{"id":39034,"date":"2019-10-31T22:27:30","date_gmt":"2019-10-31T19:27:30","guid":{"rendered":"https:\/\/prohoster.info\/blog\/planirovshhik-resursov-v-hpe-infosight\/"},"modified":"2019-10-31T22:27:30","modified_gmt":"2019-10-31T19:27:30","slug":"planirovshhik-resursov-v-hpe-infosight","status":"publish","type":"post","link":"https:\/\/prohoster.info\/sv\/blog\/administrirovanie\/planirovshhik-resursov-v-hpe-infosight","title":{"rendered":"Resursschemal\u00e4ggare i HPE InfoSight","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"<p><img decoding=\"async\" alt=\"Resursschemal\u00e4ggare i HPE InfoSight\" src=\"\/wp-content\/uploads\/2019\/10\/60bd56691ce75aa14539097b104f444f.jpg\" style=\"display:block;margin: 0 auto;\" \/><br \/>\n<br \/>\nHPE InfoSight \u2013 en molntj\u00e4nst fr\u00e5n HPE som g\u00f6r det m\u00f6jligt att proaktivt identifiera potentiella problem med tillf\u00f6rlitlighet och prestanda hos HPE Nimble- och HPE 3PAR-lagringssystem. Tj\u00e4nsten kan ocks\u00e5 genast rekommendera s\u00e4tt att \u00e5tg\u00e4rda m\u00f6jliga problem, och i vissa fall kan problemen \u00e5tg\u00e4rdas proaktivt, automatiskt. <\/p>\n<p>Vi har redan ber\u00e4ttat om HPE InfoSight p\u00e5 HABR, se till exempel, <noindex><a rel=\"nofollow\" href=\"https:\/\/habr.com\/ru\/company\/hpe\/blog\/329202\/\">h\u00e4r<\/a><\/noindex> eller <noindex><a rel=\"nofollow\" href=\"https:\/\/community.hpe.com\/t5\/Around-the-Storage-Block\/Powered-by-HPE-InfoSight-the-future-is-autonomous\/ba-p\/6981325#.XahBxZAUk2x\">h\u00e4r<\/a><\/noindex>.<\/p>\n<p> I detta inl\u00e4gg vill jag ber\u00e4tta om en ny funktion i HPE InfoSight \u2013 Resursschemal\u00e4ggaren. <br \/>\n<noindex><a rel=\"nofollow\" name=\"habracut\"><\/a><\/noindex><br \/>\n HPE InfoSight Resursschemal\u00e4ggare \u2013 ett nytt kraftfullt verktyg som hj\u00e4lper kunder att avg\u00f6ra om de kan l\u00e4gga till nya arbetsbelastningar eller applikationer p\u00e5 sina system med h\u00e4nsyn till befintliga arbetsbelastningar. Klarar systemet en \u00f6kning av belastningen eller beh\u00f6vs ett nytt system? Om ett nytt system beh\u00f6vs, vilket? Prognosmodellering fr\u00e5n Resursschemal\u00e4ggaren hj\u00e4lper till att exakt f\u00f6rst\u00e5 behoven och korrekt genomf\u00f6ra sizing av uppgraderingen av befintligt system eller sizing av ett nytt system. <\/p>\n<p>Schemal\u00e4ggaren g\u00f6r f\u00f6ljande:<\/p>\n<ul>\n<li>modellerar potentiella f\u00f6r\u00e4ndringar i befintliga arbetsbelastningar;<\/li>\n<li>bed\u00f6mer p\u00e5verkan p\u00e5 systemresurser s\u00e5som: processor, kapacitet och cache-minne;<\/li>\n<li>visar resultaten f\u00f6r olika systemmodeller.