{"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\/da\/blog\/administrirovanie\/planirovshhik-resursov-v-hpe-infosight","title":{"rendered":"Ressourceplanl\u00e6gger i HPE InfoSight","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"<p><img decoding=\"async\" alt=\"Ressourceplanl\u00e6gger i HPE InfoSight\" src=\"\/wp-content\/uploads\/2019\/10\/60bd56691ce75aa14539097b104f444f.jpg\" style=\"display:block;margin: 0 auto;\" \/><br \/>\n<br \/>\nHPE InfoSight \u2013 en cloudtjeneste fra HPE, der g\u00f8r det muligt at identificere potentielle problemer med p\u00e5lidelighed og ydeevne i HPE Nimble og HPE 3PAR-systemer proaktivt. Tjenesten kan ogs\u00e5 straks anbefale l\u00f8sninger til at afhj\u00e6lpe eventuelle problemer, og i nogle tilf\u00e6lde kan problemerne l\u00f8ses proaktivt og automatisk. <\/p>\n<p>Vi har allerede omtalt HPE InfoSight p\u00e5 HABR, se f.eks. <noindex><a rel=\"nofollow\" href=\"https:\/\/habr.com\/ru\/company\/hpe\/blog\/329202\/\">her<\/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\">her<\/a><\/noindex>.<\/p>\n<p> I dette indl\u00e6g vil jeg fort\u00e6lle om en ny funktion i HPE InfoSight \u2013 Resource Planner. <br \/>\n<noindex><a rel=\"nofollow\" name=\"habracut\"><\/a><\/noindex><br \/>\n HPE InfoSight Resource Planner \u2013 dette er et nyt kraftfuldt v\u00e6rkt\u00f8j, der hj\u00e6lper kunder med at afg\u00f8re, om de kan tilf\u00f8je nye arbejdsbelastninger eller applikationer til deres systemer under hensyntagen til de eksisterende arbejdsbelastninger. Vil systemet kunne klare den \u00f8gede belastning, eller er der behov for et nyt system? Hvis der er behov for et nyt system, hvilket skal s\u00e5 v\u00e6lges? Prediktiv modellering med Resource Planner hj\u00e6lper med pr\u00e6cist at forst\u00e5 behovene og korrekt st\u00f8rrelsesbestemme opgraderingen af det eksisterende system eller st\u00f8rrelsesbestemme et nyt system. <\/p>\n<p>Resource Planner g\u00f8r det muligt at:<\/p>\n<ul>\n<li>modellerer potentielle \u00e6ndringer af eksisterende arbejdsbelastninger;<\/li>\n<li>vurdere p\u00e5virkningen p\u00e5 systemressourcer s\u00e5som: CPU, kapacitet og cache;<\/li>\n<li>se resultaterne for forskellige systemmodeller.<\/li>\n<\/ul>\n<p>\n Ved at indsamle statistik og parametre om driften af systemerne (gennem hele det installerede systembase) og analysere forskellige arbejdsbelastninger i mange kundemilj\u00f8er, kan vi identificere bestemte \u00e5rsags- og virkningsforhold samt kvantitative sammenh\u00e6nge. For eksempel ved vi, hvordan deduplicering p\u00e5virker CPU-brugen i forskellige systemmodeller. Vi ved, at Virtual Desktop-milj\u00f8er generelt dedupliceres og komprimeres bedre end SQL. Vi ved, at Exchange-applikationer typisk har en h\u00f8jere procentdel af sekventielle (i mods\u00e6tning til tilf\u00e6ldige) l\u00e6seoperationer end Virtual Desktop. Ved at bruge s\u00e5danne oplysninger kan vi modellere virkningen af \u00e6ndringer i belastningen for at forudsige ressourcebehovene for en bestemt systemmodel.<\/p>\n<p> S\u00e5dan fungerer Resource Planner \u2013 lad os se p\u00e5 f\u00f8lgende eksempler.<\/p>\n<p>Resource Planner startes p\u00e5 HPE InfoSight-portalen under sektionen LABS. Vi begynder med at v\u00e6lge en ny arbejdsbyrde \u2013 Add New Workload (udover den eksisterende). En anden mulighed, som vi vil overveje senere \u2013 Add Existing Workload (\u00e6ndring af den nuv\u00e6rende arbejdsbyrde).<\/p>\n<p><img decoding=\"async\" alt=\"Ressourceplanl\u00e6gger i HPE InfoSight\" src=\"\/wp-content\/uploads\/2019\/10\/56b85156eab601a0541cbb87cccbbeff.jpg\" style=\"display:block;margin: 0 auto;\" \/><br \/>\n<br \/>\nVi v\u00e6lger kategori for arbejdsbyrden\/app: <\/p>\n<p><img decoding=\"async\" alt=\"Ressourceplanl\u00e6gger i HPE InfoSight\" src=\"\/wp-content\/uploads\/2019\/10\/b704463d2418c097669b8f5de98630d2.jpg\" style=\"display:block;margin: 0 auto;\" \/><br \/>\n<br \/>\nHvis n\u00f8dvendigt, kan der foretages forskellige \u00e6ndringer i den nye arbejdsbyrde: datam\u00e6ngde, IOPs, type arbejdsbyrde og deduplication-tilstand.