u003C\u002Fp>\u003Cp class=\"p3\">Causes :\u003C\u002Fp>\u003Cul class=\"ul1\">\u003Cli class=\"li3\">Excessive number of connections.\u003C\u002Fli>\u003Cli class=\"li3\">Lack of load balancing.\u003C\u002Fli>\u003C\u002Ful>\u003Cp class=\"p3\">Solutions :\u003C\u002Fp>\u003Cul class=\"ul1\">\u003Cli class=\"li3\">Use a Load Balancer like NGINX or Kubernetes.\u003C\u002Fli>\u003Cli class=\"li3\">Check Redis Pub\u002FSub usage to reduce redundant processing.\u003C\u002Fli>\u003C\u002Ful>\u003Cp class=\"p3\">Post-Improvement Review. After resolving issues, perform stress testing again and compare results :\u003C\u002Fp>\u003Cul class=\"ul1\">\u003Cli class=\"li3\">Has latency decreased?\u003C\u002Fli>\u003Cli class=\"li3\">Has the number of successful connections increased?\u003C\u002Fli>\u003Cli class=\"li3\">Has resource usage decreased?\u003C\u002Fli>\u003C\u002Ful>\u003Cp class=\"p4\"> \u003C\u002Fp>\u003Cp class=\"p3\">\u003Cstrong>Summary\u003C\u002Fstrong>\u003C\u002Fp>\u003Cul class=\"ul2\">\u003Cli class=\"li3\">Analyze logs to troubleshoot issues like failed connections or high latency.\u003C\u002Fli>\u003Cli class=\"li3\">Use tools like ELK Stack or Kibana for analysis.\u003C\u002Fli>\u003Cli class=\"li3\">Enhance the system using load balancers, worker pools, and timeout settings.\u003C\u002Fli>\u003C\u002Ful>\u003Cp class=\"p4\"> \u003C\u002Fp>\u003Cp class=\"p3\">\u003Cstrong>Fun Activity\u003C\u002Fstrong>\u003C\u002Fp>\u003Cp class=\"p3\">Try using the ELK Stack to analyze logs from your WebSocket server and create a graph showing average latency over time!\u003C\u002Fp>","30_11zon_bjnctegz01.webp","https:\u002F\u002Ftwsme-r2.tumwebsme.com\u002Fsclblg987654321\u002F1fu05b1cxz1ddr2\u002Fl\u002F30_11zon_bjnctegz01.webp","https:\u002F\u002Ftwsme-r2.tumwebsme.com\u002Fsclblg987654321\u002F1fu05b1cxz1ddr2\u002Fm\u002F30_11zon_bjnctegz01.webp","https:\u002F\u002Ftwsme-r2.tumwebsme.com\u002Fsclblg987654321\u002F1fu05b1cxz1ddr2\u002F30_11zon_bjnctegz01.webp","https:\u002F\u002Ftwsme-r2.tumwebsme.com\u002Fsclblg987654321\u002F1fu05b1cxz1ddr2\u002Fs\u002F30_11zon_bjnctegz01.webp","2026-03-04 08:51:41.713Z","76qprkevbgfdps8",{"keywords":18,"locale":106,"school_blog":116},[19,26,31,36,41,46,51,56,61,66,71,76,81,86,91,96,101],{"collectionId":20,"collectionName":21,"created":22,"created_by":16,"id":23,"name":24,"updated":25,"updated_by":16},"sclkey987654321","school_keywords","2026-03-04 08:20:11.547Z","ey3puyme01a9bsw","Go","2026-06-07 06:45:07.798Z",{"collectionId":20,"collectionName":21,"created":27,"created_by":16,"id":28,"name":29,"updated":30,"updated_by":16},"2026-03-04 08:33:59.315Z","btmgtfwmgpke1aa","Go language","2026-06-07 06:45:55.046Z",{"collectionId":20,"collectionName":21,"created":32,"created_by":16,"id":33,"name":34,"updated":35,"updated_by":16},"2026-03-04 08:20:14.253Z","ah6lvy4x8qe08l5","Golang","2026-06-07 