<\/li>\n<\/ul>\n<p>\n Genom att samla in statistik och parametrisk information om systemens prestanda (\u00f6ver hela den installerade basen av system) och analysera olika arbetsbelastningar i m\u00e5nga kundmilj\u00f6er kan vi identifiera specifika orsaks- och verkanrelationer samt kvantitativa samband. Till exempel vet vi hur deduplicering p\u00e5verkar processoranv\u00e4ndningen i olika systemmodeller. Vi vet att Virtual Desktop-milj\u00f6er \u00e4r mer ben\u00e4gna att dedupliceras och komprimeras j\u00e4mf\u00f6rt med SQL. Vi vet att applikationer som Exchange generellt har en h\u00f6gre andel sekventiella (till skillnad fr\u00e5n slumpm\u00e4ssiga) l\u00e4soperationer \u00e4n Virtual Desktop. Med hj\u00e4lp av s\u00e5dan information kan vi modellera effekten av f\u00f6r\u00e4ndringar i belastningen f\u00f6r att f\u00f6rutse resursbehoven f\u00f6r en specifik systemmodell.<\/p>\n<p> Hur fungerar Schemal\u00e4ggaren - l\u00e5t oss titta p\u00e5 f\u00f6ljande exempel.<\/p>\n<p>Resource Planner startas p\u00e5 HPE InfoSight-portalen under avsnittet LABS. L\u00e5t oss b\u00f6rja med att v\u00e4lja en ny arbetslast \u2013 Add New Workload (ut\u00f6ver den befintliga). Ett annat alternativ som vi kommer att \u00f6verv\u00e4ga senare \u2013 Add Existing Workload (\u00e4ndra en befintlig arbetslast).<\/p>\n<p><img decoding=\"async\" alt=\"Resursschemal\u00e4ggare i HPE InfoSight\" src=\"\/wp-content\/uploads\/2019\/10\/56b85156eab601a0541cbb87cccbbeff.jpg\" style=\"display:block;margin: 0 auto;\" \/><br \/>\n<br \/>\nV\u00e4lj kategori f\u00f6r arbetslast\/applikation: <\/p>\n<p><img decoding=\"async\" alt=\"Resursschemal\u00e4ggare i HPE InfoSight\" src=\"\/wp-content\/uploads\/2019\/10\/b704463d2418c097669b8f5de98630d2.jpg\" style=\"display:block;margin: 0 auto;\" \/><br \/>\n<br \/>\nVid behov kan olika \u00e4ndringar g\u00f6ras i den nya arbetslasten: datam\u00e4ngd, IOPs, typen av arbetslast och dedupliceringsl\u00e4ge.<\/p>\n<p><img decoding=\"async\" alt=\"Resursschemal\u00e4ggare i HPE InfoSight\" src=\"\/wp-content\/uploads\/2019\/10\/1acc4d5a75978be274e496d67f503807.jpg\" style=\"display:block;margin: 0 auto;\" \/><br \/>\n<br \/>\nD\u00e4refter v\u00e4ljer vi lagringssystemet (fr\u00e5n de som kunden har) f\u00f6r vilket vi vill simulera denna nya arbetslast och klickar p\u00e5 knappen Analysera.<\/p>\n<p><img decoding=\"async\" alt=\"Resursschemal\u00e4ggare i HPE InfoSight\" src=\"\/wp-content\/uploads\/2019\/10\/38c5ffed79d463883f4513e13d03b523.jpg\" style=\"display:block;margin: 0 auto;\" \/><br \/>\n<br \/>\nSom resultat f\u00e5r vi p\u00e5verkan av denna nya f\u00f6reslagna arbetslast (ut\u00f6ver den aktuella lasten) p\u00e5 CPU-resurser och kapacitet. Om vi hade valt en hybrid flash-lagring skulle vi ocks\u00e5 ha sett p\u00e5verkan p\u00e5 systemets cache-minne, men i detta fall har vi en all flash-lagring AF60, f\u00f6r vilken begreppet cache-minne (p\u00e5 SSD) inte \u00e4r till\u00e4mpligt.