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ç¶æ³ç¢ºèª ã¡ãªã¿ã« RRD ã¸ã® Read/Write ãåå ã§ããã©ã¼ãã³ã¹ã«åé¡ãã§ã¦ããå ´åã"I/Oå¦çå¾ ã¡" ç¶æ ã«ãªã£ã¦ããã¯ãã§ãã Gangliaã§ã·ã¹ãã ã¢ãã¿ãªã³ã° ã¨åæ§ã®ã¤ã³ã¹ãã¼ã«æé ãè¡ã£ãå ´åãGanglia-Server èªä½ãã¡ããªãã¯ã®åé対象ã«ãªã£ã¦ããã¯ãã§ãããI/Oå¦çå¾ ã¡ç¶æ ã常æ åãã㨠cpu_wio ã®å¤ã¯ä»¥ä¸ã®ããã«ãªãã¾ãã â»ç£è¦å¯¾è±¡ã§ãªãå ´å vmstat ã sar ã³ãã³ãã«ã¦I/Oå¾ ã¡ç¶æ ã«ããã確èªã§ãã¾ãã iotop ã«ããç¢ºèª I/Oå¦çå¾ ã¡ã§ããäºã確èªã§ããå ´åãã©ã®ããã»ã¹ã®ãã£ã¹ã¯I/Oã«ãããã®ã辺ããä»ããäºãã§ããã°ãªãè¯ãã§ãããã /proc/<PID>/io ãã I/Oæ å ±ãåå¾/解æããã¨ãã£ãæ¹æ³ãããããã§ãããtop ã³ãã³ãã®I/Oçã¨ããã iotop ã³ãã³ããããã®ã§ããããå©ç¨
nekokakãããå¼ãã§ã7/13(å)ã«Kyoto.pm 05 Tech Talkãéå¬ãã¾ãï¼ï¼ï¼ï¼ï¼ - $shibayu36->blog; Kyoto.pm 05ã§èªä½ã®ãµã¼ããªã½ã¼ã¹å¯è¦åãã¼ã«ã«ã¤ãã¦20åãããããã¹ãã¾ããã ç°¡åã«ããã¨ãæ¢åã®ãµã¼ããªã½ã¼ã¹å¯è¦åãã¼ã«ã®ãµãã·ã¹ãã ã¨ãã¦åå¥ã«å®è£ ããã¦ããã§ãããRRDtoolå¨ãã®å¦çãæ±ç¨åãããã®ã§ãã Monitorelã¨å¼ãã§ã¾ãã ã¾ã ã¡ããã¨ãããããã¯ãã«ã¯ãªã£ã¦ãã¾ããã Proof Of Conceptã§ãã ã¹ã©ã¤ãã¯ãããªæãã§ãã ãªã«ãRRDtoolã ã ãã¼ã¯ææ³ ä»æ¥ã¯JPAæ´¾é£è¬å¸«ã¨ãã¦nekokakããã«æ¥ã¦ããã ãã¦ãã¾ããã åæ£åJob Queueã·ã¹ãã ã®Clutchã®ã話ã§ããã ã©ãããããã¨ããããã¾ããã ãã¨Tengã¨ãQudoã¨ããã¤ããä¸è©±ã«ãªã£ã¦ãã¾ãã ã
RRDtoolã®ä¸çã«ãããã çºè¡¨è³æãæ ¼ç´ãã¦ãããµã¼ãã天ã«å¬ãããã®ã§ãç½®ãå ´ãå¤æ´ãã¾ããã ãªãkeynoteã§è³æãä½æãã¾ããããkeynoteã®ãã¼ã¿ã¯èªå® ã®ããã¯ãæ´æ¹ããéã«ãã¹ããã模æ§ã§ã(æ³£) RRDtool 1.0ç³»ã®èª¬æã§ããRRDtoolã使ã 1.1ç(pdf/1.2MB) ãã¨ã¯ç¤¾å æå¿ã®çºè¡¨ãã¿ã§ä½æãããããCBUG(西æ±äº¬BSDã¦ã¼ã¶ã¼ãºã°ã«ã¼ã)ã® 15th meeting(2005.6.25)ã§å ¬éãããã®ã§ãã RRDtool1.0ç³»ã®ãªãã·ã§ã³ãã²ã¨ã¨ãããã§ãã¯ãã¦ãã¾ãã ã©ã¤ã»ã³ã¹ã¯ã¯ãªã¨ã¤ãã£ãã³ã¢ã³ãºCC BYã«å¾ãã¾ãã RRDtool 1.2ç³»ã®èª¬æã§ããRRDtool 1.2ç³»ã使ã 1.0ç(pdf/1.6MB) å ã®è³æãæ¹çãããã®ã§ããJUS(æ¥æ¬UNIXã¦ã¼ã¶ä¼)ã®2005.10.14ã«éå¬ãããåå¼·ä¼