<\/p>\n<p><img decoding=\"async\" alt=\"Ressourceplanl\u00e6gger i HPE InfoSight\" src=\"\/wp-content\/uploads\/2019\/10\/1acc4d5a75978be274e496d67f503807.jpg\" style=\"display:block;margin: 0 auto;\" \/><br \/>\n<br \/>\nDern\u00e6st v\u00e6lger vi et array (blandt dem, kunden har), som vi \u00f8nsker at modellere denne nye arbejdsbyrde for, og klikker p\u00e5 knappen Analyze.<\/p>\n<p><img decoding=\"async\" alt=\"Ressourceplanl\u00e6gger 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 indflydelsen fra denne nye foresl\u00e5ede arbejdsbyrde (udover den nuv\u00e6rende arbejdsbyrde) p\u00e5 CPU-ressourcerne og kapaciteten. Hvis vi havde valgt et hybrid flash-array, ville vi ogs\u00e5 have set indflydelsen p\u00e5 arrayets cache, men i dette tilf\u00e6lde har vi et all flash-array AF60, hvor begrebet cache (p\u00e5 SSD) ikke g\u00e6lder.<\/p>\n<p>Vi ser (til h\u00f8jre, p\u00e5 det \u00f8verste diagram \u2013 CPU needs), at arrayet AF60, som vi planlagde den nye arbejdsbyrde for, ikke har tilstr\u00e6kkelige CPU-ressourcer til at h\u00e5ndtere den nye arbejdsbyrde: ved tilf\u00f8jelsen af den nye arbejdsbyrde vil CPU'erne blive udnyttet med 110%. P\u00e5 det nederste diagram (Capacity needs) kan vi se, at der er tilstr\u00e6kkelig kapacitet til den nye arbejdsbyrde. Udover AF60-arrayet er der ogs\u00e5 vist andre modeller af arrays p\u00e5 begge diagrammer \u2013 til sammenligning med hvad der ville v\u00e6re tilf\u00e6ldet, hvis vi havde et andet array. <\/p>\n<p><img decoding=\"async\" alt=\"Ressourceplanl\u00e6gger i HPE InfoSight\" src=\"\/wp-content\/uploads\/2019\/10\/23e668f0fb703df1a5f38e6440a798af.jpg\" style=\"display:block;margin: 0 auto;\" \/><br \/>\n<br \/>\nP\u00e5 det n\u00e6ste billede vises, hvad der sker, n\u00e5r vi s\u00e6tter flueben i display multiple head shelves (mulighed ved valg af det oprindelige array). Denne mulighed giver mulighed for at udf\u00f8re en analyse for flere ens arrays. Det er tydeligt, at der til den samlede (nye og eksisterende) arbejdsbyrde er tilstr\u00e6kkeligt med \u00e9t AF80-array, eller to AF60-arrays, eller tre AF40-arrays.<\/p>\n<p><img decoding=\"async\" alt=\"Ressourceplanl\u00e6gger i HPE InfoSight\" src=\"\/wp-content\/uploads\/2019\/10\/6f6eb996b1389986e2eb7aff97410b14.jpg\" style=\"display:block;margin: 0 auto;\" \/><br \/>\n<br \/>\nMed ressourceplanl\u00e6ggeren kan man ogs\u00e5 modellere \u00e6ndringer i kun den nuv\u00e6rende arbejdsbyrde. Til dette skal man i det f\u00f8rste trin v\u00e6lge add existing workload (i stedet for add new workload \u2013 som vi gjorde i starten). Derefter kan man modellere \u00e6ndringer i den eksisterende arbejdsbyrde og se, hvad det f\u00f8rer til. I eksemplet nedenfor modelleres en fordobling af arbejdsbyrden og en fordobling af kapaciteten for applikationer af typen File Server (dvs. i dette eksempel \u00f8ger vi ikke hele arbejdsbyrden p\u00e5 arrayet, men \u00f8ger kun arbejdsbyrden for den specifikke type applikationer). <\/p>\n<p><img decoding=\"async\" alt=\"Ressourceplanl\u00e6gger i HPE InfoSight\" src=\"\/wp-content\/uploads\/2019\/10\/76f8765772c971cc4b2f2ddf1335c9ce.jpg\" style=\"display:block;margin: 0 auto;\" \/><br \/>\n<br \/>\nI dette tilf\u00e6lde er det tydeligt, at ressourcerne i arrayet kan fordoble belastningen for File Server-applikationer, men ikke mere end det, da processorressourcerne vil v\u00e6re udnyttet op til 99%.<\/p>\n<p><img decoding=\"async\" alt=\"Ressourceplanl\u00e6gger i HPE InfoSight\" src=\"\/wp-content\/uploads\/2019\/10\/08aa29da68638e73c64244f16e9fe989.jpg\" style=\"display:block;margin: 0 auto;\" \/><br \/>\n<br \/>Kilde: <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 5.0.3 - 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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