{"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\/no\/blog\/administrirovanie\/planirovshhik-resursov-v-hpe-infosight","title":{"rendered":"Ressursplanlegger i HPE InfoSight","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"<p><img decoding=\"async\" alt=\"Ressursplanlegger i HPE InfoSight\" src=\"\/wp-content\/uploads\/2019\/10\/60bd56691ce75aa14539097b104f444f.jpg\" style=\"display:block;margin: 0 auto;\" \/><br \/>\n<br \/>\nHPE InfoSight \u2013 en skybasert tjeneste fra HPE som gj\u00f8r det mulig \u00e5 proaktivt identifisere potensielle problemer med p\u00e5litelighet og ytelse av HPE Nimble og HPE 3PAR-lagringssystemer. Tjenesten kan ogs\u00e5 umiddelbart anbefale l\u00f8sninger for \u00e5 l\u00f8se eventuelle problemer, og i flere tilfeller kan problemet l\u00f8ses proaktivt, automatisk. <\/p>\n<p>Vi har allerede snakket om HPE InfoSight p\u00e5 HABR, se for eksempel, <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 innlegget \u00f8nsker jeg \u00e5 fortelle om en ny funksjon i HPE InfoSight \u2013 Ressursplanleggeren. <br \/>\n<noindex><a rel=\"nofollow\" name=\"habracut\"><\/a><\/noindex><br \/>\n HPE InfoSight Ressursplanlegger \u2013 er et nytt kraftig verkt\u00f8y som hjelper kunder med \u00e5 bestemme om de kan legge til nye arbeidsbelastninger eller applikasjoner p\u00e5 lagringssystemene sine, med hensyn til eksisterende arbeidsbelastninger. Vil lagringssystemet takle \u00f8kningen i belastningen, eller vil det v\u00e6re n\u00f8dvendig med et nytt system? Hvis et nytt system er n\u00f8dvendig, hvilket? Prognosemodellering fra Ressursplanleggeren hjelper med \u00e5 forst\u00e5 behovene n\u00f8yaktig og hvordan man riktig vurderer oppgradering av eksisterende lagringssystem eller vurderer et nytt system. <\/p>\n<p>Planleggeren lar deg gj\u00f8re f\u00f8lgende:<\/p>\n<ul>\n<li>modellere potensielle endringer i eksisterende arbeidsbelastninger;<\/li>\n<li>vurdere effekten p\u00e5 ressurser som: prosessor, kapasitet og hurtigminne;<\/li>\n<li>f\u00e5 oversikt over resultater for forskjellige lagringsmodeller.<\/li>\n<\/ul>\n<p>\n Ved \u00e5 samle statistikk og parameterinformasjon om lagringssystemenes drift (p\u00e5 tvers av den installerte basen av systemer) og analysere forskjellige arbeidsbelastninger i mange klientmilj\u00f8er, kan vi avdekke visse \u00e5rsaks- og virkningsforhold samt kvantitative relasjoner. For eksempel vet vi hvordan deduplisering p\u00e5virker prosessorbruken i ulike lagringsmodeller. Vi vet at Virtual Desktop-milj\u00f8er dedupliseres og komprimeres bedre enn SQL. Vi vet at Exchange-applikasjoner generelt har en h\u00f8yere andel sekvensielle (i motsetning til tilfeldige) leseoperasjoner enn Virtual Desktop. Ved \u00e5 bruke slik informasjon kan vi modellere virkningen av endringer i belastningen for \u00e5 forutsi ressursbehovene for en bestemt lagringsmodell.<\/p>\n<p> Hvordan fungerer Planleggeren \u2013 la oss se p\u00e5 f\u00f8lgende eksempler.<\/p>\n<p>Resource Planner lanseres p\u00e5 HPE InfoSight-portalen under LABS. La oss begynne med \u00e5 velge en ny arbeidsbelastning \u2013 Legg til ny arbeidsbelastning (i tillegg til eksisterende). Et annet alternativ vi vil vurdere senere \u2013 Legg til eksisterende arbeidsbelastning (endre eksisterende arbeidsbelastning).<\/p>\n<p><img decoding=\"async\" alt=\"Ressursplanlegger i HPE InfoSight\" src=\"\/wp-content\/uploads\/2019\/10\/56b85156eab601a0541cbb87cccbbeff.jpg\" style=\"display:block;margin: 0 auto;\" \/><br \/>\n<br \/>\nVi velger kategori for arbeidsbelastningen\/applikasjonen: <\/p>\n<p><img decoding=\"async\" alt=\"Ressursplanlegger i HPE InfoSight\" src=\"\/wp-content\/uploads\/2019\/10\/b704463d2418c097669b8f5de98630d2.jpg\" style=\"display:block;margin: 0 auto;\" \/><br \/>\n<br \/>\nOm n\u00f8dvendig kan flere endringer gj\u00f8res i den nye arbeidsbelastningen: datavolum, IOPs, type arbeidsbelastning og dedupliseringsmodus.