<\/p>\n<p>Vi ser (till h\u00f6ger, i den \u00f6vre diagrammet \u2013 CPU-behov) att lagringssystemet AF60, f\u00f6r vilket vi planerade den nya arbetslasten, inte har tillr\u00e4ckliga processorresurser f\u00f6r att hantera den nya arbetslasten: vid till\u00e4gg av den nya lasten kommer CPU att utnyttjas till 110%. I det undre diagrammet (Kapacitetsbehov) visas att det finns tillr\u00e4ckligt med kapacitet f\u00f6r den nya lasten. F\u00f6rutom AF60 visas \u00e4ven andra lagringsmodeller i b\u00e5da diagrammen \u2013 f\u00f6r att j\u00e4mf\u00f6ra med vad som skulle h\u00e4nda om vi hade en annan lagring. <\/p>\n<p><img decoding=\"async\" alt=\"Resursschemal\u00e4ggare i HPE InfoSight\" src=\"\/wp-content\/uploads\/2019\/10\/23e668f0fb703df1a5f38e6440a798af.jpg\" style=\"display:block;margin: 0 auto;\" \/><br \/>\n<br \/>\nI n\u00e4sta bild visas vad som h\u00e4nder n\u00e4r vi markerar alternativet display multiple head shelves (alternativ n\u00e4r vi v\u00e4ljer den ursprungliga lagringen). Detta alternativ g\u00f6r det m\u00f6jligt att utf\u00f6ra analys f\u00f6r flera identiska lagringssystem. Det \u00e4r uppenbart att f\u00f6r den totala (nya och befintliga) lasten r\u00e4cker det med ett AF80-system, eller tv\u00e5 AF60-system, eller tre AF40-system.<\/p>\n<p><img decoding=\"async\" alt=\"Resursschemal\u00e4ggare i HPE InfoSight\" src=\"\/wp-content\/uploads\/2019\/10\/6f6eb996b1389986e2eb7aff97410b14.jpg\" style=\"display:block;margin: 0 auto;\" \/><br \/>\n<br \/>\nGenom resursplaneraren kan man \u00e4ven simulera \u00e4ndringar av den nuvarande lasten. F\u00f6r detta beh\u00f6ver man i det f\u00f6rsta steget v\u00e4lja add existing workload (ist\u00e4llet f\u00f6r add new workload \u2013 som vi gjorde i b\u00f6rjan). D\u00e4refter kan man modellera \u00e4ndringen av den befintliga lasten och se vilka resultat det ger. I exemplet nedan simuleras en f\u00f6rdubbling av lasten och kapaciteten f\u00f6r applikationer av typen File Server (dvs. i detta exempel \u00f6kar vi inte hela belastningen p\u00e5 lagringssystemet, utan endast belastningen f\u00f6r en specifik typ av applikationer). <\/p>\n<p><img decoding=\"async\" alt=\"Resursschemal\u00e4ggare i HPE InfoSight\" src=\"\/wp-content\/uploads\/2019\/10\/76f8765772c971cc4b2f2ddf1335c9ce.jpg\" style=\"display:block;margin: 0 auto;\" \/><br \/>\n<br \/>\nI det h\u00e4r fallet \u00e4r det tydligt att resurserna i arrayen m\u00f6jligg\u00f6r en f\u00f6rdubbling av belastningen f\u00f6r File Server-applikationer, men inte mer \u00e4n s\u00e5 \u2013 eftersom processorkraften kommer att utnyttjas till 99%.