æç³»åãã¼ã¿ã®å¯è¦åã§ä½¿ãããå¤åã®ãã¼ã«ã«ãRRDtoolã¨ãããã®ãããã¾ããããã¯Cactiã¨ãMuninã¨ãã§ä½¿ããã¦ããã®ã§ï¼Zabbixã¯ãªããå¥ãããï¼ãååã«èãè¦ãã¯ãªãã¦ãããããæãã®ã°ã©ãã¯ã¿ããã¨ãããã¨ãã人ããã£ããããã§ãããã ããæè¿ã¯è¦ãç®ã®ã¤ã±ã¦ãªããçç±ã«ãGraphiteç³»ã®ãã¤ã使ãã²ã¨ãå¤ãã¨æãã¾ãã ãããªæãã§Graphiteãåªå¢ãªä¸ã®ä¸ã§ãããRRDtoolã®æ¹ãæ£ç¢ºã ããã¨ããè¨äºãè¦ã¤ããã®ã§ãèªãã§èª¿ã¹ããã¨ãã¡ã¢ã ç¾å®ã¯çããªããçãªåç½®ã A time series is most often described as a sequence of (time, value) tuples [1]. The most naive method of recording a time series is to store t
RRDtoolã§ãç°å¸¸æ¤ç¥æ©è½ãåãã£ã¦ããã®ã§ãã¨ããããåå¼·ã®ããã«ç¿»è¨³ãã¦ããã Aberrant Behavior Detection with Holt-Winters Forecasting RRDtoolã§ã¯ãHolt-Wintersã®ææ°å¹³æ»åæ³ã使ã£ã¦ãã½ãã ããããã°ã@kzk_moverã .@muddydixonããã®fluent-plugin-anomalydetectã«è§¦çºããã¦ãæªæ¥ã®å¤è©ä¾¡æ©ãä½ãå§ãã⦠> URL 2013-01-28 02:14:05 via YoruFukurou ã¨ããã£ã¦ããããªã®ãä½ã£ã¦ã (paperã¯ãã¡ã )ã 翻訳ã¯ä»¥ä¸ Holt-Winters äºæ¸¬ã§ã®ç°å¸¸æ¯èæ¤ç¥ ã¢ã°ãªã²ã¼ãé¢æ°ã«å ãã¦ãRRDtoolã§ãããã¼ã¿ã®å¹³æ»å(Holt-Winters äºæ¸¬ã¢ã«ã´ãªãºã )ãä¿¡é ¼åºéãæç³»åãã¼ã¿ã½ã¼ã¹ä¸ã®ç°å¸¸æ¯èã«ã
The document discusses using RRDtool to create colorful and informative graphs for visualizing system load average data over time. It provides an example of a graph that divides the load average values into 28 colored areas to clearly show at a glance when the load average was in different ranges, making it easy to understand the overall situation over the period graphed. Previous examples shown i
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ãã®é ã¯GraphiteããInfluxDBãrrdtoolã«åã£ã¦ä»£ãããã¤ã¤ãããã§ãããããrrdtoolã®ã³ãã³ãå¼æ°ã¯ããã£ã¦ã¿ãã¨æå¤ã¨æ¥½ãããã®ã§ã(人ã«ããã¾ãã)ããã®ããã "rrdtool 誰ãä¸çªãã£ãããã°ã©ãæãããé¸æ権"â æ¡åç¿å¸ (@shoichimasuhara) April 4, 2014 ã¨ãæãã¤ãã§è¨ãã¾ããããã¨ããããåºã®å£ã¨ãããå座ã¨ããããã¨ãããããã£ã¦è¦ãã ããã£ã¦ã¿ããã¨æãã¾ã MRTG ã¨ããããæ¸ããªããããªæã MRTGã®ã°ã©ãã彷彿ã¨ããã¾ãããã³ãã³ãã©ã¤ã³ã¯ãã¡ã rrdtool graph shoichi.example.com_loadavg5_1.png \ --title "load average 5 of shoichi.example.com" \ --start end-1w --end now \
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