<\/p>\n<p><img decoding=\"async\" alt=\"Ressursplanlegger i HPE InfoSight\" src=\"\/wp-content\/uploads\/2019\/10\/1acc4d5a75978be274e496d67f503807.jpg\" style=\"display:block;margin: 0 auto;\" \/><br \/>\n<br \/>\nDeretter velger vi et array (fra de tilgjengelige hos kunden), for hvilket vi \u00f8nsker \u00e5 modellere denne nye arbeidsbelastningen, og klikker p\u00e5 Analyze.<\/p>\n<p><img decoding=\"async\" alt=\"Ressursplanlegger i HPE InfoSight\" src=\"\/wp-content\/uploads\/2019\/10\/38c5ffed79d463883f4513e13d03b523.jpg\" style=\"display:block;margin: 0 auto;\" \/><br \/>\n<br \/>\nResultatet viser effekten av denne nye foresl\u00e5tte arbeidsbelastningen (i tillegg til den n\u00e5v\u00e6rende belastningen) p\u00e5 CPU-ressurser og kapasitet. Hvis vi hadde valgt et hybrid flash-array, ville vi ogs\u00e5 sett effekten p\u00e5 cache-minnet av arrayet, men i dette tilfellet har vi et rent flash-array AF60, hvor konseptet cache-minne (p\u00e5 SSD) ikke er aktuelt.<\/p>\n<p>Vi ser (til h\u00f8yre, i den \u00f8verste diagrammet \u2013 CPU-behov), at arrayet AF60, som vi planla den nye belastningen for, ikke har tilstrekkelige prosessorkilder til \u00e5 h\u00e5ndtere den nye arbeidsbelastningen: n\u00e5r den nye belastningen legges til, vil CPU-ene v\u00e6re utnyttet opptil 110 %. I den nederste diagrammet (Kapasitetsbehov) vises det at det er tilstrekkelig kapasitet for den nye belastningen. I tillegg til arrayet AF60 vises ogs\u00e5 andre modeller av arrayer i begge diagrammer \u2013 for sammenligning med hva det ville v\u00e6rt hvis vi hadde hatt et annet array. <\/p>\n<p><img decoding=\"async\" alt=\"Ressursplanlegger i HPE InfoSight\" src=\"\/wp-content\/uploads\/2019\/10\/23e668f0fb703df1a5f38e6440a798af.jpg\" style=\"display:block;margin: 0 auto;\" \/><br \/>\n<br \/>\nI det neste bildet vises hva som skjer n\u00e5r vi setter merket for vis flere hodehyller (alternativ ved valg av startarray). Dette alternativet tillater analyse av flere identiske arrayer. Det er tydelig at for den totale (nye og eksisterende) belastningen er det tilstrekkelig med ett AF80-array, eller to AF60-arrayer, eller tre AF40-arrayer.<\/p>\n<p><img decoding=\"async\" alt=\"Ressursplanlegger i HPE InfoSight\" src=\"\/wp-content\/uploads\/2019\/10\/6f6eb996b1389986e2eb7aff97410b14.jpg\" style=\"display:block;margin: 0 auto;\" \/><br \/>\n<br \/>\nVed hjelp av ressursplanleggeren kan man ogs\u00e5 modellere endringer bare i den n\u00e5v\u00e6rende belastningen. For dette form\u00e5let m\u00e5 man i f\u00f8rste steg velge legg til eksisterende arbeidsbelastning (i stedet for legg til ny arbeidsbelastning \u2013 som vi gjorde i starten). Deretter kan man modellere endringen i eksisterende belastning og se hva det vil f\u00f8re til. I eksempelet nedenfor modelleres en dobling av belastningen og en dobling av kapasiteten for applikasjoner som File Server (dvs. i dette eksempelet \u00f8ker vi ikke hele belastningen p\u00e5 arrayet, men \u00f8ker kun belastningen for en spesifikk type applikasjoner). <\/p>\n<p><img decoding=\"async\" alt=\"Ressursplanlegger i HPE InfoSight\" src=\"\/wp-content\/uploads\/2019\/10\/76f8765772c971cc4b2f2ddf1335c9ce.jpg\" style=\"display:block;margin: 0 auto;\" \/><br \/>\n<br \/>\nI dette tilfellet er det tydelig at ressursene i systemet tillater \u00e5 doble belastningen for File Server-applikasjoner, men ikke mer enn det, ettersom prosessorkapasiteten vil bli utnyttet opptil 99%.<\/p>\n<p><img decoding=\"async\" alt=\"Ressursplanlegger 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 5.0.5 - 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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