<\/p>\n<p><img decoding=\"async\" alt=\"Resursschemal\u00e4ggare i HPE InfoSight\" src=\"\/wp-content\/uploads\/2019\/10\/08aa29da68638e73c64244f16e9fe989.jpg\" style=\"display:block;margin: 0 auto;\" \/><br \/>\n<br \/>K\u00e4lla: <a content=\"nofollow\" rel=\"nofollow\" href=\"https:\/\/habr.com\/ru\/company\/hpe\/blog\/471904\/\">habr.com<\/a><\/p>","protected":false,"gt_translate_keys":[{"key":"rendered","format":"html"}]},"excerpt":{"rendered":"<p>HPE InfoSight \u2013 \u043e\u0431\u043b\u0430\u0447\u043d\u044b\u0439 \u0441\u0435\u0440\u0432\u0438\u0441 \u041d\u0420\u0415, \u043f\u043e\u0437\u0432\u043e\u043b\u044f\u044e\u0449\u0438\u0439 \u043f\u0440\u043e\u0430\u043a\u0442\u0438\u0432\u043d\u043e \u0432\u044b\u044f\u0432\u043b\u044f\u0442\u044c \u0432\u043e\u0437\u043c\u043e\u0436\u043d\u044b\u0435 \u043f\u0440\u043e\u0431\u043b\u0435\u043c\u044b \u0441 \u043d\u0430\u0434\u0451\u0436\u043d\u043e\u0441\u0442\u044c\u044e \u0438 \u0441 \u043f\u0440\u043e\u0438\u0437\u0432\u043e\u0434\u0438\u0442\u0435\u043b\u044c\u043d\u043e\u0441\u0442\u044c\u044e \u043c\u0430\u0441\u0441\u0438\u0432\u043e\u0432 HPE Nimble \u0438 HPE 3PAR. \u041f\u0440\u0438 \u044d\u0442\u043e\u043c \u0441\u0435\u0440\u0432\u0438\u0441 \u043c\u043e\u0436\u0435\u0442 \u0442\u0430\u043a\u0436\u0435 \u0441\u0440\u0430\u0437\u0443 \u0440\u0435\u043a\u043e\u043c\u0435\u043d\u0434\u043e\u0432\u0430\u0442\u044c \u0438 \u0441\u043f\u043e\u0441\u043e\u0431\u044b \u0443\u0441\u0442\u0440\u0430\u043d\u0435\u043d\u0438\u044f \u0432\u043e\u0437\u043c\u043e\u0436\u043d\u044b\u0445 \u043f\u0440\u043e\u0431\u043b\u0435\u043c, \u043f\u0440\u0438\u0447\u0451\u043c \u0432 \u0440\u044f\u0434\u0435 \u0441\u043b\u0443\u0447\u0430\u0435\u0432 \u0443\u0441\u0442\u0440\u0430\u043d\u0435\u043d\u0438\u0435 \u043f\u0440\u043e\u0431\u043b\u0435\u043c \u043c\u043e\u0436\u0435\u0442 \u0432\u044b\u043f\u043e\u043b\u043d\u044f\u0442\u044c\u0441\u044f \u043f\u0440\u043e\u0430\u043a\u0442\u0438\u0432\u043d\u043e, \u0432 \u0430\u0432\u0442\u043e\u043c\u0430\u0442\u0438\u0447\u0435\u0441\u043a\u043e\u043c \u0440\u0435\u0436\u0438\u043c\u0435. \u041f\u0440\u043e HPE InfoSight \u043c\u044b \u0443\u0436\u0435 \u0440\u0430\u0441\u0441\u043a\u0430\u0437\u044b\u0432\u0430\u043b\u0438 \u043d\u0430 HABR, \u0441\u043c., [&hellip;]<\/p>\n","protected":false,"gt_translate_keys":[{"key":"rendered","format":"html"}]},"author":1,"featured_media":29286,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[688],"tags":[],"class_list":["post-39034","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-administrirovanie"],"aioseo_notices":[],"aioseo_head":"\n\t\t<!-- All in One SEO 5.0.4 - aioseo.com -->\n\t<meta name=\"description\" content=\"HPE InfoSight \u2013 \u043e\u0431\u043b\u0430\u0447\u043d\u044b\u0439 \u0441\u0435\u0440\u0432\u0438\u0441 \u041d\u0420\u0415, \u043f\u043e\u0437\u0432\u043e\u043b\u044f\u044e\u0449\u0438\u0439.\" \/>\n\t<meta name=\"robots\" content=\"max-image-preview:large\" \/>\n\t<meta name=\"author\" content=\"Yuri Gagarin\"\/>\n\t<link rel=\"canonical\" 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