06:45:08.193Z",{"collectionId":20,"collectionName":21,"created":37,"created_by":16,"id":38,"name":39,"updated":40,"updated_by":16},"2026-03-04 08:51:39.840Z","mq2qomzo7pfa5a9","log analysis","2026-06-07 06:48:52.249Z",{"collectionId":20,"collectionName":21,"created":42,"created_by":16,"id":43,"name":44,"updated":45,"updated_by":16},"2026-03-04 08:34:00.521Z","44l3qn47xjhwgf8","Stress Testing","2026-06-07 06:45:55.545Z",{"collectionId":20,"collectionName":21,"created":47,"created_by":16,"id":48,"name":49,"updated":50,"updated_by":16},"2026-03-04 08:34:02.872Z","xntux9h6g6sr5zv","Bottlenecks","2026-06-07 06:45:56.598Z",{"collectionId":20,"collectionName":21,"created":52,"created_by":16,"id":53,"name":54,"updated":55,"updated_by":16},"2026-03-04 08:34:00.920Z","ecac9y661or1xka","WebSocket","2026-06-07 06:45:55.734Z",{"collectionId":20,"collectionName":21,"created":57,"created_by":16,"id":58,"name":59,"updated":60,"updated_by":16},"2026-03-04 08:51:40.755Z","wk58vmuon13nwlu","performance improvement","2026-06-07 06:48:52.673Z",{"collectionId":20,"collectionName":21,"created":62,"created_by":16,"id":63,"name":64,"updated":65,"updated_by":16},"2026-03-04 08:51:41.189Z","6gbye103g40ndn4","data analysis","2026-06-07 06:48:52.765Z",{"collectionId":20,"collectionName":21,"created":67,"created_by":16,"id":68,"name":69,"updated":70,"updated_by":16},"2026-03-04 08:32:51.346Z","tmzmy6jyz1n35rr","Go Programming","2026-06-07 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15:42:46.825Z",{"category":117,"collectionId":118,"collectionName":119,"created":120,"expand":121,"id":136,"slug":137,"updated":138,"views":139},"wqxt7ag2gn7xcmk","pbc_2105096300","school_blogs","",{"category":122},{"blogIds":123,"collectionId":124,"collectionName":125,"created":126,"created_by":16,"id":117,"image":127,"image_alt":120,"image_path":128,"image_s_url":129,"label":130,"name":131,"priority":132,"publish_at":133,"scheduled_at":120,"status":134,"updated":135,"updated_by":16},[],"sclcatblg987654321","school_category_blogs","2026-03-04 08:33:53.210Z","59ty92ns80w_15oc1implw_bj2o4tjgh4.webp","https:\u002F\u002Ftwsme-r2.tumwebsme.com\u002Fsclcatblg987654321\u002Fwqxt7ag2gn7xcmk\u002F59ty92ns80w_15oc1implw_bj2o4tjgh4.webp","https:\u002F\u002Ftwsme-r2.tumwebsme.com\u002Fsclcatblg987654321\u002Fwqxt7ag2gn7xcmk\u002Fs\u002F59ty92ns80w_15oc1implw_bj2o4tjgh4.webp",{"en":131,"th":131},"Golang The Series",1,"2026-03-16 04:39:38.440Z","published","2026-08-18 14:48:36.739Z","h91k0ln9qqrq06q","go-websocket-log-analysis-after-stress-testing-ep30","2026-10-20 08:35:39.323Z",292,"1fu05b1cxz1ddr2",[23,28,33,38,43,48,53,58,63,68,73,78,83,88,93,98,103],"2025-01-27 04:43:14.866Z","Learn how to analyze logs and results from stress testing to identify bottlenecks in your WebSocket system, along with solutions to improve system performance.","2026-09-25 07:54:15.180Z","ebkf8ra4nd55ual",[],{"th":137,"en":137}]